id	sid	tid	token	lemma	pos
ejpam-5932	1	1	european	european	PROPN
ejpam-5932	1	2	journal	journal	PROPN
ejpam-5932	1	3	of	of	ADP
ejpam-5932	1	4	pure	pure	ADJ
ejpam-5932	1	5	and	and	CCONJ
ejpam-5932	1	6	applied	applied	ADJ
ejpam-5932	1	7	mathematics	mathematic	NOUN
ejpam-5932	1	8	2025	2025	NUM
ejpam-5932	1	9	,	,	PUNCT
ejpam-5932	1	10	vol	vol	NOUN
ejpam-5932	1	11	.	.	PROPN
ejpam-5932	1	12	18	18	NUM
ejpam-5932	1	13	,	,	PUNCT
ejpam-5932	1	14	issue	issue	NOUN
ejpam-5932	1	15	2	2	NUM
ejpam-5932	1	16	,	,	PUNCT
ejpam-5932	1	17	article	article	NOUN
ejpam-5932	1	18	number	number	NOUN
ejpam-5932	1	19	5932	5932	NUM
ejpam-5932	1	20	issn	issn	PROPN
ejpam-5932	1	21	1307	1307	NUM
ejpam-5932	1	22	-	-	SYM
ejpam-5932	1	23	5543	5543	NUM
ejpam-5932	1	24	–	–	PUNCT
ejpam-5932	1	25	ejpam.com	ejpam.com	X
ejpam-5932	1	26	published	publish	VERB
ejpam-5932	1	27	by	by	ADP
ejpam-5932	1	28	new	new	PROPN
ejpam-5932	1	29	york	york	PROPN
ejpam-5932	1	30	business	business	PROPN
ejpam-5932	1	31	global	global	PROPN
ejpam-5932	1	32	a	a	DET
ejpam-5932	1	33	globally	globally	ADV
ejpam-5932	1	34	convergent	convergent	ADJ
ejpam-5932	1	35	conjugate	conjugate	ADJ
ejpam-5932	1	36	gradient	gradient	NOUN
ejpam-5932	1	37	method	method	NOUN
ejpam-5932	1	38	incorporating	incorporate	VERB
ejpam-5932	1	39	perry	perry	NOUN
ejpam-5932	1	40	’s	’s	PART
ejpam-5932	1	41	parameter	parameter	NOUN
ejpam-5932	1	42	for	for	ADP
ejpam-5932	1	43	unconstrained	unconstrained	ADJ
ejpam-5932	1	44	optimization	optimization	NOUN
ejpam-5932	1	45	hasan	hasan	PROPN
ejpam-5932	1	46	hazim	hazim	PROPN
ejpam-5932	1	47	jameel1	jameel1	PROPN
ejpam-5932	1	48	,	,	PUNCT
ejpam-5932	1	49	alaa	alaa	PROPN
ejpam-5932	1	50	luqman	luqman	PROPN
ejpam-5932	1	51	ibrahim2,∗	ibrahim2,∗	PROPN
ejpam-5932	1	52	,	,	PUNCT
ejpam-5932	1	53	neven	neven	PROPN
ejpam-5932	1	54	e.	e.	PROPN
ejpam-5932	1	55	zaya3	zaya3	PROPN
ejpam-5932	2	1	1	1	NUM
ejpam-5932	2	2	department	department	NOUN
ejpam-5932	2	3	of	of	ADP
ejpam-5932	2	4	mathematics	mathematic	NOUN
ejpam-5932	2	5	,	,	PUNCT
ejpam-5932	2	6	college	college	NOUN
ejpam-5932	2	7	of	of	ADP
ejpam-5932	2	8	basic	basic	ADJ
ejpam-5932	2	9	education	education	NOUN
ejpam-5932	2	10	,	,	PUNCT
ejpam-5932	2	11	university	university	NOUN
ejpam-5932	2	12	of	of	ADP
ejpam-5932	2	13	duhok	duhok	PROPN
ejpam-5932	2	14	,	,	PUNCT
ejpam-5932	2	15	kurdistan	kurdistan	PROPN
ejpam-5932	2	16	region	region	PROPN
ejpam-5932	2	17	-	-	PUNCT
ejpam-5932	2	18	iraq	iraq	PROPN
ejpam-5932	2	19	2	2	NUM
ejpam-5932	2	20	department	department	NOUN
ejpam-5932	2	21	of	of	ADP
ejpam-5932	2	22	mathematics	mathematic	NOUN
ejpam-5932	2	23	,	,	PUNCT
ejpam-5932	2	24	college	college	NOUN
ejpam-5932	2	25	of	of	ADP
ejpam-5932	2	26	science	science	NOUN
ejpam-5932	2	27	,	,	PUNCT
ejpam-5932	2	28	university	university	NOUN
ejpam-5932	2	29	of	of	ADP
ejpam-5932	2	30	zakho	zakho	PROPN
ejpam-5932	2	31	,	,	PUNCT
ejpam-5932	2	32	kurdistan	kurdistan	PROPN
ejpam-5932	2	33	region	region	NOUN
ejpam-5932	2	34	-	-	PUNCT
ejpam-5932	2	35	iraq	iraq	PROPN
ejpam-5932	2	36	3	3	NUM
ejpam-5932	2	37	management	management	NOUN
ejpam-5932	2	38	information	information	NOUN
ejpam-5932	2	39	system	system	NOUN
ejpam-5932	2	40	,	,	PUNCT
ejpam-5932	2	41	administrative	administrative	PROPN
ejpam-5932	2	42	technical	technical	PROPN
ejpam-5932	2	43	institute	institute	PROPN
ejpam-5932	2	44	,	,	PUNCT
ejpam-5932	2	45	duhok	duhok	PROPN
ejpam-5932	2	46	polytechnic	polytechnic	ADJ
ejpam-5932	2	47	university	university	PROPN
ejpam-5932	2	48	,	,	PUNCT
ejpam-5932	2	49	kurdistan	kurdistan	PROPN
ejpam-5932	2	50	region	region	NOUN
ejpam-5932	2	51	-	-	PUNCT
ejpam-5932	2	52	iraq	iraq	PROPN
ejpam-5932	2	53	abstract	abstract	NOUN
ejpam-5932	2	54	.	.	PUNCT
ejpam-5932	3	1	to	to	PART
ejpam-5932	3	2	develop	develop	VERB
ejpam-5932	3	3	a	a	DET
ejpam-5932	3	4	conjugate	conjugate	ADJ
ejpam-5932	3	5	gradient	gradient	NOUN
ejpam-5932	3	6	method	method	NOUN
ejpam-5932	3	7	that	that	PRON
ejpam-5932	3	8	is	be	AUX
ejpam-5932	3	9	both	both	PRON
ejpam-5932	3	10	theoretically	theoretically	ADV
ejpam-5932	3	11	robust	robust	ADJ
ejpam-5932	3	12	and	and	CCONJ
ejpam-5932	3	13	practically	practically	ADV
ejpam-5932	3	14	effective	effective	ADJ
ejpam-5932	3	15	for	for	ADP
ejpam-5932	3	16	solving	solve	VERB
ejpam-5932	3	17	unconstrained	unconstrained	ADJ
ejpam-5932	3	18	optimization	optimization	NOUN
ejpam-5932	3	19	problems	problem	NOUN
ejpam-5932	3	20	,	,	PUNCT
ejpam-5932	3	21	this	this	DET
ejpam-5932	3	22	paper	paper	NOUN
ejpam-5932	3	23	introduces	introduce	VERB
ejpam-5932	3	24	a	a	DET
ejpam-5932	3	25	novel	novel	ADJ
ejpam-5932	3	26	conjugate	conjugate	ADJ
ejpam-5932	3	27	gradient	gradient	NOUN
ejpam-5932	3	28	method	method	NOUN
ejpam-5932	3	29	incorporating	incorporate	VERB
ejpam-5932	3	30	perry	perry	NOUN
ejpam-5932	3	31	’s	’s	PART
ejpam-5932	3	32	parameter	parameter	NOUN
ejpam-5932	3	33	along	along	ADP
ejpam-5932	3	34	with	with	ADP
ejpam-5932	3	35	the	the	DET
ejpam-5932	3	36	gradient	gradient	NOUN
ejpam-5932	3	37	-	-	PUNCT
ejpam-5932	3	38	difference	difference	NOUN
ejpam-5932	3	39	vector	vector	NOUN
ejpam-5932	3	40	,	,	PUNCT
ejpam-5932	3	41	as	as	SCONJ
ejpam-5932	3	42	suggested	suggest	VERB
ejpam-5932	3	43	by	by	ADP
ejpam-5932	3	44	powell	powell	PROPN
ejpam-5932	3	45	,	,	PUNCT
ejpam-5932	3	46	to	to	PART
ejpam-5932	3	47	enhance	enhance	VERB
ejpam-5932	3	48	performance	performance	NOUN
ejpam-5932	3	49	.	.	PUNCT
ejpam-5932	4	1	the	the	DET
ejpam-5932	4	2	proposed	propose	VERB
ejpam-5932	4	3	method	method	NOUN
ejpam-5932	4	4	satisfies	satisfy	VERB
ejpam-5932	4	5	the	the	DET
ejpam-5932	4	6	descent	descent	NOUN
ejpam-5932	4	7	condition	condition	NOUN
ejpam-5932	4	8	,	,	PUNCT
ejpam-5932	4	9	and	and	CCONJ
ejpam-5932	4	10	its	its	PRON
ejpam-5932	4	11	global	global	ADJ
ejpam-5932	4	12	convergence	convergence	NOUN
ejpam-5932	4	13	is	be	AUX
ejpam-5932	4	14	established	establish	VERB
ejpam-5932	4	15	under	under	ADP
ejpam-5932	4	16	standard	standard	ADJ
ejpam-5932	4	17	assumptions	assumption	NOUN
ejpam-5932	4	18	.	.	PUNCT
ejpam-5932	5	1	to	to	PART
ejpam-5932	5	2	assess	assess	VERB
ejpam-5932	5	3	its	its	PRON
ejpam-5932	5	4	effectiveness	effectiveness	NOUN
ejpam-5932	5	5	,	,	PUNCT
ejpam-5932	5	6	the	the	DET
ejpam-5932	5	7	method	method	NOUN
ejpam-5932	5	8	was	be	AUX
ejpam-5932	5	9	tested	test	VERB
ejpam-5932	5	10	on	on	ADP
ejpam-5932	5	11	a	a	DET
ejpam-5932	5	12	diverse	diverse	ADJ
ejpam-5932	5	13	set	set	NOUN
ejpam-5932	5	14	of	of	ADP
ejpam-5932	5	15	unconstrained	unconstrained	ADJ
ejpam-5932	5	16	optimization	optimization	NOUN
ejpam-5932	5	17	problems	problem	NOUN
ejpam-5932	5	18	and	and	CCONJ
ejpam-5932	5	19	compared	compare	VERB
ejpam-5932	5	20	against	against	ADP
ejpam-5932	5	21	well	well	ADV
ejpam-5932	5	22	-	-	PUNCT
ejpam-5932	5	23	known	know	VERB
ejpam-5932	5	24	conjugate	conjugate	ADJ
ejpam-5932	5	25	gradient	gradient	NOUN
ejpam-5932	5	26	methods	method	NOUN
ejpam-5932	5	27	.	.	PUNCT
ejpam-5932	6	1	numerical	numerical	ADJ
ejpam-5932	6	2	experiments	experiment	NOUN
ejpam-5932	6	3	indicate	indicate	VERB
ejpam-5932	6	4	that	that	SCONJ
ejpam-5932	6	5	the	the	DET
ejpam-5932	6	6	proposed	propose	VERB
ejpam-5932	6	7	method	method	NOUN
ejpam-5932	6	8	outperforms	outperform	VERB
ejpam-5932	6	9	classical	classical	ADJ
ejpam-5932	6	10	approaches	approach	NOUN
ejpam-5932	6	11	in	in	ADP
ejpam-5932	6	12	terms	term	NOUN
ejpam-5932	6	13	of	of	ADP
ejpam-5932	6	14	iteration	iteration	NOUN
ejpam-5932	6	15	count	count	NOUN
ejpam-5932	6	16	,	,	PUNCT
ejpam-5932	6	17	function	function	NOUN
ejpam-5932	6	18	evaluations	evaluation	NOUN
ejpam-5932	6	19	,	,	PUNCT
ejpam-5932	6	20	and	and	CCONJ
ejpam-5932	6	21	computational	computational	ADJ
ejpam-5932	6	22	time	time	NOUN
ejpam-5932	6	23	.	.	PUNCT
ejpam-5932	7	1	the	the	DET
ejpam-5932	7	2	results	result	NOUN
ejpam-5932	7	3	confirm	confirm	VERB
ejpam-5932	7	4	the	the	DET
ejpam-5932	7	5	robustness	robustness	NOUN
ejpam-5932	7	6	and	and	CCONJ
ejpam-5932	7	7	efficiency	efficiency	NOUN
ejpam-5932	7	8	of	of	ADP
ejpam-5932	7	9	the	the	DET
ejpam-5932	7	10	proposed	propose	VERB
ejpam-5932	7	11	method	method	NOUN
ejpam-5932	7	12	,	,	PUNCT
ejpam-5932	7	13	making	make	VERB
ejpam-5932	7	14	it	it	PRON
ejpam-5932	7	15	a	a	DET
ejpam-5932	7	16	competitive	competitive	ADJ
ejpam-5932	7	17	choice	choice	NOUN
ejpam-5932	7	18	for	for	ADP
ejpam-5932	7	19	large	large	ADJ
ejpam-5932	7	20	-	-	PUNCT
ejpam-5932	7	21	scale	scale	NOUN
ejpam-5932	7	22	optimization	optimization	NOUN
ejpam-5932	7	23	problems	problem	NOUN
ejpam-5932	7	24	.	.	PUNCT
ejpam-5932	8	1	2020	2020	NUM
ejpam-5932	8	2	mathematics	mathematic	NOUN
ejpam-5932	8	3	subject	subject	NOUN
ejpam-5932	8	4	classifications	classification	NOUN
ejpam-5932	8	5	:	:	PUNCT
ejpam-5932	8	6	49	49	NUM
ejpam-5932	8	7	-	-	SYM
ejpam-5932	8	8	xx	xx	NUM
ejpam-5932	8	9	,	,	PUNCT
ejpam-5932	8	10	93	93	NUM
ejpam-5932	8	11	-	-	SYM
ejpam-5932	8	12	xx	xx	NUM
ejpam-5932	8	13	,	,	PUNCT
ejpam-5932	8	14	90bxx	90bxx	NOUN
ejpam-5932	8	15	,	,	PUNCT
ejpam-5932	8	16	90	90	NUM
ejpam-5932	8	17	-	-	PUNCT
ejpam-5932	8	18	xx	xx	PROPN
ejpam-5932	8	19	.	.	PUNCT
ejpam-5932	9	1	key	key	ADJ
ejpam-5932	9	2	words	word	NOUN
ejpam-5932	9	3	and	and	CCONJ
ejpam-5932	9	4	phrases	phrase	NOUN
ejpam-5932	9	5	:	:	PUNCT
ejpam-5932	9	6	unconstrained	unconstrained	ADJ
ejpam-5932	9	7	optimization	optimization	NOUN
ejpam-5932	9	8	,	,	PUNCT
ejpam-5932	9	9	conjugate	conjugate	ADJ
ejpam-5932	9	10	gradient	gradient	ADJ
ejpam-5932	9	11	methods	method	NOUN
ejpam-5932	9	12	,	,	PUNCT
ejpam-5932	9	13	global	global	ADJ
ejpam-5932	9	14	convergence	convergence	NOUN
ejpam-5932	9	15	,	,	PUNCT
ejpam-5932	9	16	numerical	numerical	ADJ
ejpam-5932	9	17	performance	performance	NOUN
ejpam-5932	9	18	.	.	PUNCT
ejpam-5932	10	1	1	1	X
ejpam-5932	10	2	.	.	X
ejpam-5932	10	3	introduction	introduction	NOUN
ejpam-5932	10	4	optimization	optimization	NOUN
ejpam-5932	10	5	involves	involve	VERB
ejpam-5932	10	6	the	the	DET
ejpam-5932	10	7	minimization	minimization	NOUN
ejpam-5932	10	8	or	or	CCONJ
ejpam-5932	10	9	maximization	maximization	NOUN
ejpam-5932	10	10	of	of	ADP
ejpam-5932	10	11	an	an	DET
ejpam-5932	10	12	objective	objective	ADJ
ejpam-5932	10	13	function	function	NOUN
ejpam-5932	10	14	.	.	PUNCT
ejpam-5932	11	1	a	a	DET
ejpam-5932	11	2	key	key	ADJ
ejpam-5932	11	3	subset	subset	NOUN
ejpam-5932	11	4	of	of	ADP
ejpam-5932	11	5	optimization	optimization	NOUN
ejpam-5932	11	6	is	be	AUX
ejpam-5932	11	7	unconstrained	unconstrained	ADJ
ejpam-5932	11	8	optimization	optimization	NOUN
ejpam-5932	11	9	,	,	PUNCT
ejpam-5932	11	10	which	which	PRON
ejpam-5932	11	11	focuses	focus	VERB
ejpam-5932	11	12	on	on	ADP
ejpam-5932	11	13	minimizing	minimize	VERB
ejpam-5932	11	14	a	a	DET
ejpam-5932	11	15	function	function	NOUN
ejpam-5932	11	16	of	of	ADP
ejpam-5932	11	17	real	real	ADJ
ejpam-5932	11	18	variables	variable	NOUN
ejpam-5932	11	19	without	without	ADP
ejpam-5932	11	20	constraints	constraint	NOUN
ejpam-5932	11	21	.	.	PUNCT
ejpam-5932	12	1	the	the	DET
ejpam-5932	12	2	general	general	ADJ
ejpam-5932	12	3	unconstrained	unconstrained	ADJ
ejpam-5932	12	4	optimization	optimization	NOUN
ejpam-5932	12	5	problem	problem	NOUN
ejpam-5932	12	6	can	can	AUX
ejpam-5932	12	7	be	be	AUX
ejpam-5932	12	8	formulated	formulate	VERB
ejpam-5932	12	9	as	as	ADP
ejpam-5932	12	10	:	:	PUNCT
ejpam-5932	12	11	min{f(x	min{f(x	NOUN
ejpam-5932	12	12	)	)	PUNCT
ejpam-5932	12	13	,	,	PUNCT
ejpam-5932	12	14	x	x	PROPN
ejpam-5932	12	15	∈	∈	PROPN
ejpam-5932	12	16	rn	rn	PROPN
ejpam-5932	12	17	}	}	PUNCT
ejpam-5932	12	18	,	,	PUNCT
ejpam-5932	12	19	(	(	PUNCT
ejpam-5932	12	20	1	1	X
ejpam-5932	12	21	)	)	PUNCT
ejpam-5932	12	22	∗corresponding	∗corresponde	VERB
ejpam-5932	12	23	author	author	NOUN
ejpam-5932	12	24	.	.	PUNCT
ejpam-5932	13	1	doi	doi	NOUN
ejpam-5932	13	2	:	:	PUNCT
ejpam-5932	13	3	https://doi.org/10.29020/nybg.ejpam.v18i2.5932	https://doi.org/10.29020/nybg.ejpam.v18i2.5932	NUM
ejpam-5932	13	4	email	email	NOUN
ejpam-5932	13	5	addresses	address	NOUN
ejpam-5932	13	6	:	:	PUNCT
ejpam-5932	13	7	hasan.jameel@uod.ac	hasan.jameel@uod.ac	X
ejpam-5932	13	8	(	(	PUNCT
ejpam-5932	13	9	h.	h.	PROPN
ejpam-5932	13	10	h.	h.	PROPN
ejpam-5932	13	11	jameel	jameel	PROPN
ejpam-5932	13	12	)	)	PUNCT
ejpam-5932	13	13	,	,	PUNCT
ejpam-5932	13	14	alaa.ibrahim@uoz.edu.krd	alaa.ibrahim@uoz.edu.krd	PROPN
ejpam-5932	13	15	(	(	PUNCT
ejpam-5932	13	16	a.	a.	PROPN
ejpam-5932	13	17	l.	l.	PROPN
ejpam-5932	13	18	ibrahim	ibrahim	PROPN
ejpam-5932	13	19	)	)	PUNCT
ejpam-5932	13	20	,	,	PUNCT
ejpam-5932	13	21	neven.zaya@dpu.edu.krd	neven.zaya@dpu.edu.krd	PROPN
ejpam-5932	13	22	(	(	PUNCT
ejpam-5932	13	23	n.	n.	PROPN
ejpam-5932	13	24	e.	e.	PROPN
ejpam-5932	13	25	zaya	zaya	PROPN
ejpam-5932	13	26	)	)	PUNCT
ejpam-5932	13	27	https://www.ejpam.com	https://www.ejpam.com	NOUN
ejpam-5932	14	1	1	1	NUM
ejpam-5932	14	2	copyright	copyright	NOUN
ejpam-5932	14	3	:	:	PUNCT
ejpam-5932	14	4	©	©	PROPN
ejpam-5932	14	5	2025	2025	NUM
ejpam-5932	14	6	the	the	DET
ejpam-5932	14	7	author(s	author(s	NOUN
ejpam-5932	14	8	)	)	PUNCT
ejpam-5932	14	9	.	.	PUNCT
ejpam-5932	15	1	(	(	PUNCT
ejpam-5932	15	2	cc	cc	NOUN
ejpam-5932	15	3	by	by	ADP
ejpam-5932	15	4	-	-	PUNCT
ejpam-5932	15	5	nc	nc	PROPN
ejpam-5932	15	6	4.0	4.0	NUM
ejpam-5932	15	7	)	)	PUNCT
ejpam-5932	15	8	a.	a.	NOUN
ejpam-5932	15	9	l.	l.	PROPN
ejpam-5932	15	10	ibrahim	ibrahim	PROPN
ejpam-5932	15	11	et	et	PROPN
ejpam-5932	15	12	al	al	PROPN
ejpam-5932	15	13	.	.	PUNCT
ejpam-5932	15	14	/	/	SYM
ejpam-5932	15	15	eur	eur	PROPN
ejpam-5932	15	16	.	.	PUNCT
ejpam-5932	16	1	j.	j.	PROPN
ejpam-5932	16	2	pure	pure	PROPN
ejpam-5932	16	3	appl	appl	PROPN
ejpam-5932	16	4	.	.	PROPN
ejpam-5932	16	5	math	math	PROPN
ejpam-5932	16	6	,	,	PUNCT
ejpam-5932	16	7	18	18	NUM
ejpam-5932	16	8	(	(	PUNCT
ejpam-5932	16	9	2	2	NUM
ejpam-5932	16	10	)	)	PUNCT
ejpam-5932	16	11	(	(	PUNCT
ejpam-5932	16	12	2025	2025	NUM
ejpam-5932	16	13	)	)	PUNCT
ejpam-5932	16	14	,	,	PUNCT
ejpam-5932	16	15	5932	5932	NUM
ejpam-5932	16	16	2	2	NUM
ejpam-5932	16	17	of	of	ADP
ejpam-5932	16	18	15	15	NUM
ejpam-5932	16	19	where	where	SCONJ
ejpam-5932	16	20	f	f	PROPN
ejpam-5932	16	21	is	be	AUX
ejpam-5932	16	22	a	a	DET
ejpam-5932	16	23	smooth	smooth	ADJ
ejpam-5932	16	24	function	function	NOUN
ejpam-5932	16	25	with	with	ADP
ejpam-5932	16	26	an	an	DET
ejpam-5932	16	27	available	available	ADJ
ejpam-5932	16	28	gradient	gradient	NOUN
ejpam-5932	17	1	[	[	X
ejpam-5932	17	2	1	1	NUM
ejpam-5932	17	3	]	]	PUNCT
ejpam-5932	17	4	.	.	PUNCT
ejpam-5932	18	1	several	several	ADJ
ejpam-5932	18	2	numerical	numerical	ADJ
ejpam-5932	18	3	methods	method	NOUN
ejpam-5932	18	4	have	have	AUX
ejpam-5932	18	5	been	be	AUX
ejpam-5932	18	6	developed	develop	VERB
ejpam-5932	18	7	to	to	PART
ejpam-5932	18	8	solve	solve	VERB
ejpam-5932	18	9	such	such	ADJ
ejpam-5932	18	10	problems	problem	NOUN
ejpam-5932	18	11	,	,	PUNCT
ejpam-5932	18	12	including	include	VERB
ejpam-5932	18	13	the	the	DET
ejpam-5932	18	14	steepest	steep	ADJ
ejpam-5932	18	15	descent	descent	NOUN
ejpam-5932	18	16	(	(	PUNCT
ejpam-5932	18	17	sd	sd	NOUN
ejpam-5932	18	18	)	)	PUNCT
ejpam-5932	18	19	method	method	NOUN
ejpam-5932	18	20	,	,	PUNCT
ejpam-5932	18	21	newton	newton	PROPN
ejpam-5932	18	22	’s	’s	PART
ejpam-5932	18	23	method	method	NOUN
ejpam-5932	18	24	,	,	PUNCT
ejpam-5932	18	25	conjugate	conjugate	ADJ
ejpam-5932	18	26	gradient	gradient	NOUN
ejpam-5932	18	27	(	(	PUNCT
ejpam-5932	18	28	cg	cg	NOUN
ejpam-5932	18	29	)	)	PUNCT
ejpam-5932	18	30	methods	method	NOUN
ejpam-5932	18	31	,	,	PUNCT
ejpam-5932	18	32	and	and	CCONJ
ejpam-5932	18	33	quasi	quasi	NOUN
ejpam-5932	18	34	-	-	PROPN
ejpam-5932	18	35	newton	newton	PROPN
ejpam-5932	18	36	(	(	PUNCT
ejpam-5932	18	37	qn	qn	NOUN
ejpam-5932	18	38	)	)	PUNCT
ejpam-5932	18	39	methods	method	NOUN
ejpam-5932	18	40	.	.	PUNCT
ejpam-5932	19	1	this	this	DET
ejpam-5932	19	2	paper	paper	NOUN
ejpam-5932	19	3	focuses	focus	VERB
ejpam-5932	19	4	on	on	ADP
ejpam-5932	19	5	cg	cg	NOUN
ejpam-5932	19	6	methods	method	NOUN
ejpam-5932	19	7	due	due	ADP
ejpam-5932	19	8	to	to	ADP
ejpam-5932	19	9	their	their	PRON
ejpam-5932	19	10	efficiency	efficiency	NOUN
ejpam-5932	19	11	and	and	CCONJ
ejpam-5932	19	12	scalability	scalability	NOUN
ejpam-5932	19	13	,	,	PUNCT
ejpam-5932	19	14	particularly	particularly	ADV
ejpam-5932	19	15	for	for	ADP
ejpam-5932	19	16	large	large	ADJ
ejpam-5932	19	17	-	-	PUNCT
ejpam-5932	19	18	scale	scale	NOUN
ejpam-5932	19	19	optimization	optimization	NOUN
ejpam-5932	19	20	problems	problem	NOUN
ejpam-5932	19	21	.	.	PUNCT
ejpam-5932	20	1	cg	cg	NOUN
ejpam-5932	20	2	algorithms	algorithm	NOUN
ejpam-5932	20	3	are	be	AUX
ejpam-5932	20	4	widely	widely	ADV
ejpam-5932	20	5	applied	apply	VERB
ejpam-5932	20	6	in	in	ADP
ejpam-5932	20	7	various	various	ADJ
ejpam-5932	20	8	fields	field	NOUN
ejpam-5932	20	9	.	.	PUNCT
ejpam-5932	21	1	in	in	ADP
ejpam-5932	21	2	engineering	engineering	NOUN
ejpam-5932	21	3	,	,	PUNCT
ejpam-5932	21	4	they	they	PRON
ejpam-5932	21	5	are	be	AUX
ejpam-5932	21	6	used	use	VERB
ejpam-5932	21	7	for	for	ADP
ejpam-5932	21	8	solving	solve	VERB
ejpam-5932	21	9	problems	problem	NOUN
ejpam-5932	21	10	in	in	ADP
ejpam-5932	21	11	structural	structural	ADJ
ejpam-5932	21	12	design	design	NOUN
ejpam-5932	21	13	,	,	PUNCT
ejpam-5932	21	14	fluid	fluid	ADJ
ejpam-5932	21	15	dynamics	dynamic	NOUN
ejpam-5932	21	16	,	,	PUNCT
ejpam-5932	21	17	and	and	CCONJ
ejpam-5932	21	18	control	control	NOUN
ejpam-5932	21	19	systems	system	NOUN
ejpam-5932	21	20	[	[	X
ejpam-5932	21	21	2	2	NUM
ejpam-5932	21	22	]	]	PUNCT
ejpam-5932	21	23	.	.	PUNCT
ejpam-5932	22	1	in	in	ADP
ejpam-5932	22	2	data	data	NOUN
ejpam-5932	22	3	science	science	NOUN
ejpam-5932	22	4	and	and	CCONJ
ejpam-5932	22	5	machine	machine	NOUN
ejpam-5932	22	6	learning	learning	NOUN
ejpam-5932	22	7	,	,	PUNCT
ejpam-5932	22	8	cg	cg	NOUN
ejpam-5932	22	9	methods	method	NOUN
ejpam-5932	22	10	play	play	VERB
ejpam-5932	22	11	a	a	DET
ejpam-5932	22	12	crucial	crucial	ADJ
ejpam-5932	22	13	role	role	NOUN
ejpam-5932	22	14	in	in	ADP
ejpam-5932	22	15	optimizing	optimize	VERB
ejpam-5932	22	16	loss	loss	NOUN
ejpam-5932	22	17	functions	function	NOUN
ejpam-5932	22	18	for	for	ADP
ejpam-5932	22	19	regression	regression	NOUN
ejpam-5932	22	20	,	,	PUNCT
ejpam-5932	22	21	classification	classification	NOUN
ejpam-5932	22	22	,	,	PUNCT
ejpam-5932	22	23	and	and	CCONJ
ejpam-5932	22	24	neural	neural	ADJ
ejpam-5932	22	25	network	network	NOUN
ejpam-5932	22	26	training	training	NOUN
ejpam-5932	22	27	[	[	X
ejpam-5932	22	28	3–8	3–8	NUM
ejpam-5932	22	29	]	]	X
ejpam-5932	22	30	.	.	PUNCT
ejpam-5932	23	1	additionally	additionally	ADV
ejpam-5932	23	2	,	,	PUNCT
ejpam-5932	23	3	in	in	ADP
ejpam-5932	23	4	signal	signal	NOUN
ejpam-5932	23	5	and	and	CCONJ
ejpam-5932	23	6	image	image	NOUN
ejpam-5932	23	7	processing	processing	NOUN
ejpam-5932	23	8	,	,	PUNCT
ejpam-5932	23	9	cg	cg	NOUN
ejpam-5932	23	10	methods	method	NOUN
ejpam-5932	23	11	are	be	AUX
ejpam-5932	23	12	used	use	VERB
ejpam-5932	23	13	for	for	ADP
ejpam-5932	23	14	tasks	task	NOUN
ejpam-5932	23	15	such	such	ADJ
ejpam-5932	23	16	as	as	ADP
ejpam-5932	23	17	image	image	NOUN
ejpam-5932	23	18	reconstruction	reconstruction	NOUN
ejpam-5932	23	19	,	,	PUNCT
ejpam-5932	23	20	denoising	denoising	NOUN
ejpam-5932	23	21	,	,	PUNCT
ejpam-5932	23	22	and	and	CCONJ
ejpam-5932	23	23	signal	signal	ADJ
ejpam-5932	23	24	recovery	recovery	NOUN
ejpam-5932	24	1	[	[	X
ejpam-5932	24	2	9	9	NUM
ejpam-5932	24	3	]	]	PUNCT
ejpam-5932	24	4	.	.	PUNCT
ejpam-5932	25	1	scientific	scientific	ADJ
ejpam-5932	25	2	computing	computing	NOUN
ejpam-5932	25	3	also	also	ADV
ejpam-5932	25	4	heavily	heavily	ADV
ejpam-5932	25	5	relies	rely	VERB
ejpam-5932	25	6	on	on	ADP
ejpam-5932	25	7	cg	cg	NOUN
ejpam-5932	25	8	algorithms	algorithm	NOUN
ejpam-5932	25	9	,	,	PUNCT
ejpam-5932	25	10	particularly	particularly	ADV
ejpam-5932	25	11	for	for	ADP
ejpam-5932	25	12	solving	solve	VERB
ejpam-5932	25	13	large	large	ADJ
ejpam-5932	25	14	sparse	sparse	ADJ
ejpam-5932	25	15	linear	linear	ADJ
ejpam-5932	25	16	systems	system	NOUN
ejpam-5932	25	17	in	in	ADP
ejpam-5932	25	18	finite	finite	ADJ
ejpam-5932	25	19	element	element	NOUN
ejpam-5932	25	20	analysis	analysis	NOUN
ejpam-5932	25	21	and	and	CCONJ
ejpam-5932	25	22	computational	computational	ADJ
ejpam-5932	25	23	physics	physics	NOUN
ejpam-5932	25	24	.	.	PUNCT
ejpam-5932	26	1	a	a	DET
ejpam-5932	26	2	key	key	ADJ
ejpam-5932	26	3	advantage	advantage	NOUN
ejpam-5932	26	4	of	of	ADP
ejpam-5932	26	5	cg	cg	NOUN
ejpam-5932	26	6	methods	method	NOUN
ejpam-5932	26	7	is	be	AUX
ejpam-5932	26	8	their	their	PRON
ejpam-5932	26	9	low	low	ADJ
ejpam-5932	26	10	memory	memory	NOUN
ejpam-5932	26	11	requirement	requirement	NOUN
ejpam-5932	26	12	[	[	X
ejpam-5932	26	13	10	10	NUM
ejpam-5932	26	14	]	]	PUNCT
ejpam-5932	26	15	,	,	PUNCT
ejpam-5932	26	16	which	which	PRON
ejpam-5932	26	17	makes	make	VERB
ejpam-5932	26	18	them	they	PRON
ejpam-5932	26	19	suitable	suitable	ADJ
ejpam-5932	26	20	for	for	ADP
ejpam-5932	26	21	high	high	ADJ
ejpam-5932	26	22	-	-	PUNCT
ejpam-5932	26	23	dimensional	dimensional	ADJ
ejpam-5932	26	24	problems	problem	NOUN
ejpam-5932	26	25	.	.	PUNCT
ejpam-5932	27	1	furthermore	furthermore	ADV
ejpam-5932	27	2	,	,	PUNCT
ejpam-5932	27	3	they	they	PRON
ejpam-5932	27	4	exhibit	exhibit	VERB
ejpam-5932	27	5	rapid	rapid	ADJ
ejpam-5932	27	6	convergence	convergence	NOUN
ejpam-5932	27	7	for	for	ADP
ejpam-5932	27	8	specific	specific	ADJ
ejpam-5932	27	9	classes	class	NOUN
ejpam-5932	27	10	of	of	ADP
ejpam-5932	27	11	functions	function	NOUN
ejpam-5932	27	12	.	.	PUNCT
ejpam-5932	28	1	the	the	DET
ejpam-5932	28	2	foundation	foundation	NOUN
ejpam-5932	28	3	of	of	ADP
ejpam-5932	28	4	cg	cg	NOUN
ejpam-5932	28	5	methods	method	NOUN
ejpam-5932	28	6	was	be	AUX
ejpam-5932	28	7	laid	lay	VERB
ejpam-5932	28	8	in	in	ADP
ejpam-5932	28	9	1952	1952	NUM
ejpam-5932	28	10	by	by	ADP
ejpam-5932	28	11	hestenes	hestene	NOUN
ejpam-5932	28	12	and	and	CCONJ
ejpam-5932	28	13	stiefel	stiefel	NOUN
ejpam-5932	29	1	[	[	X
ejpam-5932	29	2	11	11	NUM
ejpam-5932	29	3	]	]	PUNCT
ejpam-5932	29	4	,	,	PUNCT
ejpam-5932	29	5	who	who	PRON
ejpam-5932	29	6	introduced	introduce	VERB
ejpam-5932	29	7	the	the	DET
ejpam-5932	29	8	cg	cg	NOUN
ejpam-5932	29	9	method	method	NOUN
ejpam-5932	29	10	for	for	ADP
ejpam-5932	29	11	unconstrained	unconstrained	ADJ
ejpam-5932	29	12	linear	linear	PROPN
ejpam-5932	29	13	optimization	optimization	NOUN
ejpam-5932	29	14	.	.	PUNCT
ejpam-5932	30	1	later	later	ADV
ejpam-5932	30	2	,	,	PUNCT
ejpam-5932	30	3	in	in	ADP
ejpam-5932	30	4	1964	1964	NUM
ejpam-5932	30	5	,	,	PUNCT
ejpam-5932	30	6	fletcher	fletcher	PROPN
ejpam-5932	30	7	and	and	CCONJ
ejpam-5932	30	8	reeves	reeves	PROPN
ejpam-5932	30	9	extended	extend	VERB
ejpam-5932	30	10	the	the	DET
ejpam-5932	30	11	cg	cg	NOUN
ejpam-5932	30	12	method	method	NOUN
ejpam-5932	30	13	to	to	PART
ejpam-5932	30	14	solve	solve	VERB
ejpam-5932	30	15	nonlinear	nonlinear	ADJ
ejpam-5932	30	16	unconstrained	unconstrained	ADJ
ejpam-5932	30	17	minimization	minimization	NOUN
ejpam-5932	30	18	problems	problem	NOUN
ejpam-5932	30	19	[	[	X
ejpam-5932	30	20	12	12	NUM
ejpam-5932	30	21	]	]	PUNCT
ejpam-5932	30	22	.	.	PUNCT
ejpam-5932	31	1	in	in	ADP
ejpam-5932	31	2	this	this	DET
ejpam-5932	31	3	paper	paper	NOUN
ejpam-5932	31	4	,	,	PUNCT
ejpam-5932	31	5	we	we	PRON
ejpam-5932	31	6	propose	propose	VERB
ejpam-5932	31	7	a	a	DET
ejpam-5932	31	8	new	new	ADJ
ejpam-5932	31	9	conjugate	conjugate	ADJ
ejpam-5932	31	10	gradient	gradient	NOUN
ejpam-5932	31	11	method	method	NOUN
ejpam-5932	31	12	that	that	PRON
ejpam-5932	31	13	enhances	enhance	VERB
ejpam-5932	31	14	computational	computational	ADJ
ejpam-5932	31	15	efficiency	efficiency	NOUN
ejpam-5932	31	16	while	while	SCONJ
ejpam-5932	31	17	ensuring	ensure	VERB
ejpam-5932	31	18	the	the	DET
ejpam-5932	31	19	satisfaction	satisfaction	NOUN
ejpam-5932	31	20	of	of	ADP
ejpam-5932	31	21	the	the	DET
ejpam-5932	31	22	descent	descent	NOUN
ejpam-5932	31	23	condition	condition	NOUN
ejpam-5932	31	24	,	,	PUNCT
ejpam-5932	31	25	and	and	CCONJ
ejpam-5932	31	26	convergence	convergence	NOUN
ejpam-5932	31	27	properties	property	NOUN
ejpam-5932	31	28	.	.	PUNCT
ejpam-5932	32	1	our	our	PRON
ejpam-5932	32	2	approach	approach	NOUN
ejpam-5932	32	3	introduces	introduce	VERB
ejpam-5932	32	4	a	a	DET
ejpam-5932	32	5	novel	novel	ADJ
ejpam-5932	32	6	cg	cg	NOUN
ejpam-5932	32	7	parameter	parameter	NOUN
ejpam-5932	32	8	that	that	PRON
ejpam-5932	32	9	optimizes	optimize	VERB
ejpam-5932	32	10	search	search	NOUN
ejpam-5932	32	11	directions	direction	NOUN
ejpam-5932	32	12	and	and	CCONJ
ejpam-5932	32	13	improves	improve	VERB
ejpam-5932	32	14	convergence	convergence	NOUN
ejpam-5932	32	15	rates	rate	NOUN
ejpam-5932	32	16	,	,	PUNCT
ejpam-5932	32	17	making	make	VERB
ejpam-5932	32	18	it	it	PRON
ejpam-5932	32	19	more	more	ADV
ejpam-5932	32	20	effective	effective	ADJ
ejpam-5932	32	21	in	in	ADP
ejpam-5932	32	22	solving	solve	VERB
ejpam-5932	32	23	large	large	ADJ
ejpam-5932	32	24	-	-	PUNCT
ejpam-5932	32	25	scale	scale	NOUN
ejpam-5932	32	26	optimization	optimization	NOUN
ejpam-5932	32	27	problems	problem	NOUN
ejpam-5932	32	28	.	.	PUNCT
ejpam-5932	33	1	cg	cg	NOUN
ejpam-5932	33	2	methods	method	NOUN
ejpam-5932	33	3	generate	generate	VERB
ejpam-5932	33	4	a	a	DET
ejpam-5932	33	5	sequence	sequence	NOUN
ejpam-5932	33	6	{	{	PUNCT
ejpam-5932	33	7	xk	xk	NOUN
ejpam-5932	33	8	}	}	PUNCT
ejpam-5932	33	9	defined	define	VERB
ejpam-5932	33	10	as	as	ADP
ejpam-5932	33	11	:	:	PUNCT
ejpam-5932	33	12	xk+1	xk+1	PROPN
ejpam-5932	33	13	=	=	SYM
ejpam-5932	33	14	xk	xk	PROPN
ejpam-5932	33	15	+	+	CCONJ
ejpam-5932	33	16	αkdk	αkdk	NOUN
ejpam-5932	33	17	,	,	PUNCT
ejpam-5932	33	18	(	(	PUNCT
ejpam-5932	33	19	2	2	X
ejpam-5932	33	20	)	)	PUNCT
ejpam-5932	33	21	where	where	SCONJ
ejpam-5932	33	22	x0	x0	PROPN
ejpam-5932	33	23	is	be	AUX
ejpam-5932	33	24	a	a	DET
ejpam-5932	33	25	randomly	randomly	ADV
ejpam-5932	33	26	chosen	choose	VERB
ejpam-5932	33	27	initial	initial	ADJ
ejpam-5932	33	28	starting	starting	NOUN
ejpam-5932	33	29	point	point	NOUN
ejpam-5932	33	30	.	.	PUNCT
ejpam-5932	34	1	the	the	DET
ejpam-5932	34	2	step	step	NOUN
ejpam-5932	34	3	size	size	NOUN
ejpam-5932	34	4	αk	αk	NOUN
ejpam-5932	34	5	is	be	AUX
ejpam-5932	34	6	determined	determine	VERB
ejpam-5932	34	7	using	use	VERB
ejpam-5932	34	8	a	a	DET
ejpam-5932	34	9	one	one	NUM
ejpam-5932	34	10	-	-	PUNCT
ejpam-5932	34	11	dimensional	dimensional	ADJ
ejpam-5932	34	12	search	search	NOUN
ejpam-5932	34	13	known	know	VERB
ejpam-5932	34	14	as	as	ADP
ejpam-5932	34	15	a	a	DET
ejpam-5932	34	16	line	line	NOUN
ejpam-5932	34	17	search	search	NOUN
ejpam-5932	35	1	[	[	X
ejpam-5932	35	2	13	13	NUM
ejpam-5932	35	3	]	]	PUNCT
ejpam-5932	35	4	.	.	PUNCT
ejpam-5932	36	1	line	line	NOUN
ejpam-5932	36	2	searches	search	NOUN
ejpam-5932	36	3	can	can	AUX
ejpam-5932	36	4	be	be	AUX
ejpam-5932	36	5	exact	exact	ADJ
ejpam-5932	36	6	or	or	CCONJ
ejpam-5932	36	7	inexact	inexact	ADJ
ejpam-5932	36	8	,	,	PUNCT
ejpam-5932	36	9	with	with	ADP
ejpam-5932	36	10	the	the	DET
ejpam-5932	36	11	latter	latter	ADJ
ejpam-5932	36	12	being	be	AUX
ejpam-5932	36	13	preferred	prefer	VERB
ejpam-5932	36	14	due	due	ADJ
ejpam-5932	36	15	to	to	ADP
ejpam-5932	36	16	computational	computational	ADJ
ejpam-5932	36	17	efficiency	efficiency	NOUN
ejpam-5932	36	18	[	[	X
ejpam-5932	36	19	14	14	NUM
ejpam-5932	36	20	,	,	PUNCT
ejpam-5932	36	21	15	15	NUM
ejpam-5932	36	22	]	]	PUNCT
ejpam-5932	36	23	.	.	PUNCT
ejpam-5932	37	1	in	in	ADP
ejpam-5932	37	2	our	our	PRON
ejpam-5932	37	3	research	research	NOUN
ejpam-5932	37	4	,	,	PUNCT
ejpam-5932	37	5	we	we	PRON
ejpam-5932	37	6	employ	employ	VERB
ejpam-5932	37	7	the	the	DET
ejpam-5932	37	8	strong	strong	ADJ
ejpam-5932	37	9	wolfe	wolfe	PROPN
ejpam-5932	37	10	line	line	NOUN
ejpam-5932	37	11	search	search	NOUN
ejpam-5932	37	12	,	,	PUNCT
ejpam-5932	37	13	which	which	PRON
ejpam-5932	37	14	satisfies	satisfy	VERB
ejpam-5932	37	15	the	the	DET
ejpam-5932	37	16	following	follow	VERB
ejpam-5932	37	17	conditions	condition	NOUN
ejpam-5932	37	18	[	[	X
ejpam-5932	37	19	16	16	NUM
ejpam-5932	37	20	,	,	PUNCT
ejpam-5932	37	21	17	17	NUM
ejpam-5932	37	22	]	]	PUNCT
ejpam-5932	37	23	:	:	PUNCT
ejpam-5932	37	24	f(xk	f(xk	PROPN
ejpam-5932	37	25	+	+	NUM
ejpam-5932	37	26	αkdk	αkdk	NOUN
ejpam-5932	37	27	)	)	PUNCT
ejpam-5932	37	28	≤	≤	NUM
ejpam-5932	37	29	f(xk	f(xk	PROPN
ejpam-5932	37	30	)	)	PUNCT
ejpam-5932	37	31	+	+	CCONJ
ejpam-5932	37	32	δαkg	δαkg	NOUN
ejpam-5932	37	33	t	t	PROPN
ejpam-5932	37	34	k	k	PROPN
ejpam-5932	37	35	dk	dk	PROPN
ejpam-5932	37	36	,	,	PUNCT
ejpam-5932	37	37	(	(	PUNCT
ejpam-5932	37	38	3	3	X
ejpam-5932	37	39	)	)	PUNCT
ejpam-5932	37	40	g(xk	g(xk	PROPN
ejpam-5932	37	41	+	+	CCONJ
ejpam-5932	37	42	αkdk	αkdk	NOUN
ejpam-5932	37	43	)	)	PUNCT
ejpam-5932	37	44	tdk	tdk	NOUN
ejpam-5932	37	45	≥	≥	NUM
ejpam-5932	37	46	µgtk	µgtk	NOUN
ejpam-5932	37	47	dk	dk	PROPN
ejpam-5932	37	48	,	,	PUNCT
ejpam-5932	37	49	(	(	PUNCT
ejpam-5932	37	50	4	4	X
ejpam-5932	37	51	)	)	PUNCT
ejpam-5932	37	52	where	where	SCONJ
ejpam-5932	37	53	0	0	NUM
ejpam-5932	37	54	<	<	X
ejpam-5932	37	55	δ	δ	X
ejpam-5932	37	56	<	<	X
ejpam-5932	37	57	µ	µ	X
ejpam-5932	37	58	<	<	X
ejpam-5932	37	59	1	1	NUM
ejpam-5932	37	60	.	.	PUNCT
ejpam-5932	38	1	the	the	DET
ejpam-5932	38	2	strong	strong	ADJ
ejpam-5932	38	3	wolfe	wolfe	PROPN
ejpam-5932	38	4	-	-	PUNCT
ejpam-5932	38	5	powell	powell	PROPN
ejpam-5932	38	6	(	(	PUNCT
ejpam-5932	38	7	swp	swp	PROPN
ejpam-5932	38	8	)	)	PUNCT
ejpam-5932	38	9	condition	condition	NOUN
ejpam-5932	38	10	further	far	ADV
ejpam-5932	38	11	includes	include	VERB
ejpam-5932	38	12	:	:	PUNCT
ejpam-5932	38	13	|g(xk	|g(xk	PROPN
ejpam-5932	38	14	+	+	SYM
ejpam-5932	38	15	αkdk	αkdk	NOUN
ejpam-5932	38	16	)	)	PUNCT
ejpam-5932	38	17	tdk|	tdk|	VERB
ejpam-5932	38	18	≤	≤	NUM
ejpam-5932	38	19	µ|gtk	µ|gtk	NOUN
ejpam-5932	38	20	dk|	dk|	NOUN
ejpam-5932	38	21	.	.	PUNCT
ejpam-5932	39	1	(	(	PUNCT
ejpam-5932	39	2	5	5	X
ejpam-5932	39	3	)	)	PUNCT
ejpam-5932	39	4	the	the	DET
ejpam-5932	39	5	search	search	NOUN
ejpam-5932	39	6	direction	direction	NOUN
ejpam-5932	39	7	dk	dk	PROPN
ejpam-5932	39	8	is	be	AUX
ejpam-5932	39	9	determined	determine	VERB
ejpam-5932	39	10	as	as	ADP
ejpam-5932	39	11	:	:	PUNCT
ejpam-5932	39	12	dk+1	dk+1	X
ejpam-5932	39	13	=	=	SYM
ejpam-5932	39	14	{	{	PUNCT
ejpam-5932	39	15	−g1	−g1	VERB
ejpam-5932	39	16	,	,	PUNCT
ejpam-5932	39	17	k	k	PROPN
ejpam-5932	39	18	=	=	SYM
ejpam-5932	39	19	0	0	NUM
ejpam-5932	39	20	,	,	PUNCT
ejpam-5932	39	21	−gk+1	−gk+1	PROPN
ejpam-5932	39	22	+	+	CCONJ
ejpam-5932	39	23	βkdk	βkdk	NOUN
ejpam-5932	39	24	,	,	PUNCT
ejpam-5932	39	25	k	k	PROPN
ejpam-5932	39	26	≥	≥	NUM
ejpam-5932	39	27	1	1	NUM
ejpam-5932	39	28	.	.	PUNCT
ejpam-5932	40	1	(	(	PUNCT
ejpam-5932	40	2	6	6	NUM
ejpam-5932	40	3	)	)	PUNCT
ejpam-5932	40	4	a.	a.	NOUN
ejpam-5932	40	5	l.	l.	PROPN
ejpam-5932	40	6	ibrahim	ibrahim	PROPN
ejpam-5932	40	7	et	et	PROPN
ejpam-5932	40	8	al	al	PROPN
ejpam-5932	40	9	.	.	PUNCT
ejpam-5932	40	10	/	/	SYM
ejpam-5932	40	11	eur	eur	PROPN
ejpam-5932	40	12	.	.	PUNCT
ejpam-5932	41	1	j.	j.	PROPN
ejpam-5932	41	2	pure	pure	PROPN
ejpam-5932	41	3	appl	appl	PROPN
ejpam-5932	41	4	.	.	PROPN
ejpam-5932	41	5	math	math	PROPN
ejpam-5932	41	6	,	,	PUNCT
ejpam-5932	41	7	18	18	NUM
ejpam-5932	41	8	(	(	PUNCT
ejpam-5932	41	9	2	2	NUM
ejpam-5932	41	10	)	)	PUNCT
ejpam-5932	41	11	(	(	PUNCT
ejpam-5932	41	12	2025	2025	NUM
ejpam-5932	41	13	)	)	PUNCT
ejpam-5932	41	14	,	,	PUNCT
ejpam-5932	41	15	5932	5932	NUM
ejpam-5932	41	16	3	3	NUM
ejpam-5932	41	17	of	of	ADP
ejpam-5932	41	18	15	15	NUM
ejpam-5932	41	19	where	where	SCONJ
ejpam-5932	41	20	gk	gk	NOUN
ejpam-5932	41	21	=	=	SYM
ejpam-5932	41	22	∇f(xk	∇f(xk	NOUN
ejpam-5932	41	23	)	)	PUNCT
ejpam-5932	41	24	and	and	CCONJ
ejpam-5932	41	25	βk	βk	NOUN
ejpam-5932	41	26	is	be	AUX
ejpam-5932	41	27	a	a	DET
ejpam-5932	41	28	cg	cg	NOUN
ejpam-5932	41	29	parameter	parameter	NOUN
ejpam-5932	41	30	that	that	PRON
ejpam-5932	41	31	varies	vary	VERB
ejpam-5932	41	32	depending	depend	VERB
ejpam-5932	41	33	on	on	ADP
ejpam-5932	41	34	the	the	DET
ejpam-5932	41	35	cg	cg	NOUN
ejpam-5932	41	36	method	method	NOUN
ejpam-5932	41	37	used	use	VERB
ejpam-5932	41	38	.	.	PUNCT
ejpam-5932	42	1	the	the	DET
ejpam-5932	42	2	search	search	NOUN
ejpam-5932	42	3	direction	direction	NOUN
ejpam-5932	42	4	must	must	AUX
ejpam-5932	42	5	satisfy	satisfy	VERB
ejpam-5932	42	6	the	the	DET
ejpam-5932	42	7	descent	descent	NOUN
ejpam-5932	42	8	condition	condition	NOUN
ejpam-5932	42	9	:	:	PUNCT
ejpam-5932	42	10	gtk+1dk+1	gtk+1dk+1	VERB
ejpam-5932	42	11	≤	≤	NUM
ejpam-5932	42	12	0	0	NUM
ejpam-5932	42	13	.	.	PUNCT
ejpam-5932	43	1	(	(	PUNCT
ejpam-5932	43	2	7	7	X
ejpam-5932	43	3	)	)	PUNCT
ejpam-5932	43	4	various	various	ADJ
ejpam-5932	43	5	cg	cg	NOUN
ejpam-5932	43	6	methods	method	NOUN
ejpam-5932	43	7	arise	arise	VERB
ejpam-5932	43	8	from	from	ADP
ejpam-5932	43	9	different	different	ADJ
ejpam-5932	43	10	choices	choice	NOUN
ejpam-5932	43	11	of	of	ADP
ejpam-5932	43	12	βk	βk	NOUN
ejpam-5932	43	13	,	,	PUNCT
ejpam-5932	43	14	including	include	VERB
ejpam-5932	43	15	hestenes	hestene	NOUN
ejpam-5932	43	16	-	-	PUNCT
ejpam-5932	43	17	stiefel	stiefel	NOUN
ejpam-5932	43	18	(	(	PUNCT
ejpam-5932	43	19	hs	hs	X
ejpam-5932	43	20	)	)	PUNCT
ejpam-5932	44	1	[	[	X
ejpam-5932	44	2	11	11	NUM
ejpam-5932	44	3	]	]	PUNCT
ejpam-5932	44	4	,	,	PUNCT
ejpam-5932	44	5	fletcher	fletcher	PROPN
ejpam-5932	44	6	-	-	PUNCT
ejpam-5932	44	7	reeves	reeves	PROPN
ejpam-5932	44	8	(	(	PUNCT
ejpam-5932	44	9	fr	fr	PROPN
ejpam-5932	44	10	)	)	PUNCT
ejpam-5932	45	1	[	[	X
ejpam-5932	45	2	12	12	NUM
ejpam-5932	45	3	]	]	PUNCT
ejpam-5932	45	4	,	,	PUNCT
ejpam-5932	45	5	polak	polak	PROPN
ejpam-5932	45	6	-	-	PUNCT
ejpam-5932	45	7	ribière	ribière	PROPN
ejpam-5932	45	8	-	-	PUNCT
ejpam-5932	45	9	polyak	polyak	NOUN
ejpam-5932	45	10	(	(	PUNCT
ejpam-5932	45	11	prp	prp	PROPN
ejpam-5932	45	12	)	)	PUNCT
ejpam-5932	46	1	[	[	X
ejpam-5932	46	2	18	18	NUM
ejpam-5932	46	3	,	,	PUNCT
ejpam-5932	46	4	19	19	NUM
ejpam-5932	46	5	]	]	PUNCT
ejpam-5932	46	6	,	,	PUNCT
ejpam-5932	46	7	liu	liu	PROPN
ejpam-5932	46	8	-	-	PUNCT
ejpam-5932	46	9	storey	storey	PROPN
ejpam-5932	46	10	(	(	PUNCT
ejpam-5932	46	11	ls	ls	PROPN
ejpam-5932	46	12	)	)	PUNCT
ejpam-5932	47	1	[	[	X
ejpam-5932	47	2	20	20	NUM
ejpam-5932	47	3	]	]	PUNCT
ejpam-5932	47	4	,	,	PUNCT
ejpam-5932	47	5	dai	dai	PROPN
ejpam-5932	47	6	-	-	PUNCT
ejpam-5932	47	7	yuan	yuan	PROPN
ejpam-5932	47	8	(	(	PUNCT
ejpam-5932	47	9	dy	dy	X
ejpam-5932	47	10	)	)	PUNCT
ejpam-5932	48	1	[	[	X
ejpam-5932	48	2	21	21	NUM
ejpam-5932	48	3	]	]	PUNCT
ejpam-5932	48	4	,	,	PUNCT
ejpam-5932	48	5	and	and	CCONJ
ejpam-5932	48	6	conjugate	conjugate	ADJ
ejpam-5932	48	7	-	-	PUNCT
ejpam-5932	48	8	descent	descent	NOUN
ejpam-5932	48	9	(	(	PUNCT
ejpam-5932	48	10	cd	cd	PROPN
ejpam-5932	48	11	)	)	PUNCT
ejpam-5932	49	1	[	[	X
ejpam-5932	49	2	22	22	NUM
ejpam-5932	49	3	]	]	PUNCT
ejpam-5932	49	4	:	:	PUNCT
ejpam-5932	49	5	βhs	βhs	NOUN
ejpam-5932	49	6	k	k	PROPN
ejpam-5932	49	7	=	=	PUNCT
ejpam-5932	50	1	gtk+1yk	gtk+1yk	NOUN
ejpam-5932	50	2	ytk	ytk	NOUN
ejpam-5932	50	3	dk	dk	PROPN
ejpam-5932	50	4	,	,	PUNCT
ejpam-5932	50	5	(	(	PUNCT
ejpam-5932	50	6	8)	8)	NUM
ejpam-5932	50	7	βfr	βfr	NOUN
ejpam-5932	50	8	k	k	NOUN
ejpam-5932	50	9	=	=	PUNCT
ejpam-5932	50	10	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-5932	50	11	∥gk∥2	∥gk∥2	PROPN
ejpam-5932	50	12	,	,	PUNCT
ejpam-5932	50	13	(	(	PUNCT
ejpam-5932	50	14	9	9	X
ejpam-5932	50	15	)	)	PUNCT
ejpam-5932	50	16	βprp	βprp	NOUN
ejpam-5932	50	17	k	k	NOUN
ejpam-5932	50	18	=	=	PUNCT
ejpam-5932	50	19	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	50	20	∥gk∥2	∥gk∥2	PROPN
ejpam-5932	50	21	,	,	PUNCT
ejpam-5932	50	22	(	(	PUNCT
ejpam-5932	50	23	10	10	NUM
ejpam-5932	50	24	)	)	PUNCT
ejpam-5932	50	25	βls	βls	NOUN
ejpam-5932	50	26	k	k	NOUN
ejpam-5932	51	1	=	=	PUNCT
ejpam-5932	51	2	gtk+1yk	gtk+1yk	NOUN
ejpam-5932	51	3	−gtk	−gtk	NOUN
ejpam-5932	51	4	dk	dk	X
ejpam-5932	51	5	,	,	PUNCT
ejpam-5932	51	6	(	(	PUNCT
ejpam-5932	51	7	11	11	NUM
ejpam-5932	51	8	)	)	PUNCT
ejpam-5932	51	9	βdy	βdy	NOUN
ejpam-5932	51	10	k	k	NOUN
ejpam-5932	52	1	=	=	PUNCT
ejpam-5932	52	2	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-5932	52	3	ytk	ytk	NOUN
ejpam-5932	52	4	dk	dk	PROPN
ejpam-5932	52	5	,	,	PUNCT
ejpam-5932	52	6	(	(	PUNCT
ejpam-5932	52	7	12	12	NUM
ejpam-5932	52	8	)	)	PUNCT
ejpam-5932	52	9	βcd	βcd	NOUN
ejpam-5932	52	10	k	k	NOUN
ejpam-5932	52	11	=	=	SYM
ejpam-5932	52	12	∥gk+1∥2	∥gk+1∥2	X
ejpam-5932	52	13	−gtk	−gtk	X
ejpam-5932	52	14	dk	dk	X
ejpam-5932	52	15	,	,	PUNCT
ejpam-5932	52	16	(	(	PUNCT
ejpam-5932	52	17	13	13	NUM
ejpam-5932	52	18	)	)	PUNCT
ejpam-5932	52	19	where	where	SCONJ
ejpam-5932	52	20	yk	yk	NOUN
ejpam-5932	52	21	=	=	PROPN
ejpam-5932	52	22	gk+1	gk+1	NOUN
ejpam-5932	52	23	−	−	PROPN
ejpam-5932	52	24	gk	gk	PROPN
ejpam-5932	52	25	and	and	CCONJ
ejpam-5932	52	26	∥	∥	PRON
ejpam-5932	52	27	·	·	PUNCT
ejpam-5932	53	1	∥	∥	PUNCT
ejpam-5932	53	2	denotes	denote	VERB
ejpam-5932	53	3	the	the	DET
ejpam-5932	53	4	euclidean	euclidean	ADJ
ejpam-5932	53	5	norm	norm	NOUN
ejpam-5932	53	6	in	in	ADP
ejpam-5932	53	7	rn	rn	PROPN
ejpam-5932	53	8	.	.	PROPN
ejpam-5932	54	1	in	in	ADP
ejpam-5932	54	2	general	general	ADJ
ejpam-5932	54	3	,	,	PUNCT
ejpam-5932	54	4	the	the	DET
ejpam-5932	54	5	dy	dy	NOUN
ejpam-5932	54	6	and	and	CCONJ
ejpam-5932	54	7	fr	fr	ADJ
ejpam-5932	54	8	methods	method	NOUN
ejpam-5932	54	9	with	with	ADP
ejpam-5932	54	10	inexact	inexact	ADJ
ejpam-5932	54	11	line	line	NOUN
ejpam-5932	54	12	searches	search	NOUN
ejpam-5932	54	13	demonstrate	demonstrate	VERB
ejpam-5932	54	14	good	good	ADJ
ejpam-5932	54	15	convergence	convergence	NOUN
ejpam-5932	54	16	performance	performance	NOUN
ejpam-5932	54	17	,	,	PUNCT
ejpam-5932	54	18	though	though	SCONJ
ejpam-5932	54	19	their	their	PRON
ejpam-5932	54	20	computational	computational	ADJ
ejpam-5932	54	21	efficiency	efficiency	NOUN
ejpam-5932	54	22	is	be	AUX
ejpam-5932	54	23	inferior	inferior	ADJ
ejpam-5932	54	24	to	to	ADP
ejpam-5932	54	25	the	the	DET
ejpam-5932	54	26	prp	prp	PROPN
ejpam-5932	54	27	method	method	NOUN
ejpam-5932	54	28	.	.	PUNCT
ejpam-5932	55	1	in	in	ADP
ejpam-5932	55	2	recent	recent	ADJ
ejpam-5932	55	3	years	year	NOUN
ejpam-5932	55	4	,	,	PUNCT
ejpam-5932	55	5	many	many	ADJ
ejpam-5932	55	6	scholars	scholar	NOUN
ejpam-5932	55	7	have	have	AUX
ejpam-5932	55	8	proposed	propose	VERB
ejpam-5932	55	9	improved	improved	ADJ
ejpam-5932	55	10	cg	cg	NOUN
ejpam-5932	55	11	methods	method	NOUN
ejpam-5932	55	12	to	to	PART
ejpam-5932	55	13	balance	balance	VERB
ejpam-5932	55	14	numerical	numerical	ADJ
ejpam-5932	55	15	performance	performance	NOUN
ejpam-5932	55	16	and	and	CCONJ
ejpam-5932	55	17	convergence	convergence	NOUN
ejpam-5932	55	18	properties	property	NOUN
ejpam-5932	56	1	[	[	X
ejpam-5932	56	2	23].for	23].for	ADP
ejpam-5932	56	3	more	more	ADJ
ejpam-5932	56	4	details	detail	NOUN
ejpam-5932	56	5	on	on	ADP
ejpam-5932	56	6	the	the	DET
ejpam-5932	56	7	various	various	ADJ
ejpam-5932	56	8	developments	development	NOUN
ejpam-5932	56	9	in	in	ADP
ejpam-5932	56	10	cg	cg	NOUN
ejpam-5932	56	11	methods	method	NOUN
ejpam-5932	56	12	,	,	PUNCT
ejpam-5932	56	13	see	see	VERB
ejpam-5932	56	14	[	[	X
ejpam-5932	56	15	24–27	24–27	NUM
ejpam-5932	56	16	]	]	X
ejpam-5932	56	17	.	.	PUNCT
ejpam-5932	57	1	this	this	DET
ejpam-5932	57	2	paper	paper	NOUN
ejpam-5932	57	3	is	be	AUX
ejpam-5932	57	4	structured	structure	VERB
ejpam-5932	57	5	as	as	SCONJ
ejpam-5932	57	6	follows	follow	VERB
ejpam-5932	57	7	:	:	PUNCT
ejpam-5932	57	8	section	section	NOUN
ejpam-5932	57	9	2	2	NUM
ejpam-5932	57	10	presents	present	VERB
ejpam-5932	57	11	the	the	DET
ejpam-5932	57	12	new	new	ADJ
ejpam-5932	57	13	conjugate	conjugate	ADJ
ejpam-5932	57	14	gradient	gradient	ADJ
ejpam-5932	57	15	algorithm	algorithm	NOUN
ejpam-5932	57	16	along	along	ADP
ejpam-5932	57	17	with	with	ADP
ejpam-5932	57	18	its	its	PRON
ejpam-5932	57	19	details	detail	NOUN
ejpam-5932	57	20	.	.	PUNCT
ejpam-5932	58	1	section	section	NOUN
ejpam-5932	58	2	3	3	NUM
ejpam-5932	58	3	establishes	establish	VERB
ejpam-5932	58	4	the	the	DET
ejpam-5932	58	5	descent	descent	NOUN
ejpam-5932	58	6	condition	condition	NOUN
ejpam-5932	58	7	.	.	PUNCT
ejpam-5932	59	1	section	section	NOUN
ejpam-5932	59	2	4	4	NUM
ejpam-5932	59	3	analyzes	analyze	VERB
ejpam-5932	59	4	the	the	DET
ejpam-5932	59	5	convergence	convergence	NOUN
ejpam-5932	59	6	properties	property	NOUN
ejpam-5932	59	7	of	of	ADP
ejpam-5932	59	8	the	the	DET
ejpam-5932	59	9	proposed	propose	VERB
ejpam-5932	59	10	method	method	NOUN
ejpam-5932	59	11	.	.	PUNCT
ejpam-5932	60	1	section	section	NOUN
ejpam-5932	60	2	5	5	NUM
ejpam-5932	60	3	demonstrates	demonstrate	VERB
ejpam-5932	60	4	its	its	PRON
ejpam-5932	60	5	efficiency	efficiency	NOUN
ejpam-5932	60	6	through	through	ADP
ejpam-5932	60	7	numerical	numerical	ADJ
ejpam-5932	60	8	comparisons	comparison	NOUN
ejpam-5932	60	9	with	with	ADP
ejpam-5932	60	10	standard	standard	ADJ
ejpam-5932	60	11	methods	method	NOUN
ejpam-5932	60	12	using	use	VERB
ejpam-5932	60	13	test	test	NOUN
ejpam-5932	60	14	problems	problem	NOUN
ejpam-5932	60	15	from	from	ADP
ejpam-5932	60	16	the	the	DET
ejpam-5932	60	17	cute	cute	ADJ
ejpam-5932	60	18	collection	collection	NOUN
ejpam-5932	60	19	and	and	CCONJ
ejpam-5932	60	20	unconstrained	unconstrained	ADJ
ejpam-5932	60	21	optimization	optimization	NOUN
ejpam-5932	60	22	problems	problem	NOUN
ejpam-5932	60	23	.	.	PUNCT
ejpam-5932	61	1	finally	finally	ADV
ejpam-5932	61	2	,	,	PUNCT
ejpam-5932	61	3	section	section	NOUN
ejpam-5932	61	4	6	6	NUM
ejpam-5932	61	5	concludes	conclude	VERB
ejpam-5932	61	6	the	the	DET
ejpam-5932	61	7	paper	paper	NOUN
ejpam-5932	61	8	.	.	PUNCT
ejpam-5932	62	1	2	2	X
ejpam-5932	62	2	.	.	NUM
ejpam-5932	62	3	proposed	propose	VERB
ejpam-5932	62	4	method	method	NOUN
ejpam-5932	62	5	and	and	CCONJ
ejpam-5932	62	6	algorithm	algorithm	NOUN
ejpam-5932	62	7	in	in	ADP
ejpam-5932	62	8	this	this	DET
ejpam-5932	62	9	section	section	NOUN
ejpam-5932	62	10	,	,	PUNCT
ejpam-5932	62	11	we	we	PRON
ejpam-5932	62	12	introduce	introduce	VERB
ejpam-5932	62	13	a	a	DET
ejpam-5932	62	14	newly	newly	ADV
ejpam-5932	62	15	proposed	propose	VERB
ejpam-5932	62	16	cg	cg	NOUN
ejpam-5932	62	17	method	method	NOUN
ejpam-5932	62	18	for	for	ADP
ejpam-5932	62	19	solving	solve	VERB
ejpam-5932	62	20	nonlinear	nonlinear	ADJ
ejpam-5932	62	21	optimization	optimization	NOUN
ejpam-5932	62	22	problems	problem	NOUN
ejpam-5932	62	23	.	.	PUNCT
ejpam-5932	63	1	this	this	DET
ejpam-5932	63	2	method	method	NOUN
ejpam-5932	63	3	is	be	AUX
ejpam-5932	63	4	based	base	VERB
ejpam-5932	63	5	on	on	ADP
ejpam-5932	63	6	the	the	DET
ejpam-5932	63	7	perry	perry	PROPN
ejpam-5932	63	8	parameter	parameter	PROPN
ejpam-5932	64	1	[	[	X
ejpam-5932	64	2	28	28	NUM
ejpam-5932	64	3	]	]	X
ejpam-5932	64	4	:	:	PUNCT
ejpam-5932	65	1	βperry	βperry	PROPN
ejpam-5932	65	2	k	k	PROPN
ejpam-5932	66	1	=	=	PUNCT
ejpam-5932	66	2	gtk+1(yk	gtk+1(yk	PROPN
ejpam-5932	66	3	−	−	PROPN
ejpam-5932	66	4	vk	vk	PROPN
ejpam-5932	66	5	)	)	PUNCT
ejpam-5932	66	6	dtk	dtk	PROPN
ejpam-5932	66	7	yk	yk	PROPN
ejpam-5932	66	8	,	,	PUNCT
ejpam-5932	66	9	(	(	PUNCT
ejpam-5932	66	10	14	14	NUM
ejpam-5932	66	11	)	)	PUNCT
ejpam-5932	67	1	a.	a.	NOUN
ejpam-5932	67	2	l.	l.	PROPN
ejpam-5932	67	3	ibrahim	ibrahim	PROPN
ejpam-5932	67	4	et	et	PROPN
ejpam-5932	67	5	al	al	PROPN
ejpam-5932	67	6	.	.	PUNCT
ejpam-5932	67	7	/	/	SYM
ejpam-5932	67	8	eur	eur	PROPN
ejpam-5932	67	9	.	.	PUNCT
ejpam-5932	68	1	j.	j.	PROPN
ejpam-5932	68	2	pure	pure	PROPN
ejpam-5932	68	3	appl	appl	PROPN
ejpam-5932	68	4	.	.	PROPN
ejpam-5932	68	5	math	math	PROPN
ejpam-5932	68	6	,	,	PUNCT
ejpam-5932	68	7	18	18	NUM
ejpam-5932	68	8	(	(	PUNCT
ejpam-5932	68	9	2	2	NUM
ejpam-5932	68	10	)	)	PUNCT
ejpam-5932	68	11	(	(	PUNCT
ejpam-5932	68	12	2025	2025	NUM
ejpam-5932	68	13	)	)	PUNCT
ejpam-5932	68	14	,	,	PUNCT
ejpam-5932	68	15	5932	5932	NUM
ejpam-5932	68	16	4	4	NUM
ejpam-5932	68	17	of	of	ADP
ejpam-5932	68	18	15	15	NUM
ejpam-5932	68	19	and	and	CCONJ
ejpam-5932	68	20	employs	employ	VERB
ejpam-5932	68	21	a	a	DET
ejpam-5932	68	22	gradient	gradient	NOUN
ejpam-5932	68	23	-	-	PUNCT
ejpam-5932	68	24	difference	difference	NOUN
ejpam-5932	68	25	vector	vector	NOUN
ejpam-5932	68	26	as	as	SCONJ
ejpam-5932	68	27	suggested	suggest	VERB
ejpam-5932	68	28	by	by	ADP
ejpam-5932	68	29	powell	powell	PROPN
ejpam-5932	69	1	[	[	X
ejpam-5932	69	2	29	29	NUM
ejpam-5932	69	3	]	]	PUNCT
ejpam-5932	69	4	:	:	PUNCT
ejpam-5932	70	1	ȳk	ȳk	PROPN
ejpam-5932	70	2	=	=	SYM
ejpam-5932	70	3	yk	yk	PROPN
ejpam-5932	70	4	+	+	CCONJ
ejpam-5932	70	5	(	(	PUNCT
ejpam-5932	70	6	1−	1−	NUM
ejpam-5932	70	7	θ)(gksk	θ)(gksk	NUM
ejpam-5932	70	8	−	−	PROPN
ejpam-5932	70	9	yk	yk	PROPN
ejpam-5932	70	10	)	)	PUNCT
ejpam-5932	70	11	,	,	PUNCT
ejpam-5932	70	12	(	(	PUNCT
ejpam-5932	70	13	15	15	NUM
ejpam-5932	70	14	)	)	PUNCT
ejpam-5932	70	15	where	where	SCONJ
ejpam-5932	70	16	0	0	NUM
ejpam-5932	70	17	<	<	X
ejpam-5932	70	18	θ	θ	X
ejpam-5932	70	19	<	<	X
ejpam-5932	70	20	1	1	NUM
ejpam-5932	70	21	.	.	PUNCT
ejpam-5932	70	22	additionally	additionally	ADV
ejpam-5932	70	23	,	,	PUNCT
ejpam-5932	70	24	to	to	PART
ejpam-5932	70	25	incorporate	incorporate	VERB
ejpam-5932	70	26	second	second	ADJ
ejpam-5932	70	27	-	-	PUNCT
ejpam-5932	70	28	order	order	NOUN
ejpam-5932	70	29	information	information	NOUN
ejpam-5932	70	30	without	without	ADP
ejpam-5932	70	31	computing	compute	VERB
ejpam-5932	70	32	the	the	DET
ejpam-5932	70	33	hessian	hessian	NOUN
ejpam-5932	70	34	explicitly	explicitly	ADV
ejpam-5932	70	35	,	,	PUNCT
ejpam-5932	70	36	andrei	andrei	PROPN
ejpam-5932	71	1	[	[	X
ejpam-5932	71	2	30	30	NUM
ejpam-5932	71	3	]	]	PUNCT
ejpam-5932	71	4	proposed	propose	VERB
ejpam-5932	71	5	a	a	DET
ejpam-5932	71	6	nonlinear	nonlinear	ADJ
ejpam-5932	71	7	cg	cg	NOUN
ejpam-5932	71	8	algorithm	algorithm	NOUN
ejpam-5932	71	9	where	where	SCONJ
ejpam-5932	71	10	the	the	DET
ejpam-5932	71	11	hessian	hessian	ADJ
ejpam-5932	71	12	-	-	PUNCT
ejpam-5932	71	13	vector	vector	NOUN
ejpam-5932	71	14	product	product	NOUN
ejpam-5932	71	15	is	be	AUX
ejpam-5932	71	16	approximated	approximate	VERB
ejpam-5932	71	17	using	use	VERB
ejpam-5932	71	18	finite	finite	ADJ
ejpam-5932	71	19	differences	difference	NOUN
ejpam-5932	71	20	:	:	PUNCT
ejpam-5932	71	21	y∗k	y∗k	PROPN
ejpam-5932	71	22	=	=	SYM
ejpam-5932	71	23	yk	yk	PROPN
ejpam-5932	71	24	+	+	CCONJ
ejpam-5932	71	25	(	(	PUNCT
ejpam-5932	71	26	1−	1−	NUM
ejpam-5932	71	27	θ	θ	NOUN
ejpam-5932	71	28	)	)	PUNCT
ejpam-5932	71	29	(	(	PUNCT
ejpam-5932	71	30	yk	yk	PROPN
ejpam-5932	71	31	σ	σ	PROPN
ejpam-5932	71	32	−	−	PROPN
ejpam-5932	71	33	yk	yk	PROPN
ejpam-5932	71	34	)	)	PUNCT
ejpam-5932	71	35	,	,	PUNCT
ejpam-5932	71	36	(	(	PUNCT
ejpam-5932	71	37	16	16	NUM
ejpam-5932	71	38	)	)	PUNCT
ejpam-5932	72	1	where	where	SCONJ
ejpam-5932	72	2	σ	σ	NOUN
ejpam-5932	73	1	=	=	SYM
ejpam-5932	74	1	2	2	NUM
ejpam-5932	74	2	√	√	NUM
ejpam-5932	74	3	ϵm(1+∥xk+1∥	ϵm(1+∥xk+1∥	PROPN
ejpam-5932	74	4	)	)	PUNCT
ejpam-5932	74	5	∥vk∥	∥vk∥	NOUN
ejpam-5932	74	6	,	,	PUNCT
ejpam-5932	74	7	and	and	CCONJ
ejpam-5932	74	8	ϵm	ϵm	PROPN
ejpam-5932	74	9	is	be	AUX
ejpam-5932	74	10	the	the	DET
ejpam-5932	74	11	machine	machine	NOUN
ejpam-5932	74	12	precision	precision	NOUN
ejpam-5932	74	13	.	.	PUNCT
ejpam-5932	75	1	now	now	ADV
ejpam-5932	75	2	,	,	PUNCT
ejpam-5932	75	3	let	let	VERB
ejpam-5932	75	4	us	we	PRON
ejpam-5932	75	5	define	define	VERB
ejpam-5932	75	6	the	the	DET
ejpam-5932	75	7	updated	update	VERB
ejpam-5932	75	8	vectors	vector	NOUN
ejpam-5932	75	9	as	as	SCONJ
ejpam-5932	75	10	follows	follow	VERB
ejpam-5932	75	11	:	:	PUNCT
ejpam-5932	75	12	y∗k	y∗k	PROPN
ejpam-5932	75	13	=	=	SYM
ejpam-5932	75	14	yk	yk	PROPN
ejpam-5932	75	15	σ	σ	NOUN
ejpam-5932	76	1	−	−	PROPN
ejpam-5932	76	2	θyk	θyk	NOUN
ejpam-5932	76	3	σ	σ	NOUN
ejpam-5932	76	4	+	+	CCONJ
ejpam-5932	76	5	θyk	θyk	ADJ
ejpam-5932	76	6	,	,	PUNCT
ejpam-5932	76	7	(	(	PUNCT
ejpam-5932	76	8	17	17	NUM
ejpam-5932	76	9	)	)	PUNCT
ejpam-5932	76	10	and	and	CCONJ
ejpam-5932	76	11	for	for	ADP
ejpam-5932	76	12	the	the	DET
ejpam-5932	76	13	yk	yk	PROPN
ejpam-5932	76	14	vector	vector	NOUN
ejpam-5932	76	15	:	:	PUNCT
ejpam-5932	76	16	y∗k	y∗k	PROPN
ejpam-5932	76	17	=	=	SYM
ejpam-5932	76	18	(	(	PUNCT
ejpam-5932	76	19	1−	1−	NUM
ejpam-5932	76	20	θ	θ	NOUN
ejpam-5932	76	21	σ	σ	NOUN
ejpam-5932	76	22	+	+	NUM
ejpam-5932	76	23	θ	θ	PROPN
ejpam-5932	76	24	)	)	PUNCT
ejpam-5932	76	25	yk	yk	PROPN
ejpam-5932	76	26	.	.	PUNCT
ejpam-5932	77	1	(	(	PUNCT
ejpam-5932	77	2	18	18	NUM
ejpam-5932	77	3	)	)	PUNCT
ejpam-5932	77	4	by	by	ADP
ejpam-5932	77	5	substituting	substitute	VERB
ejpam-5932	77	6	y∗k	y∗k	NUM
ejpam-5932	77	7	into	into	ADP
ejpam-5932	77	8	the	the	DET
ejpam-5932	77	9	perry	perry	NOUN
ejpam-5932	77	10	formula	formula	NOUN
ejpam-5932	77	11	,	,	PUNCT
ejpam-5932	77	12	we	we	PRON
ejpam-5932	77	13	obtain	obtain	VERB
ejpam-5932	77	14	the	the	DET
ejpam-5932	77	15	new	new	ADJ
ejpam-5932	77	16	expression	expression	NOUN
ejpam-5932	77	17	for	for	ADP
ejpam-5932	77	18	the	the	DET
ejpam-5932	77	19	conjugate	conjugate	ADJ
ejpam-5932	77	20	gradient	gradient	NOUN
ejpam-5932	77	21	parameter	parameter	NOUN
ejpam-5932	77	22	:	:	PUNCT
ejpam-5932	78	1	βnew	βnew	PROPN
ejpam-5932	78	2	k	k	NOUN
ejpam-5932	79	1	=	=	PUNCT
ejpam-5932	79	2	gtk+1(y	gtk+1(y	PROPN
ejpam-5932	79	3	∗	∗	NOUN
ejpam-5932	79	4	k	k	PROPN
ejpam-5932	80	1	−	−	PROPN
ejpam-5932	80	2	vk	vk	PROPN
ejpam-5932	80	3	)	)	PUNCT
ejpam-5932	80	4	dtk	dtk	PROPN
ejpam-5932	80	5	y	y	PROPN
ejpam-5932	80	6	∗	∗	PROPN
ejpam-5932	80	7	k	k	PROPN
ejpam-5932	81	1	=	=	PUNCT
ejpam-5932	81	2	gtk+1y	gtk+1y	PROPN
ejpam-5932	81	3	∗	∗	NOUN
ejpam-5932	81	4	k	k	PROPN
ejpam-5932	82	1	−	−	PROPN
ejpam-5932	82	2	gtk+1vk	gtk+1vk	PROPN
ejpam-5932	82	3	dtk	dtk	PROPN
ejpam-5932	82	4	y	y	PROPN
ejpam-5932	82	5	∗	∗	PROPN
ejpam-5932	82	6	k	k	PROPN
ejpam-5932	82	7	.	.	PUNCT
ejpam-5932	83	1	(	(	PUNCT
ejpam-5932	83	2	19	19	NUM
ejpam-5932	83	3	)	)	PUNCT
ejpam-5932	83	4	after	after	ADP
ejpam-5932	83	5	performing	perform	VERB
ejpam-5932	83	6	some	some	DET
ejpam-5932	83	7	algebraic	algebraic	ADJ
ejpam-5932	83	8	manipulations	manipulation	NOUN
ejpam-5932	83	9	,	,	PUNCT
ejpam-5932	83	10	we	we	PRON
ejpam-5932	83	11	derive	derive	VERB
ejpam-5932	83	12	the	the	DET
ejpam-5932	83	13	final	final	ADJ
ejpam-5932	83	14	form	form	NOUN
ejpam-5932	83	15	of	of	ADP
ejpam-5932	83	16	βnew	βnew	ADJ
ejpam-5932	83	17	k	k	NOUN
ejpam-5932	83	18	:	:	PUNCT
ejpam-5932	83	19	βnew	βnew	PROPN
ejpam-5932	83	20	k	k	NOUN
ejpam-5932	83	21	=	=	PUNCT
ejpam-5932	83	22	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	83	23	dtk	dtk	PROPN
ejpam-5932	83	24	yk	yk	PROPN
ejpam-5932	83	25	−	−	PROPN
ejpam-5932	83	26	σ	σ	PROPN
ejpam-5932	83	27	(	(	PUNCT
ejpam-5932	83	28	1−	1−	NUM
ejpam-5932	83	29	θ	θ	PROPN
ejpam-5932	83	30	+	+	CCONJ
ejpam-5932	83	31	σθ	σθ	NOUN
ejpam-5932	83	32	)	)	PUNCT
ejpam-5932	83	33	·	·	PUNCT
ejpam-5932	84	1	gtk+1vk	gtk+1vk	PROPN
ejpam-5932	84	2	dtk	dtk	PROPN
ejpam-5932	84	3	yk	yk	PROPN
ejpam-5932	84	4	,	,	PUNCT
ejpam-5932	84	5	(	(	PUNCT
ejpam-5932	84	6	20	20	NUM
ejpam-5932	84	7	)	)	PUNCT
ejpam-5932	84	8	where	where	SCONJ
ejpam-5932	84	9	σ	σ	NOUN
ejpam-5932	84	10	=	=	SYM
ejpam-5932	84	11	2	2	NUM
ejpam-5932	84	12	√	√	NUM
ejpam-5932	84	13	ϵm(1+∥xk+1∥	ϵm(1+∥xk+1∥	PROPN
ejpam-5932	84	14	)	)	PUNCT
ejpam-5932	84	15	∥vk∥	∥vk∥	NOUN
ejpam-5932	84	16	,	,	PUNCT
ejpam-5932	84	17	and	and	CCONJ
ejpam-5932	84	18	0	0	NUM
ejpam-5932	84	19	<	<	X
ejpam-5932	84	20	θ	θ	X
ejpam-5932	84	21	<	<	X
ejpam-5932	84	22	1	1	NUM
ejpam-5932	84	23	.	.	PUNCT
ejpam-5932	85	1	the	the	DET
ejpam-5932	85	2	newly	newly	ADV
ejpam-5932	85	3	developed	develop	VERB
ejpam-5932	85	4	conjugate	conjugate	ADJ
ejpam-5932	85	5	gradient	gradient	NOUN
ejpam-5932	85	6	methods	method	NOUN
ejpam-5932	85	7	aim	aim	VERB
ejpam-5932	85	8	to	to	PART
ejpam-5932	85	9	improve	improve	VERB
ejpam-5932	85	10	the	the	DET
ejpam-5932	85	11	efficiency	efficiency	NOUN
ejpam-5932	85	12	and	and	CCONJ
ejpam-5932	85	13	convergence	convergence	NOUN
ejpam-5932	85	14	characteristics	characteristic	NOUN
ejpam-5932	85	15	of	of	ADP
ejpam-5932	85	16	traditional	traditional	ADJ
ejpam-5932	85	17	cg	cg	NOUN
ejpam-5932	85	18	approaches	approach	NOUN
ejpam-5932	85	19	,	,	PUNCT
ejpam-5932	85	20	particularly	particularly	ADV
ejpam-5932	85	21	for	for	ADP
ejpam-5932	85	22	high	high	ADJ
ejpam-5932	85	23	-	-	PUNCT
ejpam-5932	85	24	dimensional	dimensional	ADJ
ejpam-5932	85	25	optimization	optimization	NOUN
ejpam-5932	85	26	problems	problem	NOUN
ejpam-5932	85	27	.	.	PUNCT
ejpam-5932	86	1	note	note	NOUN
ejpam-5932	86	2	:	:	PUNCT
ejpam-5932	86	3	when	when	SCONJ
ejpam-5932	86	4	θ	θ	PROPN
ejpam-5932	86	5	=	=	SYM
ejpam-5932	86	6	1	1	NUM
ejpam-5932	86	7	,	,	PUNCT
ejpam-5932	86	8	the	the	DET
ejpam-5932	86	9	expression	expression	NOUN
ejpam-5932	86	10	in	in	ADP
ejpam-5932	86	11	equation	equation	NOUN
ejpam-5932	86	12	(	(	PUNCT
ejpam-5932	86	13	20	20	NUM
ejpam-5932	86	14	)	)	PUNCT
ejpam-5932	86	15	reduces	reduce	VERB
ejpam-5932	86	16	to	to	ADP
ejpam-5932	86	17	the	the	DET
ejpam-5932	86	18	traditional	traditional	ADJ
ejpam-5932	86	19	perry	perry	NOUN
ejpam-5932	86	20	formula	formula	NOUN
ejpam-5932	86	21	,	,	PUNCT
ejpam-5932	86	22	meaning	mean	VERB
ejpam-5932	86	23	we	we	PRON
ejpam-5932	86	24	revert	revert	VERB
ejpam-5932	86	25	to	to	ADP
ejpam-5932	86	26	the	the	DET
ejpam-5932	86	27	original	original	ADJ
ejpam-5932	86	28	conjugate	conjugate	ADJ
ejpam-5932	86	29	gradient	gradient	NOUN
ejpam-5932	86	30	method	method	NOUN
ejpam-5932	86	31	that	that	PRON
ejpam-5932	86	32	does	do	AUX
ejpam-5932	86	33	not	not	PART
ejpam-5932	86	34	use	use	VERB
ejpam-5932	86	35	finite	finite	ADJ
ejpam-5932	86	36	differences	difference	NOUN
ejpam-5932	86	37	or	or	CCONJ
ejpam-5932	86	38	second	second	ADJ
ejpam-5932	86	39	-	-	PUNCT
ejpam-5932	86	40	order	order	NOUN
ejpam-5932	86	41	approximations	approximation	NOUN
ejpam-5932	86	42	.	.	PUNCT
ejpam-5932	87	1	a.	a.	PROPN
ejpam-5932	87	2	l.	l.	PROPN
ejpam-5932	87	3	ibrahim	ibrahim	PROPN
ejpam-5932	87	4	et	et	PROPN
ejpam-5932	87	5	al	al	PROPN
ejpam-5932	87	6	.	.	PUNCT
ejpam-5932	87	7	/	/	SYM
ejpam-5932	87	8	eur	eur	PROPN
ejpam-5932	87	9	.	.	PUNCT
ejpam-5932	88	1	j.	j.	PROPN
ejpam-5932	88	2	pure	pure	PROPN
ejpam-5932	88	3	appl	appl	PROPN
ejpam-5932	88	4	.	.	PROPN
ejpam-5932	88	5	math	math	PROPN
ejpam-5932	88	6	,	,	PUNCT
ejpam-5932	88	7	18	18	NUM
ejpam-5932	88	8	(	(	PUNCT
ejpam-5932	88	9	2	2	NUM
ejpam-5932	88	10	)	)	PUNCT
ejpam-5932	88	11	(	(	PUNCT
ejpam-5932	88	12	2025	2025	NUM
ejpam-5932	88	13	)	)	PUNCT
ejpam-5932	88	14	,	,	PUNCT
ejpam-5932	88	15	5932	5932	NUM
ejpam-5932	88	16	5	5	NUM
ejpam-5932	88	17	of	of	ADP
ejpam-5932	88	18	15	15	NUM
ejpam-5932	88	19	algorithm	algorithm	NOUN
ejpam-5932	88	20	1	1	NUM
ejpam-5932	88	21	new	new	ADJ
ejpam-5932	88	22	conjugate	conjugate	ADJ
ejpam-5932	88	23	gradient	gradient	NOUN
ejpam-5932	88	24	method	method	NOUN
ejpam-5932	88	25	for	for	ADP
ejpam-5932	88	26	unconstrained	unconstrained	ADJ
ejpam-5932	88	27	optimization	optimization	NOUN
ejpam-5932	88	28	1	1	NUM
ejpam-5932	88	29	:	:	PUNCT
ejpam-5932	88	30	initialization	initialization	NOUN
ejpam-5932	88	31	choose	choose	VERB
ejpam-5932	88	32	an	an	DET
ejpam-5932	88	33	initial	initial	ADJ
ejpam-5932	88	34	point	point	NOUN
ejpam-5932	88	35	x0	x0	PROPN
ejpam-5932	88	36	∈	∈	PROPN
ejpam-5932	88	37	rn	rn	PROPN
ejpam-5932	88	38	,	,	PUNCT
ejpam-5932	88	39	parameters	parameter	NOUN
ejpam-5932	88	40	0	0	PUNCT
ejpam-5932	88	41	<	<	X
ejpam-5932	88	42	δ	δ	X
ejpam-5932	88	43	<	<	X
ejpam-5932	88	44	µ	µ	X
ejpam-5932	88	45	<	<	X
ejpam-5932	88	46	1	1	NUM
ejpam-5932	88	47	,	,	PUNCT
ejpam-5932	88	48	and	and	CCONJ
ejpam-5932	88	49	tolerance	tolerance	NOUN
ejpam-5932	88	50	ϵ	ϵ	X
ejpam-5932	88	51	>	>	X
ejpam-5932	88	52	0	0	X
ejpam-5932	88	53	.	.	PUNCT
ejpam-5932	89	1	set	set	VERB
ejpam-5932	89	2	k	k	PROPN
ejpam-5932	89	3	=	=	PUNCT
ejpam-5932	89	4	0	0	PROPN
ejpam-5932	89	5	and	and	CCONJ
ejpam-5932	89	6	d1	d1	PROPN
ejpam-5932	89	7	=	=	PUNCT
ejpam-5932	90	1	−g1	−g1	VERB
ejpam-5932	90	2	.	.	PUNCT
ejpam-5932	91	1	2	2	NUM
ejpam-5932	91	2	:	:	PUNCT
ejpam-5932	91	3	stopping	stop	VERB
ejpam-5932	91	4	condition	condition	NOUN
ejpam-5932	91	5	if	if	SCONJ
ejpam-5932	91	6	∥gk∥	∥gk∥	ADJ
ejpam-5932	91	7	≤	≤	PROPN
ejpam-5932	91	8	ϵ	ϵ	X
ejpam-5932	91	9	,	,	PUNCT
ejpam-5932	91	10	stop	stop	VERB
ejpam-5932	91	11	.	.	PUNCT
ejpam-5932	92	1	3	3	NUM
ejpam-5932	92	2	:	:	PUNCT
ejpam-5932	92	3	compute	compute	NOUN
ejpam-5932	92	4	step	step	NOUN
ejpam-5932	92	5	size	size	NOUN
ejpam-5932	92	6	compute	compute	NOUN
ejpam-5932	92	7	αk	αk	ADP
ejpam-5932	92	8	using	use	VERB
ejpam-5932	92	9	the	the	DET
ejpam-5932	92	10	weak	weak	ADJ
ejpam-5932	92	11	wolfe	wolfe	NOUN
ejpam-5932	92	12	conditions	condition	NOUN
ejpam-5932	92	13	(	(	PUNCT
ejpam-5932	92	14	equations	equation	NOUN
ejpam-5932	92	15	(	(	PUNCT
ejpam-5932	92	16	3	3	NUM
ejpam-5932	92	17	)	)	PUNCT
ejpam-5932	92	18	and	and	CCONJ
ejpam-5932	92	19	(	(	PUNCT
ejpam-5932	92	20	4	4	NUM
ejpam-5932	92	21	)	)	PUNCT
ejpam-5932	92	22	)	)	PUNCT
ejpam-5932	92	23	.	.	PUNCT
ejpam-5932	93	1	4	4	NUM
ejpam-5932	93	2	:	:	PUNCT
ejpam-5932	93	3	update	update	NOUN
ejpam-5932	93	4	update	update	NOUN
ejpam-5932	93	5	the	the	DET
ejpam-5932	93	6	point	point	NOUN
ejpam-5932	93	7	:	:	PUNCT
ejpam-5932	94	1	xk+1	xk+1	PROPN
ejpam-5932	94	2	=	=	SYM
ejpam-5932	94	3	xk	xk	PROPN
ejpam-5932	94	4	+	+	CCONJ
ejpam-5932	94	5	αkdk	αkdk	NOUN
ejpam-5932	94	6	.	.	PUNCT
ejpam-5932	95	1	(	(	PUNCT
ejpam-5932	95	2	21	21	NUM
ejpam-5932	95	3	)	)	PUNCT
ejpam-5932	95	4	5	5	NUM
ejpam-5932	95	5	:	:	PUNCT
ejpam-5932	95	6	compute	compute	NOUN
ejpam-5932	95	7	direction	direction	NOUN
ejpam-5932	95	8	compute	compute	NOUN
ejpam-5932	95	9	:	:	PUNCT
ejpam-5932	95	10	dk+1	dk+1	PROPN
ejpam-5932	95	11	=	=	SYM
ejpam-5932	95	12	−gk+1	−gk+1	PROPN
ejpam-5932	95	13	+	+	CCONJ
ejpam-5932	95	14	βkdk	βkdk	NOUN
ejpam-5932	95	15	.	.	PUNCT
ejpam-5932	96	1	(	(	PUNCT
ejpam-5932	96	2	22	22	X
ejpam-5932	96	3	)	)	PUNCT
ejpam-5932	96	4	choose	choose	VERB
ejpam-5932	96	5	βk	βk	NOUN
ejpam-5932	96	6	using	use	VERB
ejpam-5932	96	7	equation	equation	NOUN
ejpam-5932	96	8	(	(	PUNCT
ejpam-5932	96	9	20	20	NUM
ejpam-5932	96	10	)	)	PUNCT
ejpam-5932	96	11	.	.	PUNCT
ejpam-5932	97	1	6	6	NUM
ejpam-5932	97	2	:	:	PUNCT
ejpam-5932	97	3	repeat	repeat	AUX
ejpam-5932	97	4	set	set	VERB
ejpam-5932	97	5	k	k	PROPN
ejpam-5932	98	1	=	=	PUNCT
ejpam-5932	98	2	k	k	PROPN
ejpam-5932	99	1	+	+	CCONJ
ejpam-5932	99	2	1	1	NUM
ejpam-5932	99	3	and	and	CCONJ
ejpam-5932	99	4	go	go	VERB
ejpam-5932	99	5	to	to	PART
ejpam-5932	99	6	step	step	VERB
ejpam-5932	99	7	2	2	NUM
ejpam-5932	99	8	.	.	NOUN
ejpam-5932	100	1	3	3	NUM
ejpam-5932	100	2	.	.	X
ejpam-5932	100	3	descent	descent	NOUN
ejpam-5932	100	4	property	property	NOUN
ejpam-5932	100	5	and	and	CCONJ
ejpam-5932	100	6	sufficient	sufficient	ADJ
ejpam-5932	100	7	descent	descent	NOUN
ejpam-5932	100	8	condition	condition	NOUN
ejpam-5932	100	9	in	in	ADP
ejpam-5932	100	10	this	this	DET
ejpam-5932	100	11	section	section	NOUN
ejpam-5932	101	1	,	,	PUNCT
ejpam-5932	101	2	we	we	PRON
ejpam-5932	101	3	establish	establish	VERB
ejpam-5932	101	4	the	the	DET
ejpam-5932	101	5	descent	descent	NOUN
ejpam-5932	101	6	condition	condition	NOUN
ejpam-5932	101	7	for	for	ADP
ejpam-5932	101	8	the	the	DET
ejpam-5932	101	9	proposed	propose	VERB
ejpam-5932	101	10	algorithm	algorithm	NOUN
ejpam-5932	101	11	.	.	PUNCT
ejpam-5932	102	1	theorem	theorem	NOUN
ejpam-5932	102	2	1	1	NUM
ejpam-5932	102	3	.	.	PUNCT
ejpam-5932	103	1	if	if	SCONJ
ejpam-5932	103	2	the	the	DET
ejpam-5932	103	3	search	search	NOUN
ejpam-5932	103	4	direction	direction	NOUN
ejpam-5932	103	5	dk+1	dk+1	NOUN
ejpam-5932	103	6	is	be	AUX
ejpam-5932	103	7	generated	generate	VERB
ejpam-5932	103	8	by	by	ADP
ejpam-5932	103	9	equation	equation	NOUN
ejpam-5932	103	10	(	(	PUNCT
ejpam-5932	103	11	6	6	NUM
ejpam-5932	103	12	)	)	PUNCT
ejpam-5932	103	13	with	with	ADP
ejpam-5932	103	14	βnew	βnew	PROPN
ejpam-5932	103	15	k	k	PROPN
ejpam-5932	103	16	from	from	ADP
ejpam-5932	103	17	equation	equation	NOUN
ejpam-5932	103	18	(	(	PUNCT
ejpam-5932	103	19	20	20	NUM
ejpam-5932	103	20	)	)	PUNCT
ejpam-5932	103	21	,	,	PUNCT
ejpam-5932	103	22	then	then	ADV
ejpam-5932	103	23	the	the	DET
ejpam-5932	103	24	descent	descent	NOUN
ejpam-5932	103	25	condition	condition	NOUN
ejpam-5932	103	26	holds	hold	VERB
ejpam-5932	103	27	:	:	PUNCT
ejpam-5932	104	1	gtk+1dk+1	gtk+1dk+1	VERB
ejpam-5932	104	2	≤	≤	NUM
ejpam-5932	104	3	0	0	NUM
ejpam-5932	104	4	.	.	PUNCT
ejpam-5932	105	1	(	(	PUNCT
ejpam-5932	105	2	23	23	X
ejpam-5932	105	3	)	)	PUNCT
ejpam-5932	105	4	proof	proof	NOUN
ejpam-5932	105	5	.	.	PUNCT
ejpam-5932	106	1	multiplying	multiply	VERB
ejpam-5932	106	2	both	both	DET
ejpam-5932	106	3	sides	side	NOUN
ejpam-5932	106	4	of	of	ADP
ejpam-5932	106	5	equation	equation	NOUN
ejpam-5932	106	6	(	(	PUNCT
ejpam-5932	106	7	6	6	NUM
ejpam-5932	106	8	)	)	PUNCT
ejpam-5932	106	9	by	by	ADP
ejpam-5932	106	10	gtk+1	gtk+1	NOUN
ejpam-5932	106	11	and	and	CCONJ
ejpam-5932	106	12	substituting	substitute	VERB
ejpam-5932	106	13	βnew	βnew	PROPN
ejpam-5932	106	14	k	k	NOUN
ejpam-5932	106	15	from	from	ADP
ejpam-5932	106	16	equation	equation	NOUN
ejpam-5932	106	17	(	(	PUNCT
ejpam-5932	106	18	20	20	NUM
ejpam-5932	106	19	)	)	PUNCT
ejpam-5932	106	20	,	,	PUNCT
ejpam-5932	106	21	we	we	PRON
ejpam-5932	106	22	obtain	obtain	VERB
ejpam-5932	106	23	:	:	PUNCT
ejpam-5932	106	24	gtk+1dk+1	gtk+1dk+1	NOUN
ejpam-5932	106	25	=	=	PUNCT
ejpam-5932	106	26	−gtk+1gk+1	−gtk+1gk+1	ADJ
ejpam-5932	107	1	+	+	CCONJ
ejpam-5932	107	2	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	107	3	dtk	dtk	PROPN
ejpam-5932	107	4	yk	yk	PROPN
ejpam-5932	107	5	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	107	6	−	−	PROPN
ejpam-5932	107	7	(	(	PUNCT
ejpam-5932	107	8	σ	σ	PROPN
ejpam-5932	107	9	(	(	PUNCT
ejpam-5932	107	10	1−	1−	NUM
ejpam-5932	107	11	θ	θ	NOUN
ejpam-5932	107	12	)	)	PUNCT
ejpam-5932	108	1	+	+	CCONJ
ejpam-5932	108	2	σθ	σθ	NOUN
ejpam-5932	108	3	)	)	PUNCT
ejpam-5932	108	4	gtk+1vk	gtk+1vk	PROPN
ejpam-5932	108	5	dtk	dtk	PROPN
ejpam-5932	108	6	yk	yk	PROPN
ejpam-5932	108	7	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	108	8	.	.	PUNCT
ejpam-5932	109	1	(	(	PUNCT
ejpam-5932	109	2	24	24	NUM
ejpam-5932	109	3	)	)	PUNCT
ejpam-5932	109	4	if	if	SCONJ
ejpam-5932	109	5	the	the	DET
ejpam-5932	109	6	search	search	NOUN
ejpam-5932	109	7	direction	direction	NOUN
ejpam-5932	109	8	is	be	AUX
ejpam-5932	109	9	exact	exact	ADJ
ejpam-5932	109	10	,	,	PUNCT
ejpam-5932	109	11	then	then	ADV
ejpam-5932	109	12	it	it	PRON
ejpam-5932	109	13	satisfies	satisfy	VERB
ejpam-5932	109	14	the	the	DET
ejpam-5932	109	15	descent	descent	NOUN
ejpam-5932	109	16	condition	condition	NOUN
ejpam-5932	109	17	:	:	PUNCT
ejpam-5932	109	18	gtk+1dk+1	gtk+1dk+1	VERB
ejpam-5932	109	19	=	=	SYM
ejpam-5932	109	20	−∥gk+1∥2	−∥gk+1∥2	ADJ
ejpam-5932	109	21	≤	≤	NOUN
ejpam-5932	109	22	0	0	NUM
ejpam-5932	109	23	.	.	PUNCT
ejpam-5932	110	1	(	(	PUNCT
ejpam-5932	110	2	25	25	NUM
ejpam-5932	110	3	)	)	PUNCT
ejpam-5932	110	4	for	for	ADP
ejpam-5932	110	5	an	an	DET
ejpam-5932	110	6	inexact	inexact	ADJ
ejpam-5932	110	7	search	search	NOUN
ejpam-5932	110	8	direction	direction	NOUN
ejpam-5932	110	9	where	where	SCONJ
ejpam-5932	110	10	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	110	11	̸=	̸=	PROPN
ejpam-5932	110	12	0	0	NUM
ejpam-5932	110	13	,	,	PUNCT
ejpam-5932	110	14	we	we	PRON
ejpam-5932	110	15	note	note	VERB
ejpam-5932	110	16	that	that	SCONJ
ejpam-5932	110	17	the	the	DET
ejpam-5932	110	18	first	first	ADJ
ejpam-5932	110	19	two	two	NUM
ejpam-5932	110	20	terms	term	NOUN
ejpam-5932	110	21	of	of	ADP
ejpam-5932	110	22	equation	equation	NOUN
ejpam-5932	110	23	(	(	PUNCT
ejpam-5932	110	24	24	24	NUM
ejpam-5932	110	25	)	)	PUNCT
ejpam-5932	110	26	satisfy	satisfy	NOUN
ejpam-5932	110	27	:	:	PUNCT
ejpam-5932	110	28	−gtk+1gk+1	−gtk+1gk+1	PROPN
ejpam-5932	111	1	+	+	CCONJ
ejpam-5932	111	2	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	111	3	dtk	dtk	PROPN
ejpam-5932	111	4	yk	yk	PROPN
ejpam-5932	111	5	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	112	1	≤	≤	ADV
ejpam-5932	112	2	0	0	NUM
ejpam-5932	112	3	,	,	PUNCT
ejpam-5932	112	4	(	(	PUNCT
ejpam-5932	112	5	26	26	NUM
ejpam-5932	112	6	)	)	PUNCT
ejpam-5932	112	7	which	which	PRON
ejpam-5932	112	8	follows	follow	VERB
ejpam-5932	112	9	from	from	ADP
ejpam-5932	112	10	the	the	DET
ejpam-5932	112	11	hs	hs	PROPN
ejpam-5932	112	12	method	method	PROPN
ejpam-5932	112	13	’s	’s	PART
ejpam-5932	112	14	descent	descent	NOUN
ejpam-5932	112	15	property	property	NOUN
ejpam-5932	112	16	from	from	ADP
ejpam-5932	112	17	the	the	DET
ejpam-5932	112	18	inequality	inequality	NOUN
ejpam-5932	112	19	:	:	PUNCT
ejpam-5932	112	20	gtk+1yk	gtk+1yk	NOUN
ejpam-5932	112	21	≤	≤	NUM
ejpam-5932	112	22	∥gk+1∥∥yk∥.	∥gk+1∥∥yk∥.	ADJ
ejpam-5932	112	23	−∥gk+1∥2	−∥gk+1∥2	PROPN
ejpam-5932	112	24	+	+	CCONJ
ejpam-5932	112	25	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	112	26	dtk	dtk	PROPN
ejpam-5932	112	27	yk	yk	PROPN
ejpam-5932	112	28	dtk	dtk	PROPN
ejpam-5932	112	29	yk	yk	PROPN
ejpam-5932	112	30	≤	≤	PROPN
ejpam-5932	112	31	−∥gk+1∥2	−∥gk+1∥2	PROPN
ejpam-5932	112	32	+	+	CCONJ
ejpam-5932	112	33	∥gk+1∥∥yk∥.	∥gk+1∥∥yk∥.	ADJ
ejpam-5932	112	34	a.	a.	NOUN
ejpam-5932	112	35	l.	l.	PROPN
ejpam-5932	112	36	ibrahim	ibrahim	PROPN
ejpam-5932	112	37	et	et	PROPN
ejpam-5932	112	38	al	al	PROPN
ejpam-5932	112	39	.	.	PUNCT
ejpam-5932	112	40	/	/	SYM
ejpam-5932	112	41	eur	eur	PROPN
ejpam-5932	112	42	.	.	PUNCT
ejpam-5932	113	1	j.	j.	PROPN
ejpam-5932	113	2	pure	pure	PROPN
ejpam-5932	113	3	appl	appl	PROPN
ejpam-5932	113	4	.	.	PROPN
ejpam-5932	113	5	math	math	PROPN
ejpam-5932	113	6	,	,	PUNCT
ejpam-5932	113	7	18	18	NUM
ejpam-5932	113	8	(	(	PUNCT
ejpam-5932	113	9	2	2	NUM
ejpam-5932	113	10	)	)	PUNCT
ejpam-5932	113	11	(	(	PUNCT
ejpam-5932	113	12	2025	2025	NUM
ejpam-5932	113	13	)	)	PUNCT
ejpam-5932	113	14	,	,	PUNCT
ejpam-5932	113	15	5932	5932	NUM
ejpam-5932	113	16	6	6	NUM
ejpam-5932	113	17	of	of	ADP
ejpam-5932	113	18	15	15	NUM
ejpam-5932	113	19	gtk+1dk+1	gtk+1dk+1	NUM
ejpam-5932	113	20	≤	≤	NUM
ejpam-5932	113	21	−	−	NOUN
ejpam-5932	113	22	(	(	PUNCT
ejpam-5932	113	23	1−	1−	NUM
ejpam-5932	113	24	∥yk∥	∥yk∥	NUM
ejpam-5932	113	25	∥gk+1∥	∥gk+1∥	NUM
ejpam-5932	113	26	)	)	PUNCT
ejpam-5932	114	1	∥gk+1∥.	∥gk+1∥.	PROPN
ejpam-5932	114	2	since	since	SCONJ
ejpam-5932	114	3	0	0	NUM
ejpam-5932	114	4	≤	≤	NUM
ejpam-5932	114	5	∥yk∥	∥yk∥	PUNCT
ejpam-5932	114	6	∥gk+1∥	∥gk+1∥	NUM
ejpam-5932	114	7	≤	≤	NUM
ejpam-5932	114	8	1	1	NUM
ejpam-5932	114	9	,	,	PUNCT
ejpam-5932	114	10	we	we	PRON
ejpam-5932	114	11	have	have	VERB
ejpam-5932	114	12	:	:	PUNCT
ejpam-5932	114	13	−∥gk+1∥2	−∥gk+1∥2	PROPN
ejpam-5932	114	14	+	+	CCONJ
ejpam-5932	114	15	gtk+1yk	gtk+1yk	PROPN
ejpam-5932	114	16	dtk	dtk	PROPN
ejpam-5932	114	17	yk	yk	PROPN
ejpam-5932	114	18	dtk	dtk	PROPN
ejpam-5932	114	19	yk	yk	PROPN
ejpam-5932	114	20	≤	≤	PROPN
ejpam-5932	114	21	0	0	NUM
ejpam-5932	114	22	.	.	PUNCT
ejpam-5932	115	1	it	it	PRON
ejpam-5932	115	2	remains	remain	VERB
ejpam-5932	115	3	to	to	PART
ejpam-5932	115	4	prove	prove	VERB
ejpam-5932	115	5	that	that	SCONJ
ejpam-5932	115	6	the	the	DET
ejpam-5932	115	7	third	third	ADJ
ejpam-5932	115	8	term	term	NOUN
ejpam-5932	115	9	of	of	ADP
ejpam-5932	115	10	(	(	PUNCT
ejpam-5932	115	11	24	24	NUM
ejpam-5932	115	12	)	)	PUNCT
ejpam-5932	115	13	is	be	AUX
ejpam-5932	115	14	less	less	ADJ
ejpam-5932	115	15	than	than	ADP
ejpam-5932	115	16	or	or	CCONJ
ejpam-5932	115	17	equal	equal	ADJ
ejpam-5932	115	18	to	to	ADP
ejpam-5932	115	19	zero	zero	NUM
ejpam-5932	115	20	.	.	PUNCT
ejpam-5932	116	1	since	since	SCONJ
ejpam-5932	116	2	σ	σ	NOUN
ejpam-5932	116	3	=	=	SYM
ejpam-5932	116	4	2	2	NUM
ejpam-5932	116	5	√	√	NUM
ejpam-5932	116	6	ϵm(1+∥xk+1∥	ϵm(1+∥xk+1∥	PROPN
ejpam-5932	116	7	)	)	PUNCT
ejpam-5932	116	8	∥vk∥	∥vk∥	NOUN
ejpam-5932	116	9	≥	≥	NOUN
ejpam-5932	116	10	0	0	NUM
ejpam-5932	116	11	and	and	CCONJ
ejpam-5932	116	12	0	0	NUM
ejpam-5932	116	13	<	<	X
ejpam-5932	116	14	θ	θ	X
ejpam-5932	116	15	<	<	X
ejpam-5932	116	16	1	1	NUM
ejpam-5932	116	17	.	.	PUNCT
ejpam-5932	116	18	thus	thus	ADV
ejpam-5932	116	19	,	,	PUNCT
ejpam-5932	116	20	we	we	PRON
ejpam-5932	116	21	conclude	conclude	VERB
ejpam-5932	116	22	that	that	PRON
ejpam-5932	116	23	:	:	PUNCT
ejpam-5932	117	1	σ	σ	PROPN
ejpam-5932	117	2	(	(	PUNCT
ejpam-5932	117	3	1−	1−	NUM
ejpam-5932	117	4	θ	θ	NOUN
ejpam-5932	117	5	)	)	PUNCT
ejpam-5932	118	1	+	+	CCONJ
ejpam-5932	118	2	σθ	σθ	ADP
ejpam-5932	118	3	≥	≥	NOUN
ejpam-5932	118	4	0	0	NUM
ejpam-5932	118	5	.	.	PUNCT
ejpam-5932	118	6	(	(	PUNCT
ejpam-5932	118	7	27	27	NUM
ejpam-5932	118	8	)	)	PUNCT
ejpam-5932	118	9	therefore	therefore	ADV
ejpam-5932	118	10	,	,	PUNCT
ejpam-5932	118	11	equation	equation	NOUN
ejpam-5932	118	12	(	(	PUNCT
ejpam-5932	118	13	24	24	NUM
ejpam-5932	118	14	)	)	PUNCT
ejpam-5932	118	15	can	can	AUX
ejpam-5932	118	16	be	be	AUX
ejpam-5932	118	17	rewritten	rewrite	VERB
ejpam-5932	118	18	as	as	ADP
ejpam-5932	118	19	:	:	PUNCT
ejpam-5932	118	20	gtk+1dk+1	gtk+1dk+1	NUM
ejpam-5932	118	21	≤	≤	ADV
ejpam-5932	118	22	−	−	PROPN
ejpam-5932	118	23	(	(	PUNCT
ejpam-5932	118	24	σαk	σαk	PROPN
ejpam-5932	118	25	(	(	PUNCT
ejpam-5932	118	26	1−	1−	NUM
ejpam-5932	118	27	θ	θ	NOUN
ejpam-5932	118	28	)	)	PUNCT
ejpam-5932	119	1	+	+	CCONJ
ejpam-5932	119	2	σθ	σθ	NOUN
ejpam-5932	119	3	)	)	PUNCT
ejpam-5932	119	4	(	(	PUNCT
ejpam-5932	119	5	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	119	6	)	)	PUNCT
ejpam-5932	119	7	2	2	NUM
ejpam-5932	119	8	dtk	dtk	PROPN
ejpam-5932	119	9	yk	yk	PROPN
ejpam-5932	119	10	.	.	PUNCT
ejpam-5932	120	1	(	(	PUNCT
ejpam-5932	120	2	28	28	NUM
ejpam-5932	120	3	)	)	PUNCT
ejpam-5932	120	4	since	since	SCONJ
ejpam-5932	120	5	αk	αk	NOUN
ejpam-5932	120	6	,	,	PUNCT
ejpam-5932	120	7	d	d	PROPN
ejpam-5932	120	8	t	t	PROPN
ejpam-5932	120	9	k	k	PROPN
ejpam-5932	120	10	yk	yk	PROPN
ejpam-5932	120	11	,	,	PUNCT
ejpam-5932	120	12	and	and	CCONJ
ejpam-5932	120	13	(	(	PUNCT
ejpam-5932	120	14	gtk+1dk	gtk+1dk	PROPN
ejpam-5932	120	15	)	)	PUNCT
ejpam-5932	120	16	2	2	NUM
ejpam-5932	120	17	are	be	AUX
ejpam-5932	120	18	non	non	ADJ
ejpam-5932	120	19	-	-	ADJ
ejpam-5932	120	20	negative	negative	ADJ
ejpam-5932	120	21	,	,	PUNCT
ejpam-5932	120	22	we	we	PRON
ejpam-5932	120	23	obtain	obtain	VERB
ejpam-5932	120	24	:	:	PUNCT
ejpam-5932	120	25	gtk+1dk+1	gtk+1dk+1	VERB
ejpam-5932	120	26	≤	≤	NUM
ejpam-5932	120	27	0	0	NUM
ejpam-5932	120	28	.	.	PUNCT
ejpam-5932	121	1	(	(	PUNCT
ejpam-5932	121	2	29	29	NUM
ejpam-5932	121	3	)	)	PUNCT
ejpam-5932	121	4	this	this	PRON
ejpam-5932	121	5	completes	complete	VERB
ejpam-5932	121	6	the	the	DET
ejpam-5932	121	7	proof	proof	NOUN
ejpam-5932	121	8	.	.	PUNCT
ejpam-5932	122	1	4	4	X
ejpam-5932	122	2	.	.	X
ejpam-5932	122	3	convergence	convergence	NOUN
ejpam-5932	122	4	condition	condition	NOUN
ejpam-5932	122	5	for	for	ADP
ejpam-5932	122	6	the	the	DET
ejpam-5932	122	7	new	new	ADJ
ejpam-5932	122	8	method	method	NOUN
ejpam-5932	122	9	this	this	DET
ejpam-5932	122	10	section	section	NOUN
ejpam-5932	122	11	discusses	discuss	VERB
ejpam-5932	122	12	the	the	DET
ejpam-5932	122	13	convergence	convergence	NOUN
ejpam-5932	122	14	properties	property	NOUN
ejpam-5932	122	15	of	of	ADP
ejpam-5932	122	16	the	the	DET
ejpam-5932	122	17	proposed	propose	VERB
ejpam-5932	122	18	algorithm	algorithm	NOUN
ejpam-5932	122	19	.	.	PUNCT
ejpam-5932	123	1	we	we	PRON
ejpam-5932	123	2	introduce	introduce	VERB
ejpam-5932	123	3	the	the	DET
ejpam-5932	123	4	following	following	ADJ
ejpam-5932	123	5	mild	mild	ADJ
ejpam-5932	123	6	assumptions	assumption	NOUN
ejpam-5932	123	7	in	in	ADP
ejpam-5932	123	8	order	order	NOUN
ejpam-5932	123	9	to	to	PART
ejpam-5932	123	10	achieve	achieve	VERB
ejpam-5932	123	11	global	global	ADJ
ejpam-5932	123	12	convergence	convergence	NOUN
ejpam-5932	123	13	.	.	PUNCT
ejpam-5932	124	1	assumption	assumption	NOUN
ejpam-5932	124	2	1	1	NUM
ejpam-5932	124	3	:	:	SYM
ejpam-5932	124	4	•	•	ADP
ejpam-5932	124	5	the	the	DET
ejpam-5932	124	6	level	level	NOUN
ejpam-5932	124	7	set	set	NOUN
ejpam-5932	124	8	s	s	PART
ejpam-5932	124	9	=	=	PUNCT
ejpam-5932	124	10	{	{	PUNCT
ejpam-5932	124	11	x	x	X
ejpam-5932	124	12	|	|	ADV
ejpam-5932	124	13	f(x	f(x	PROPN
ejpam-5932	124	14	)	)	PUNCT
ejpam-5932	124	15	≤	≤	NUM
ejpam-5932	124	16	f(x0	f(x0	NOUN
ejpam-5932	124	17	)	)	PUNCT
ejpam-5932	124	18	}	}	PUNCT
ejpam-5932	124	19	is	be	AUX
ejpam-5932	124	20	bounded	bound	VERB
ejpam-5932	124	21	.	.	PUNCT
ejpam-5932	125	1	•	•	NUM
ejpam-5932	125	2	in	in	ADP
ejpam-5932	125	3	some	some	DET
ejpam-5932	125	4	neighborhood	neighborhood	NOUN
ejpam-5932	125	5	n	n	NOUN
ejpam-5932	125	6	of	of	ADP
ejpam-5932	125	7	δ	δ	PROPN
ejpam-5932	125	8	,	,	PUNCT
ejpam-5932	125	9	f	f	PROPN
ejpam-5932	125	10	is	be	AUX
ejpam-5932	125	11	continuously	continuously	ADV
ejpam-5932	125	12	differentiable	differentiable	ADJ
ejpam-5932	125	13	,	,	PUNCT
ejpam-5932	125	14	and	and	CCONJ
ejpam-5932	125	15	its	its	PRON
ejpam-5932	125	16	gradient	gradient	NOUN
ejpam-5932	125	17	is	be	AUX
ejpam-5932	125	18	lipschitz	lipschitz	NOUN
ejpam-5932	125	19	continuous	continuous	ADJ
ejpam-5932	125	20	with	with	ADP
ejpam-5932	125	21	a	a	DET
ejpam-5932	125	22	lipschitz	lipschitz	NOUN
ejpam-5932	125	23	constant	constant	ADJ
ejpam-5932	125	24	l	l	NOUN
ejpam-5932	125	25	>	>	X
ejpam-5932	126	1	0	0	X
ejpam-5932	126	2	.	.	PUNCT
ejpam-5932	127	1	that	that	PRON
ejpam-5932	127	2	is	is	ADV
ejpam-5932	127	3	,	,	PUNCT
ejpam-5932	127	4	∥g(x)−	∥g(x)−	X
ejpam-5932	127	5	g(y)∥	g(y)∥	VERB
ejpam-5932	127	6	≤	≤	PUNCT
ejpam-5932	127	7	l∥x−	l∥x−	ADV
ejpam-5932	127	8	y∥	y∥	VERB
ejpam-5932	127	9	∀x	∀x	NUM
ejpam-5932	127	10	,	,	PUNCT
ejpam-5932	127	11	y	y	PROPN
ejpam-5932	127	12	∈	∈	PROPN
ejpam-5932	127	13	s	s	X
ejpam-5932	127	14	(	(	PUNCT
ejpam-5932	127	15	30	30	NUM
ejpam-5932	127	16	)	)	PUNCT
ejpam-5932	127	17	from	from	ADP
ejpam-5932	127	18	these	these	DET
ejpam-5932	127	19	assumptions	assumption	NOUN
ejpam-5932	127	20	,	,	PUNCT
ejpam-5932	127	21	it	it	PRON
ejpam-5932	127	22	follows	follow	VERB
ejpam-5932	127	23	that	that	SCONJ
ejpam-5932	127	24	there	there	PRON
ejpam-5932	127	25	exists	exist	VERB
ejpam-5932	127	26	a	a	DET
ejpam-5932	127	27	positive	positive	ADJ
ejpam-5932	127	28	constant	constant	ADJ
ejpam-5932	127	29	b	b	NOUN
ejpam-5932	127	30	such	such	ADJ
ejpam-5932	127	31	that	that	DET
ejpam-5932	127	32	∥g(x)∥	∥g(x)∥	PROPN
ejpam-5932	127	33	≤	≤	PROPN
ejpam-5932	127	34	b	b	PROPN
ejpam-5932	127	35	∀x	∀x	X
ejpam-5932	127	36	∈	∈	PROPN
ejpam-5932	127	37	s.	s.	PROPN
ejpam-5932	127	38	(	(	PUNCT
ejpam-5932	127	39	31	31	NUM
ejpam-5932	127	40	)	)	PUNCT
ejpam-5932	127	41	based	base	VERB
ejpam-5932	127	42	on	on	ADP
ejpam-5932	127	43	these	these	DET
ejpam-5932	127	44	assumptions	assumption	NOUN
ejpam-5932	127	45	,	,	PUNCT
ejpam-5932	127	46	the	the	DET
ejpam-5932	127	47	global	global	ADJ
ejpam-5932	127	48	convergence	convergence	NOUN
ejpam-5932	127	49	of	of	ADP
ejpam-5932	127	50	the	the	DET
ejpam-5932	127	51	new	new	ADJ
ejpam-5932	127	52	algorithm	algorithm	NOUN
ejpam-5932	127	53	can	can	AUX
ejpam-5932	127	54	be	be	AUX
ejpam-5932	127	55	established	establish	VERB
ejpam-5932	127	56	as	as	SCONJ
ejpam-5932	127	57	follows	follow	VERB
ejpam-5932	127	58	:	:	PUNCT
ejpam-5932	128	1	a.	a.	PROPN
ejpam-5932	128	2	l.	l.	PROPN
ejpam-5932	128	3	ibrahim	ibrahim	PROPN
ejpam-5932	128	4	et	et	PROPN
ejpam-5932	128	5	al	al	PROPN
ejpam-5932	128	6	.	.	PUNCT
ejpam-5932	128	7	/	/	SYM
ejpam-5932	128	8	eur	eur	PROPN
ejpam-5932	128	9	.	.	PUNCT
ejpam-5932	129	1	j.	j.	PROPN
ejpam-5932	129	2	pure	pure	PROPN
ejpam-5932	129	3	appl	appl	PROPN
ejpam-5932	129	4	.	.	PROPN
ejpam-5932	129	5	math	math	PROPN
ejpam-5932	129	6	,	,	PUNCT
ejpam-5932	129	7	18	18	NUM
ejpam-5932	129	8	(	(	PUNCT
ejpam-5932	129	9	2	2	NUM
ejpam-5932	129	10	)	)	PUNCT
ejpam-5932	129	11	(	(	PUNCT
ejpam-5932	129	12	2025	2025	NUM
ejpam-5932	129	13	)	)	PUNCT
ejpam-5932	129	14	,	,	PUNCT
ejpam-5932	129	15	5932	5932	NUM
ejpam-5932	129	16	7	7	NUM
ejpam-5932	129	17	of	of	ADP
ejpam-5932	129	18	15	15	NUM
ejpam-5932	129	19	lemma	lemma	PROPN
ejpam-5932	129	20	1	1	NUM
ejpam-5932	129	21	.	.	PUNCT
ejpam-5932	130	1	[	[	X
ejpam-5932	130	2	31	31	NUM
ejpam-5932	130	3	]	]	PUNCT
ejpam-5932	130	4	let	let	VERB
ejpam-5932	130	5	assumptions	assumption	NOUN
ejpam-5932	130	6	1	1	NUM
ejpam-5932	130	7	hold	hold	NOUN
ejpam-5932	130	8	.	.	PUNCT
ejpam-5932	131	1	consider	consider	VERB
ejpam-5932	131	2	methods	method	NOUN
ejpam-5932	131	3	(	(	PUNCT
ejpam-5932	131	4	1	1	NUM
ejpam-5932	131	5	)	)	PUNCT
ejpam-5932	131	6	and	and	CCONJ
ejpam-5932	131	7	(	(	PUNCT
ejpam-5932	131	8	2	2	NUM
ejpam-5932	131	9	)	)	PUNCT
ejpam-5932	131	10	,	,	PUNCT
ejpam-5932	131	11	where	where	SCONJ
ejpam-5932	131	12	dk+1	dk+1	NOUN
ejpam-5932	131	13	is	be	AUX
ejpam-5932	131	14	a	a	DET
ejpam-5932	131	15	descent	descent	NOUN
ejpam-5932	131	16	direction	direction	NOUN
ejpam-5932	131	17	,	,	PUNCT
ejpam-5932	131	18	and	and	CCONJ
ejpam-5932	131	19	αk	αk	SCONJ
ejpam-5932	131	20	satisfies	satisfy	VERB
ejpam-5932	131	21	the	the	DET
ejpam-5932	131	22	standard	standard	ADJ
ejpam-5932	131	23	wolfe	wolfe	PROPN
ejpam-5932	131	24	line	line	PROPN
ejpam-5932	131	25	search	search	NOUN
ejpam-5932	131	26	.	.	PUNCT
ejpam-5932	132	1	if∑	if∑	NOUN
ejpam-5932	132	2	k≥1	k≥1	NOUN
ejpam-5932	132	3	1	1	NUM
ejpam-5932	132	4	∥dk+1∥2	∥dk+1∥2	NOUN
ejpam-5932	132	5	=	=	SYM
ejpam-5932	132	6	∞	∞	PROPN
ejpam-5932	132	7	,	,	PUNCT
ejpam-5932	132	8	(	(	PUNCT
ejpam-5932	132	9	32	32	NUM
ejpam-5932	132	10	)	)	PUNCT
ejpam-5932	132	11	then	then	ADV
ejpam-5932	132	12	lim	lim	PROPN
ejpam-5932	132	13	k→∞	k→∞	PROPN
ejpam-5932	132	14	inf	inf	PROPN
ejpam-5932	132	15	∥gk+1∥	∥gk+1∥	NUM
ejpam-5932	132	16	=	=	NOUN
ejpam-5932	132	17	0	0	NUM
ejpam-5932	132	18	.	.	PUNCT
ejpam-5932	133	1	(	(	PUNCT
ejpam-5932	133	2	33	33	NUM
ejpam-5932	133	3	)	)	PUNCT
ejpam-5932	133	4	based	base	VERB
ejpam-5932	133	5	on	on	ADP
ejpam-5932	133	6	the	the	DET
ejpam-5932	133	7	previous	previous	ADJ
ejpam-5932	133	8	discussion	discussion	NOUN
ejpam-5932	133	9	,	,	PUNCT
ejpam-5932	133	10	we	we	PRON
ejpam-5932	133	11	now	now	ADV
ejpam-5932	133	12	establish	establish	VERB
ejpam-5932	133	13	the	the	DET
ejpam-5932	133	14	global	global	ADJ
ejpam-5932	133	15	convergence	convergence	NOUN
ejpam-5932	133	16	of	of	ADP
ejpam-5932	133	17	the	the	DET
ejpam-5932	133	18	new	new	ADJ
ejpam-5932	133	19	algorithm	algorithm	NOUN
ejpam-5932	133	20	:	:	PUNCT
ejpam-5932	133	21	theorem	theorem	NOUN
ejpam-5932	133	22	2	2	NUM
ejpam-5932	133	23	.	.	PUNCT
ejpam-5932	134	1	if	if	SCONJ
ejpam-5932	134	2	assumptions	assumption	NOUN
ejpam-5932	134	3	1	1	NUM
ejpam-5932	134	4	is	be	AUX
ejpam-5932	134	5	satisfied	satisfied	ADJ
ejpam-5932	134	6	,	,	PUNCT
ejpam-5932	134	7	and	and	CCONJ
ejpam-5932	134	8	the	the	DET
ejpam-5932	134	9	sequences	sequence	NOUN
ejpam-5932	134	10	{	{	PUNCT
ejpam-5932	134	11	xk	xk	NOUN
ejpam-5932	134	12	}	}	PUNCT
ejpam-5932	134	13	,	,	PUNCT
ejpam-5932	134	14	{	{	PUNCT
ejpam-5932	134	15	dk	dk	X
ejpam-5932	134	16	}	}	PUNCT
ejpam-5932	134	17	,	,	PUNCT
ejpam-5932	134	18	{	{	PUNCT
ejpam-5932	134	19	gk	gk	NOUN
ejpam-5932	134	20	}	}	PUNCT
ejpam-5932	134	21	,	,	PUNCT
ejpam-5932	134	22	{	{	PUNCT
ejpam-5932	134	23	αk	αk	AUX
ejpam-5932	134	24	}	}	PUNCT
ejpam-5932	134	25	are	be	AUX
ejpam-5932	134	26	generated	generate	VERB
ejpam-5932	134	27	by	by	ADP
ejpam-5932	134	28	algorithm	algorithm	NOUN
ejpam-5932	134	29	1	1	NUM
ejpam-5932	134	30	,	,	PUNCT
ejpam-5932	134	31	then	then	ADV
ejpam-5932	134	32	it	it	PRON
ejpam-5932	134	33	holds	hold	VERB
ejpam-5932	134	34	that	that	SCONJ
ejpam-5932	134	35	lim	lim	PROPN
ejpam-5932	134	36	k→∞	k→∞	PROPN
ejpam-5932	134	37	inf	inf	PROPN
ejpam-5932	134	38	∥gk+1∥	∥gk+1∥	NUM
ejpam-5932	134	39	=	=	NOUN
ejpam-5932	134	40	0	0	NUM
ejpam-5932	134	41	.	.	PUNCT
ejpam-5932	135	1	(	(	PUNCT
ejpam-5932	135	2	34	34	NUM
ejpam-5932	135	3	)	)	PUNCT
ejpam-5932	135	4	proof	proof	NOUN
ejpam-5932	135	5	.	.	PUNCT
ejpam-5932	136	1	from	from	ADP
ejpam-5932	136	2	equations	equation	NOUN
ejpam-5932	136	3	(	(	PUNCT
ejpam-5932	136	4	2	2	NUM
ejpam-5932	136	5	)	)	PUNCT
ejpam-5932	136	6	and	and	CCONJ
ejpam-5932	136	7	(	(	PUNCT
ejpam-5932	136	8	20	20	NUM
ejpam-5932	136	9	)	)	PUNCT
ejpam-5932	136	10	,	,	PUNCT
ejpam-5932	136	11	we	we	PRON
ejpam-5932	136	12	have	have	VERB
ejpam-5932	136	13	∥dk+1∥	∥dk+1∥	NUM
ejpam-5932	136	14	≤	≤	NUM
ejpam-5932	136	15	∥gk+1∥+	∥gk+1∥+	PUNCT
ejpam-5932	136	16	∣∣∣∣∣gtk+1yk	∣∣∣∣∣gtk+1yk	PROPN
ejpam-5932	136	17	dtk	dtk	PROPN
ejpam-5932	136	18	yk	yk	PROPN
ejpam-5932	136	19	−	−	PROPN
ejpam-5932	136	20	σ	σ	PROPN
ejpam-5932	136	21	(	(	PUNCT
ejpam-5932	136	22	1−	1−	NUM
ejpam-5932	136	23	θ	θ	NOUN
ejpam-5932	136	24	)	)	PUNCT
ejpam-5932	137	1	+	+	CCONJ
ejpam-5932	137	2	σθ	σθ	PROPN
ejpam-5932	137	3	gtk+1vk	gtk+1vk	PROPN
ejpam-5932	137	4	dtk	dtk	PROPN
ejpam-5932	137	5	yk	yk	PROPN
ejpam-5932	137	6	∣∣∣∣∣	∣∣∣∣∣	PROPN
ejpam-5932	137	7	∥dk∥.	∥dk∥.	PROPN
ejpam-5932	137	8	(	(	PUNCT
ejpam-5932	137	9	35	35	NUM
ejpam-5932	137	10	)	)	PUNCT
ejpam-5932	137	11	simplifying	simplify	VERB
ejpam-5932	137	12	this	this	PRON
ejpam-5932	137	13	further	far	ADV
ejpam-5932	137	14	,	,	PUNCT
ejpam-5932	137	15	we	we	PRON
ejpam-5932	137	16	obtain	obtain	VERB
ejpam-5932	137	17	∥dk+1∥	∥dk+1∥	NUM
ejpam-5932	137	18	≤	≤	NUM
ejpam-5932	137	19	∥gk+1∥+	∥gk+1∥+	X
ejpam-5932	138	1	(	(	PUNCT
ejpam-5932	138	2	∣∣∣∣∣gtk+1yk	∣∣∣∣∣gtk+1yk	PROPN
ejpam-5932	138	3	dtk	dtk	PROPN
ejpam-5932	138	4	yk	yk	PROPN
ejpam-5932	138	5	∣∣∣∣∣+	∣∣∣∣∣+	PROPN
ejpam-5932	138	6	σ	σ	PROPN
ejpam-5932	138	7	(	(	PUNCT
ejpam-5932	138	8	1−	1−	NUM
ejpam-5932	138	9	θ	θ	NOUN
ejpam-5932	138	10	)	)	PUNCT
ejpam-5932	138	11	+	+	CCONJ
ejpam-5932	138	12	σθ	σθ	PRON
ejpam-5932	138	13	∣∣∣∣∣gtk+1vk	∣∣∣∣∣gtk+1vk	PROPN
ejpam-5932	138	14	dtk	dtk	PROPN
ejpam-5932	138	15	yk	yk	PROPN
ejpam-5932	138	16	∣∣∣∣∣	∣∣∣∣∣	PROPN
ejpam-5932	138	17	)	)	PUNCT
ejpam-5932	138	18	∥dk∥.	∥dk∥.	PROPN
ejpam-5932	139	1	(	(	PUNCT
ejpam-5932	139	2	36	36	NUM
ejpam-5932	139	3	)	)	PUNCT
ejpam-5932	139	4	since	since	SCONJ
ejpam-5932	139	5	gtk+1vk	gtk+1vk	PROPN
ejpam-5932	139	6	≤	≤	PROPN
ejpam-5932	139	7	αkd	αkd	NOUN
ejpam-5932	139	8	t	t	PROPN
ejpam-5932	139	9	k	k	PROPN
ejpam-5932	139	10	yk	yk	PROPN
ejpam-5932	139	11	,	,	PUNCT
ejpam-5932	139	12	and	and	CCONJ
ejpam-5932	140	1	using	use	VERB
ejpam-5932	140	2	equation	equation	NOUN
ejpam-5932	140	3	(	(	PUNCT
ejpam-5932	140	4	28	28	NUM
ejpam-5932	140	5	)	)	PUNCT
ejpam-5932	140	6	along	along	ADP
ejpam-5932	140	7	with	with	ADP
ejpam-5932	140	8	the	the	DET
ejpam-5932	140	9	lipschitz	lipschitz	NOUN
ejpam-5932	140	10	condition	condition	NOUN
ejpam-5932	140	11	∥yk∥	∥yk∥	PRON
ejpam-5932	140	12	≤	≤	NUM
ejpam-5932	140	13	l∥vk∥	l∥vk∥	NOUN
ejpam-5932	140	14	,	,	PUNCT
ejpam-5932	140	15	we	we	PRON
ejpam-5932	140	16	also	also	ADV
ejpam-5932	140	17	have	have	VERB
ejpam-5932	140	18	gtk+1yk	gtk+1yk	NOUN
ejpam-5932	140	19	≤	≤	PUNCT
ejpam-5932	140	20	lgtk+1dk	lgtk+1dk	PROPN
ejpam-5932	140	21	,	,	PUNCT
ejpam-5932	140	22	where	where	SCONJ
ejpam-5932	140	23	l	l	NOUN
ejpam-5932	140	24	>	>	X
ejpam-5932	140	25	0	0	X
ejpam-5932	140	26	.	.	PUNCT
ejpam-5932	141	1	therefore	therefore	ADV
ejpam-5932	141	2	,	,	PUNCT
ejpam-5932	141	3	∥dk+1∥	∥dk+1∥	NOUN
ejpam-5932	141	4	≤	≤	NUM
ejpam-5932	141	5	m	m	VERB
ejpam-5932	141	6	+	+	CCONJ
ejpam-5932	141	7	(	(	PUNCT
ejpam-5932	141	8	l+	l+	PUNCT
ejpam-5932	141	9	σαk	σαk	PROPN
ejpam-5932	141	10	(	(	PUNCT
ejpam-5932	141	11	1−	1−	NUM
ejpam-5932	141	12	θ	θ	NOUN
ejpam-5932	141	13	)	)	PUNCT
ejpam-5932	142	1	+	+	CCONJ
ejpam-5932	142	2	σθ	σθ	NOUN
ejpam-5932	142	3	)	)	PUNCT
ejpam-5932	142	4	∥dk∥.	∥dk∥.	PROPN
ejpam-5932	142	5	(	(	PUNCT
ejpam-5932	142	6	37	37	NUM
ejpam-5932	142	7	)	)	PUNCT
ejpam-5932	142	8	since	since	SCONJ
ejpam-5932	142	9	∥vk∥	∥vk∥	NOUN
ejpam-5932	142	10	=	=	SYM
ejpam-5932	143	1	∥x−	∥x−	PROPN
ejpam-5932	143	2	xk∥	xk∥	PROPN
ejpam-5932	143	3	and	and	CCONJ
ejpam-5932	143	4	d	d	PROPN
ejpam-5932	143	5	=	=	PUNCT
ejpam-5932	144	1	max{∥x−	max{∥x−	PROPN
ejpam-5932	144	2	xk∥	xk∥	PROPN
ejpam-5932	144	3	|	|	ADV
ejpam-5932	144	4	∀x	∀x	NUM
ejpam-5932	144	5	,	,	PUNCT
ejpam-5932	144	6	xk	xk	PROPN
ejpam-5932	144	7	∈	∈	PROPN
ejpam-5932	144	8	r	r	X
ejpam-5932	144	9	}	}	PUNCT
ejpam-5932	144	10	,	,	PUNCT
ejpam-5932	144	11	equation	equation	NOUN
ejpam-5932	144	12	(	(	PUNCT
ejpam-5932	144	13	37	37	NUM
ejpam-5932	144	14	)	)	PUNCT
ejpam-5932	144	15	becomes	become	VERB
ejpam-5932	144	16	∥dk+1∥	∥dk+1∥	NUM
ejpam-5932	144	17	≤	≤	NUM
ejpam-5932	144	18	m	m	VERB
ejpam-5932	145	1	+	+	PUNCT
ejpam-5932	146	1	(	(	PUNCT
ejpam-5932	146	2	l+	l+	PUNCT
ejpam-5932	146	3	σαk	σαk	PROPN
ejpam-5932	146	4	(	(	PUNCT
ejpam-5932	146	5	1−	1−	NUM
ejpam-5932	146	6	θ	θ	NOUN
ejpam-5932	146	7	)	)	PUNCT
ejpam-5932	146	8	+	+	CCONJ
ejpam-5932	146	9	σθ	σθ	NOUN
ejpam-5932	146	10	)	)	PUNCT
ejpam-5932	146	11	d	d	X
ejpam-5932	146	12	=	=	SYM
ejpam-5932	146	13	ϕ.	ϕ.	PROPN
ejpam-5932	146	14	(	(	PUNCT
ejpam-5932	146	15	38	38	NUM
ejpam-5932	146	16	)	)	PUNCT
ejpam-5932	146	17	thus	thus	ADV
ejpam-5932	146	18	,	,	PUNCT
ejpam-5932	146	19	we	we	PRON
ejpam-5932	146	20	have	have	VERB
ejpam-5932	146	21	∑	∑	ADV
ejpam-5932	146	22	k≥1	k≥1	PROPN
ejpam-5932	146	23	1	1	NUM
ejpam-5932	146	24	∥dk+1∥2	∥dk+1∥2	ADJ
ejpam-5932	146	25	≥	≥	NOUN
ejpam-5932	146	26	∑	∑	PUNCT
ejpam-5932	146	27	k≥1	k≥1	PROPN
ejpam-5932	146	28	1	1	NUM
ejpam-5932	146	29	ϕ2	ϕ2	ADV
ejpam-5932	146	30	=	=	SYM
ejpam-5932	146	31	∞	∞	PROPN
ejpam-5932	146	32	,	,	PUNCT
ejpam-5932	146	33	(	(	PUNCT
ejpam-5932	146	34	39	39	NUM
ejpam-5932	146	35	)	)	PUNCT
ejpam-5932	146	36	which	which	PRON
ejpam-5932	146	37	implies	imply	VERB
ejpam-5932	146	38	∑	∑	PUNCT
ejpam-5932	146	39	k≥1	k≥1	PROPN
ejpam-5932	146	40	1	1	NUM
ejpam-5932	146	41	∥dk+1∥2	∥dk+1∥2	NOUN
ejpam-5932	146	42	=	=	SYM
ejpam-5932	146	43	∞.	∞.	PROPN
ejpam-5932	146	44	(	(	PUNCT
ejpam-5932	146	45	40	40	NUM
ejpam-5932	146	46	)	)	PUNCT
ejpam-5932	146	47	by	by	ADP
ejpam-5932	146	48	lemma	lemma	PROPN
ejpam-5932	146	49	1	1	NUM
ejpam-5932	146	50	,	,	PUNCT
ejpam-5932	146	51	we	we	PRON
ejpam-5932	146	52	conclude	conclude	VERB
ejpam-5932	146	53	that	that	SCONJ
ejpam-5932	146	54	lim	lim	PROPN
ejpam-5932	146	55	k→∞	k→∞	PROPN
ejpam-5932	146	56	inf	inf	PROPN
ejpam-5932	146	57	∥gk∥	∥gk∥	PROPN
ejpam-5932	146	58	=	=	SYM
ejpam-5932	146	59	0	0	NUM
ejpam-5932	146	60	,	,	PUNCT
ejpam-5932	146	61	(	(	PUNCT
ejpam-5932	146	62	41	41	NUM
ejpam-5932	146	63	)	)	PUNCT
ejpam-5932	146	64	which	which	PRON
ejpam-5932	146	65	completes	complete	VERB
ejpam-5932	146	66	the	the	DET
ejpam-5932	146	67	proof	proof	NOUN
ejpam-5932	146	68	.	.	PUNCT
ejpam-5932	147	1	a.	a.	PROPN
ejpam-5932	147	2	l.	l.	PROPN
ejpam-5932	147	3	ibrahim	ibrahim	PROPN
ejpam-5932	147	4	et	et	PROPN
ejpam-5932	147	5	al	al	PROPN
ejpam-5932	147	6	.	.	PUNCT
ejpam-5932	147	7	/	/	SYM
ejpam-5932	147	8	eur	eur	PROPN
ejpam-5932	147	9	.	.	PUNCT
ejpam-5932	148	1	j.	j.	PROPN
ejpam-5932	148	2	pure	pure	PROPN
ejpam-5932	148	3	appl	appl	PROPN
ejpam-5932	148	4	.	.	PROPN
ejpam-5932	148	5	math	math	PROPN
ejpam-5932	148	6	,	,	PUNCT
ejpam-5932	148	7	18	18	NUM
ejpam-5932	148	8	(	(	PUNCT
ejpam-5932	148	9	2	2	NUM
ejpam-5932	148	10	)	)	PUNCT
ejpam-5932	148	11	(	(	PUNCT
ejpam-5932	148	12	2025	2025	NUM
ejpam-5932	148	13	)	)	PUNCT
ejpam-5932	148	14	,	,	PUNCT
ejpam-5932	148	15	5932	5932	NUM
ejpam-5932	148	16	8	8	NUM
ejpam-5932	148	17	of	of	ADP
ejpam-5932	148	18	15	15	NUM
ejpam-5932	148	19	5	5	NUM
ejpam-5932	148	20	.	.	PUNCT
ejpam-5932	148	21	numerical	numerical	ADJ
ejpam-5932	148	22	experiments	experiment	NOUN
ejpam-5932	148	23	in	in	ADP
ejpam-5932	148	24	this	this	DET
ejpam-5932	148	25	section	section	NOUN
ejpam-5932	148	26	,	,	PUNCT
ejpam-5932	148	27	we	we	PRON
ejpam-5932	148	28	present	present	VERB
ejpam-5932	148	29	the	the	DET
ejpam-5932	148	30	computational	computational	ADJ
ejpam-5932	148	31	performance	performance	NOUN
ejpam-5932	148	32	of	of	ADP
ejpam-5932	148	33	a	a	DET
ejpam-5932	148	34	matlab	matlab	NOUN
ejpam-5932	148	35	implementation	implementation	NOUN
ejpam-5932	148	36	of	of	ADP
ejpam-5932	148	37	the	the	DET
ejpam-5932	148	38	cg	cg	NOUN
ejpam-5932	148	39	algorithm	algorithm	NOUN
ejpam-5932	148	40	on	on	ADP
ejpam-5932	148	41	a	a	DET
ejpam-5932	148	42	set	set	NOUN
ejpam-5932	148	43	of	of	ADP
ejpam-5932	148	44	unconstrained	unconstrained	ADJ
ejpam-5932	148	45	optimization	optimization	NOUN
ejpam-5932	148	46	test	test	NOUN
ejpam-5932	148	47	problems	problem	NOUN
ejpam-5932	148	48	from	from	ADP
ejpam-5932	148	49	the	the	DET
ejpam-5932	148	50	cute	cute	ADJ
ejpam-5932	148	51	library	library	NOUN
ejpam-5932	148	52	[	[	X
ejpam-5932	148	53	32	32	NUM
ejpam-5932	148	54	,	,	PUNCT
ejpam-5932	148	55	33	33	NUM
ejpam-5932	148	56	]	]	PUNCT
ejpam-5932	148	57	and	and	CCONJ
ejpam-5932	148	58	other	other	ADJ
ejpam-5932	148	59	sources	source	NOUN
ejpam-5932	148	60	of	of	ADP
ejpam-5932	148	61	unconstrained	unconstrained	ADJ
ejpam-5932	148	62	problem	problem	NOUN
ejpam-5932	148	63	sets	set	VERB
ejpam-5932	148	64	[	[	X
ejpam-5932	148	65	34	34	NUM
ejpam-5932	148	66	]	]	PUNCT
ejpam-5932	148	67	.	.	PUNCT
ejpam-5932	149	1	these	these	DET
ejpam-5932	149	2	problems	problem	NOUN
ejpam-5932	149	3	represent	represent	VERB
ejpam-5932	149	4	a	a	DET
ejpam-5932	149	5	wide	wide	ADJ
ejpam-5932	149	6	range	range	NOUN
ejpam-5932	149	7	of	of	ADP
ejpam-5932	149	8	problem	problem	NOUN
ejpam-5932	149	9	dimensions	dimension	NOUN
ejpam-5932	149	10	,	,	PUNCT
ejpam-5932	149	11	from	from	ADP
ejpam-5932	149	12	small	small	ADJ
ejpam-5932	149	13	-	-	PUNCT
ejpam-5932	149	14	scale	scale	NOUN
ejpam-5932	149	15	cases	case	NOUN
ejpam-5932	149	16	to	to	ADP
ejpam-5932	149	17	large	large	ADJ
ejpam-5932	149	18	-	-	PUNCT
ejpam-5932	149	19	scale	scale	NOUN
ejpam-5932	149	20	cases	case	NOUN
ejpam-5932	149	21	.	.	PUNCT
ejpam-5932	150	1	this	this	DET
ejpam-5932	150	2	comparison	comparison	NOUN
ejpam-5932	150	3	is	be	AUX
ejpam-5932	150	4	based	base	VERB
ejpam-5932	150	5	on	on	ADP
ejpam-5932	150	6	several	several	ADJ
ejpam-5932	150	7	performance	performance	NOUN
ejpam-5932	150	8	metrics	metric	NOUN
ejpam-5932	150	9	:	:	PUNCT
ejpam-5932	150	10	the	the	DET
ejpam-5932	150	11	number	number	NOUN
ejpam-5932	150	12	of	of	ADP
ejpam-5932	150	13	iterations	iteration	NOUN
ejpam-5932	150	14	(	(	PUNCT
ejpam-5932	150	15	ni	ni	NOUN
ejpam-5932	150	16	)	)	PUNCT
ejpam-5932	150	17	,	,	PUNCT
ejpam-5932	150	18	the	the	DET
ejpam-5932	150	19	total	total	ADJ
ejpam-5932	150	20	frequency	frequency	NOUN
ejpam-5932	150	21	of	of	ADP
ejpam-5932	150	22	objective	objective	ADJ
ejpam-5932	150	23	function	function	NOUN
ejpam-5932	150	24	evaluations	evaluation	NOUN
ejpam-5932	150	25	(	(	PUNCT
ejpam-5932	150	26	nf	nf	INTJ
ejpam-5932	150	27	)	)	PUNCT
ejpam-5932	150	28	,	,	PUNCT
ejpam-5932	150	29	and	and	CCONJ
ejpam-5932	150	30	the	the	DET
ejpam-5932	150	31	cpu	cpu	ADJ
ejpam-5932	150	32	time	time	NOUN
ejpam-5932	150	33	(	(	PUNCT
ejpam-5932	150	34	cput	cput	NOUN
ejpam-5932	150	35	)	)	PUNCT
ejpam-5932	150	36	in	in	ADP
ejpam-5932	150	37	seconds	second	NOUN
ejpam-5932	150	38	.	.	PUNCT
ejpam-5932	151	1	the	the	DET
ejpam-5932	151	2	computational	computational	ADJ
ejpam-5932	151	3	performance	performance	NOUN
ejpam-5932	151	4	of	of	ADP
ejpam-5932	151	5	the	the	DET
ejpam-5932	151	6	proposed	propose	VERB
ejpam-5932	151	7	methods	method	NOUN
ejpam-5932	151	8	is	be	AUX
ejpam-5932	151	9	compared	compare	VERB
ejpam-5932	151	10	with	with	ADP
ejpam-5932	151	11	the	the	DET
ejpam-5932	151	12	hs	hs	PROPN
ejpam-5932	151	13	and	and	CCONJ
ejpam-5932	151	14	perry	perry	PROPN
ejpam-5932	151	15	methods	method	NOUN
ejpam-5932	151	16	.	.	PUNCT
ejpam-5932	152	1	each	each	DET
ejpam-5932	152	2	algorithm	algorithm	NOUN
ejpam-5932	152	3	applied	apply	VERB
ejpam-5932	152	4	the	the	DET
ejpam-5932	152	5	strong	strong	ADJ
ejpam-5932	152	6	wolfe	wolfe	PROPN
ejpam-5932	152	7	line	line	NOUN
ejpam-5932	152	8	search	search	NOUN
ejpam-5932	152	9	conditions	condition	NOUN
ejpam-5932	152	10	,	,	PUNCT
ejpam-5932	152	11	with	with	ADP
ejpam-5932	152	12	parameters	parameter	NOUN
ejpam-5932	152	13	set	set	VERB
ejpam-5932	152	14	to	to	ADP
ejpam-5932	152	15	δ	δ	X
ejpam-5932	152	16	=	=	NOUN
ejpam-5932	152	17	0.01	0.01	NUM
ejpam-5932	152	18	and	and	CCONJ
ejpam-5932	152	19	µ	µ	X
ejpam-5932	152	20	=	=	SYM
ejpam-5932	152	21	0.3	0.3	NUM
ejpam-5932	152	22	.	.	PUNCT
ejpam-5932	153	1	iterations	iteration	NOUN
ejpam-5932	153	2	were	be	AUX
ejpam-5932	153	3	terminated	terminate	VERB
ejpam-5932	153	4	if	if	SCONJ
ejpam-5932	153	5	any	any	PRON
ejpam-5932	153	6	of	of	ADP
ejpam-5932	153	7	the	the	DET
ejpam-5932	153	8	following	follow	VERB
ejpam-5932	153	9	conditions	condition	NOUN
ejpam-5932	153	10	were	be	AUX
ejpam-5932	153	11	satisfied	satisfied	ADJ
ejpam-5932	153	12	:	:	PUNCT
ejpam-5932	153	13	•	•	X
ejpam-5932	153	14	∥gk∥	∥gk∥	NOUN
ejpam-5932	153	15	<	<	X
ejpam-5932	153	16	10−6	10−6	NUM
ejpam-5932	153	17	,	,	PUNCT
ejpam-5932	153	18	where	where	SCONJ
ejpam-5932	153	19	gk	gk	PROPN
ejpam-5932	153	20	denotes	denote	VERB
ejpam-5932	153	21	the	the	DET
ejpam-5932	153	22	euclidean	euclidean	PROPN
ejpam-5932	153	23	norm	norm	NOUN
ejpam-5932	153	24	.	.	PUNCT
ejpam-5932	154	1	•	•	NUM
ejpam-5932	154	2	the	the	DET
ejpam-5932	154	3	number	number	NOUN
ejpam-5932	154	4	of	of	ADP
ejpam-5932	154	5	iterations	iteration	NOUN
ejpam-5932	154	6	exceeded	exceed	VERB
ejpam-5932	154	7	2000	2000	NUM
ejpam-5932	154	8	.	.	PUNCT
ejpam-5932	155	1	•	•	NOUN
ejpam-5932	155	2	the	the	DET
ejpam-5932	155	3	computation	computation	NOUN
ejpam-5932	155	4	time	time	NOUN
ejpam-5932	155	5	surpassed	surpass	VERB
ejpam-5932	155	6	500	500	NUM
ejpam-5932	155	7	seconds	second	NOUN
ejpam-5932	155	8	.	.	PUNCT
ejpam-5932	156	1	however	however	ADV
ejpam-5932	156	2	,	,	PUNCT
ejpam-5932	156	3	it	it	PRON
ejpam-5932	156	4	is	be	AUX
ejpam-5932	156	5	important	important	ADJ
ejpam-5932	156	6	to	to	PART
ejpam-5932	156	7	note	note	VERB
ejpam-5932	156	8	that	that	SCONJ
ejpam-5932	156	9	in	in	ADP
ejpam-5932	156	10	some	some	DET
ejpam-5932	156	11	cases	case	NOUN
ejpam-5932	156	12	,	,	PUNCT
ejpam-5932	156	13	the	the	DET
ejpam-5932	156	14	method	method	NOUN
ejpam-5932	156	15	failed	fail	VERB
ejpam-5932	156	16	to	to	PART
ejpam-5932	156	17	converge	converge	VERB
ejpam-5932	156	18	to	to	ADP
ejpam-5932	156	19	a	a	DET
ejpam-5932	156	20	solution	solution	NOUN
ejpam-5932	156	21	.	.	PUNCT
ejpam-5932	157	1	in	in	ADP
ejpam-5932	157	2	such	such	ADJ
ejpam-5932	157	3	instances	instance	NOUN
ejpam-5932	157	4	,	,	PUNCT
ejpam-5932	157	5	the	the	DET
ejpam-5932	157	6	results	result	NOUN
ejpam-5932	157	7	were	be	AUX
ejpam-5932	157	8	marked	mark	VERB
ejpam-5932	157	9	as	as	SCONJ
ejpam-5932	157	10	nan	nan	PROPN
ejpam-5932	157	11	to	to	PART
ejpam-5932	157	12	indicate	indicate	VERB
ejpam-5932	157	13	that	that	SCONJ
ejpam-5932	157	14	the	the	DET
ejpam-5932	157	15	algorithm	algorithm	NOUN
ejpam-5932	157	16	could	could	AUX
ejpam-5932	157	17	not	not	PART
ejpam-5932	157	18	produce	produce	VERB
ejpam-5932	157	19	a	a	DET
ejpam-5932	157	20	valid	valid	ADJ
ejpam-5932	157	21	solution	solution	NOUN
ejpam-5932	157	22	within	within	ADP
ejpam-5932	157	23	the	the	DET
ejpam-5932	157	24	given	give	VERB
ejpam-5932	157	25	constraints	constraint	NOUN
ejpam-5932	157	26	.	.	PUNCT
ejpam-5932	158	1	all	all	DET
ejpam-5932	158	2	codes	code	NOUN
ejpam-5932	158	3	are	be	AUX
ejpam-5932	158	4	written	write	VERB
ejpam-5932	158	5	in	in	ADP
ejpam-5932	158	6	matlab	matlab	PROPN
ejpam-5932	158	7	,	,	PUNCT
ejpam-5932	158	8	and	and	CCONJ
ejpam-5932	158	9	the	the	DET
ejpam-5932	158	10	computational	computational	ADJ
ejpam-5932	158	11	experiments	experiment	NOUN
ejpam-5932	158	12	were	be	AUX
ejpam-5932	158	13	performed	perform	VERB
ejpam-5932	158	14	on	on	ADP
ejpam-5932	158	15	a	a	DET
ejpam-5932	158	16	personal	personal	ADJ
ejpam-5932	158	17	laptop	laptop	NOUN
ejpam-5932	158	18	running	run	VERB
ejpam-5932	158	19	windows	window	NOUN
ejpam-5932	158	20	10	10	NUM
ejpam-5932	158	21	,	,	PUNCT
ejpam-5932	158	22	with	with	ADP
ejpam-5932	158	23	an	an	DET
ejpam-5932	158	24	intel(r	intel(r	NOUN
ejpam-5932	158	25	)	)	PUNCT
ejpam-5932	158	26	core(tm	core(tm	NOUN
ejpam-5932	158	27	)	)	PUNCT
ejpam-5932	158	28	i7	i7	NOUN
ejpam-5932	158	29	-	-	PUNCT
ejpam-5932	158	30	6600u	6600u	NUM
ejpam-5932	158	31	cpu	cpu	NOUN
ejpam-5932	158	32	@	@	ADP
ejpam-5932	158	33	2.60ghz	2.60ghz	NUM
ejpam-5932	158	34	(	(	PUNCT
ejpam-5932	158	35	2.81	2.81	NUM
ejpam-5932	158	36	ghz	ghz	NOUN
ejpam-5932	158	37	)	)	PUNCT
ejpam-5932	158	38	and	and	CCONJ
ejpam-5932	158	39	8.00	8.00	NUM
ejpam-5932	158	40	gb	gb	NOUN
ejpam-5932	158	41	of	of	ADP
ejpam-5932	158	42	ram	ram	NOUN
ejpam-5932	158	43	.	.	PUNCT
ejpam-5932	159	1	table	table	NOUN
ejpam-5932	159	2	1	1	NUM
ejpam-5932	159	3	presents	present	VERB
ejpam-5932	159	4	the	the	DET
ejpam-5932	159	5	results	result	NOUN
ejpam-5932	159	6	in	in	ADP
ejpam-5932	159	7	terms	term	NOUN
ejpam-5932	159	8	of	of	ADP
ejpam-5932	159	9	the	the	DET
ejpam-5932	159	10	ni	ni	NOUN
ejpam-5932	159	11	,	,	PUNCT
ejpam-5932	159	12	number	number	NOUN
ejpam-5932	159	13	of	of	ADP
ejpam-5932	159	14	nf	nf	NOUN
ejpam-5932	159	15	,	,	PUNCT
ejpam-5932	159	16	and	and	CCONJ
ejpam-5932	159	17	cput	cput	ADJ
ejpam-5932	159	18	.	.	PUNCT
ejpam-5932	160	1	table	table	NOUN
ejpam-5932	160	2	2	2	NUM
ejpam-5932	160	3	provides	provide	VERB
ejpam-5932	160	4	a	a	DET
ejpam-5932	160	5	detailed	detailed	ADJ
ejpam-5932	160	6	comparison	comparison	NOUN
ejpam-5932	160	7	of	of	ADP
ejpam-5932	160	8	the	the	DET
ejpam-5932	160	9	proposed	propose	VERB
ejpam-5932	160	10	method	method	NOUN
ejpam-5932	160	11	with	with	ADP
ejpam-5932	160	12	the	the	DET
ejpam-5932	160	13	classical	classical	ADJ
ejpam-5932	160	14	hs	hs	PROPN
ejpam-5932	160	15	and	and	CCONJ
ejpam-5932	160	16	perry	perry	PROPN
ejpam-5932	160	17	algorithms	algorithms	PROPN
ejpam-5932	160	18	,	,	PUNCT
ejpam-5932	160	19	highlighting	highlight	VERB
ejpam-5932	160	20	the	the	DET
ejpam-5932	160	21	percentage	percentage	NOUN
ejpam-5932	160	22	improvements	improvement	NOUN
ejpam-5932	160	23	achieved	achieve	VERB
ejpam-5932	160	24	by	by	ADP
ejpam-5932	160	25	the	the	DET
ejpam-5932	160	26	new	new	ADJ
ejpam-5932	160	27	method	method	NOUN
ejpam-5932	160	28	.	.	PUNCT
ejpam-5932	161	1	a	a	DET
ejpam-5932	161	2	comprehensive	comprehensive	ADJ
ejpam-5932	161	3	analysis	analysis	NOUN
ejpam-5932	161	4	of	of	ADP
ejpam-5932	161	5	these	these	DET
ejpam-5932	161	6	results	result	NOUN
ejpam-5932	161	7	was	be	AUX
ejpam-5932	161	8	conducted	conduct	VERB
ejpam-5932	161	9	using	use	VERB
ejpam-5932	161	10	the	the	DET
ejpam-5932	161	11	performance	performance	NOUN
ejpam-5932	161	12	profile	profile	NOUN
ejpam-5932	161	13	tool	tool	NOUN
ejpam-5932	161	14	introduced	introduce	VERB
ejpam-5932	161	15	by	by	ADP
ejpam-5932	161	16	dolan	dolan	PROPN
ejpam-5932	161	17	and	and	CCONJ
ejpam-5932	161	18	moré	moré	NOUN
ejpam-5932	162	1	[	[	X
ejpam-5932	162	2	35	35	NUM
ejpam-5932	162	3	]	]	PUNCT
ejpam-5932	162	4	.	.	PUNCT
ejpam-5932	163	1	this	this	DET
ejpam-5932	163	2	tool	tool	NOUN
ejpam-5932	163	3	provides	provide	VERB
ejpam-5932	163	4	a	a	DET
ejpam-5932	163	5	cumulative	cumulative	ADJ
ejpam-5932	163	6	distribution	distribution	NOUN
ejpam-5932	163	7	function	function	NOUN
ejpam-5932	163	8	ps(τ	ps(τ	NUM
ejpam-5932	163	9	)	)	PUNCT
ejpam-5932	163	10	,	,	PUNCT
ejpam-5932	163	11	enabling	enable	VERB
ejpam-5932	163	12	a	a	DET
ejpam-5932	163	13	unified	unified	ADJ
ejpam-5932	163	14	and	and	CCONJ
ejpam-5932	163	15	fair	fair	ADJ
ejpam-5932	163	16	comparison	comparison	NOUN
ejpam-5932	163	17	of	of	ADP
ejpam-5932	163	18	the	the	DET
ejpam-5932	163	19	algorithms	algorithm	NOUN
ejpam-5932	163	20	across	across	ADP
ejpam-5932	163	21	all	all	DET
ejpam-5932	163	22	metrics	metric	NOUN
ejpam-5932	163	23	.	.	PUNCT
ejpam-5932	164	1	the	the	DET
ejpam-5932	164	2	performance	performance	NOUN
ejpam-5932	164	3	profiles	profile	NOUN
ejpam-5932	164	4	for	for	ADP
ejpam-5932	164	5	the	the	DET
ejpam-5932	164	6	ni	ni	PROPN
ejpam-5932	164	7	,	,	PUNCT
ejpam-5932	164	8	nf	nf	ADJ
ejpam-5932	164	9	,	,	PUNCT
ejpam-5932	164	10	and	and	CCONJ
ejpam-5932	164	11	cput	cput	NOUN
ejpam-5932	164	12	are	be	AUX
ejpam-5932	164	13	displayed	display	VERB
ejpam-5932	164	14	in	in	ADP
ejpam-5932	164	15	figures	figure	NOUN
ejpam-5932	164	16	1a	1a	NUM
ejpam-5932	164	17	,	,	PUNCT
ejpam-5932	164	18	1b	1b	NUM
ejpam-5932	164	19	,	,	PUNCT
ejpam-5932	164	20	and	and	CCONJ
ejpam-5932	164	21	1c	1c	NOUN
ejpam-5932	164	22	,	,	PUNCT
ejpam-5932	164	23	respectively	respectively	ADV
ejpam-5932	164	24	.	.	PUNCT
ejpam-5932	165	1	table	table	NOUN
ejpam-5932	165	2	1	1	NUM
ejpam-5932	165	3	:	:	PUNCT
ejpam-5932	165	4	numerical	numerical	ADJ
ejpam-5932	165	5	results	result	NOUN
ejpam-5932	165	6	of	of	ADP
ejpam-5932	165	7	the	the	DET
ejpam-5932	165	8	proposed	propose	VERB
ejpam-5932	165	9	method	method	NOUN
ejpam-5932	165	10	compared	compare	VERB
ejpam-5932	165	11	with	with	ADP
ejpam-5932	165	12	hs	hs	PROPN
ejpam-5932	165	13	and	and	CCONJ
ejpam-5932	165	14	perry	perry	PROPN
ejpam-5932	165	15	methods	method	NOUN
ejpam-5932	165	16	test	test	NOUN
ejpam-5932	165	17	function	function	PROPN
ejpam-5932	165	18	n	n	PROPN
ejpam-5932	165	19	hs	hs	PROPN
ejpam-5932	165	20	perry	perry	PROPN
ejpam-5932	165	21	new	new	PROPN
ejpam-5932	165	22	new	new	ADJ
ejpam-5932	165	23	(	(	PUNCT
ejpam-5932	165	24	ϵm	ϵm	NOUN
ejpam-5932	165	25	=	=	SYM
ejpam-5932	165	26	1	1	X
ejpam-5932	165	27	)	)	PUNCT
ejpam-5932	165	28	ni	ni	PROPN
ejpam-5932	165	29	nf	nf	PROPN
ejpam-5932	165	30	cput	cput	PROPN
ejpam-5932	165	31	ni	ni	PROPN
ejpam-5932	165	32	nf	nf	PROPN
ejpam-5932	165	33	cput	cput	PROPN
ejpam-5932	165	34	ni	ni	PROPN
ejpam-5932	165	35	nf	nf	PROPN
ejpam-5932	165	36	cput	cput	PROPN
ejpam-5932	165	37	ni	ni	PROPN
ejpam-5932	165	38	nf	nf	PROPN
ejpam-5932	165	39	cput	cput	ADJ
ejpam-5932	165	40	’	'	PUNCT
ejpam-5932	165	41	cosine	cosine	NOUN
ejpam-5932	165	42	’	'	PUNCT
ejpam-5932	165	43	500	500	NUM
ejpam-5932	165	44	55	55	NUM
ejpam-5932	165	45	133	133	NUM
ejpam-5932	165	46	0.033755	0.033755	NUM
ejpam-5932	165	47	31	31	NUM
ejpam-5932	165	48	85	85	NUM
ejpam-5932	165	49	0.009681	0.009681	NUM
ejpam-5932	165	50	37	37	NUM
ejpam-5932	165	51	93	93	NUM
ejpam-5932	165	52	0.012033	0.012033	NUM
ejpam-5932	165	53	31	31	NUM
ejpam-5932	165	54	83	83	NUM
ejpam-5932	165	55	0.016694	0.016694	NUM
ejpam-5932	165	56	’	'	PUNCT
ejpam-5932	165	57	cosine	cosine	NOUN
ejpam-5932	165	58	’	'	PUNCT
ejpam-5932	165	59	1000	1000	NUM
ejpam-5932	165	60	51	51	NUM
ejpam-5932	165	61	117	117	NUM
ejpam-5932	165	62	0.023636	0.023636	NUM
ejpam-5932	165	63	26	26	NUM
ejpam-5932	165	64	79	79	NUM
ejpam-5932	165	65	0.01372	0.01372	NUM
ejpam-5932	165	66	27	27	NUM
ejpam-5932	165	67	78	78	NUM
ejpam-5932	165	68	0.014678	0.014678	NUM
ejpam-5932	165	69	26	26	NUM
ejpam-5932	165	70	79	79	NUM
ejpam-5932	165	71	0.014862	0.014862	NUM
ejpam-5932	165	72	’	'	PUNCT
ejpam-5932	165	73	cosine	cosine	NOUN
ejpam-5932	165	74	’	'	PUNCT
ejpam-5932	165	75	5000	5000	NUM
ejpam-5932	165	76	34	34	NUM
ejpam-5932	165	77	86	86	NUM
ejpam-5932	165	78	0.075612	0.075612	NUM
ejpam-5932	165	79	31	31	NUM
ejpam-5932	165	80	97	97	NUM
ejpam-5932	165	81	0.08309	0.08309	NUM
ejpam-5932	165	82	29	29	NUM
ejpam-5932	165	83	85	85	NUM
ejpam-5932	165	84	0.075538	0.075538	NUM
ejpam-5932	165	85	31	31	NUM
ejpam-5932	165	86	98	98	NUM
ejpam-5932	165	87	0.080135	0.080135	NUM
ejpam-5932	165	88	’	'	PUNCT
ejpam-5932	165	89	cosine	cosine	NOUN
ejpam-5932	165	90	’	'	PUNCT
ejpam-5932	165	91	10000	10000	NUM
ejpam-5932	165	92	193	193	NUM
ejpam-5932	165	93	248	248	NUM
ejpam-5932	165	94	0.401999	0.401999	NUM
ejpam-5932	165	95	20	20	NUM
ejpam-5932	165	96	71	71	NUM
ejpam-5932	165	97	0.130764	0.130764	NUM
ejpam-5932	165	98	20	20	NUM
ejpam-5932	165	99	70	70	NUM
ejpam-5932	165	100	0.119581	0.119581	NUM
ejpam-5932	165	101	20	20	NUM
ejpam-5932	165	102	71	71	NUM
ejpam-5932	165	103	0.13456	0.13456	NUM
ejpam-5932	165	104	’	'	PUNCT
ejpam-5932	165	105	dixmaana	dixmaana	PROPN
ejpam-5932	165	106	’	'	PUNCT
ejpam-5932	165	107	1500	1500	NUM
ejpam-5932	165	108	20	20	NUM
ejpam-5932	165	109	66	66	NUM
ejpam-5932	165	110	0.092721	0.092721	NUM
ejpam-5932	165	111	14	14	NUM
ejpam-5932	165	112	58	58	NUM
ejpam-5932	165	113	0.084754	0.084754	NUM
ejpam-5932	165	114	15	15	NUM
ejpam-5932	165	115	56	56	NUM
ejpam-5932	165	116	0.07047	0.07047	NUM
ejpam-5932	165	117	14	14	NUM
ejpam-5932	165	118	58	58	NUM
ejpam-5932	165	119	0.078474	0.078474	NUM
ejpam-5932	165	120	’	'	PUNCT
ejpam-5932	165	121	dixmaana	dixmaana	PROPN
ejpam-5932	165	122	’	'	PUNCT
ejpam-5932	165	123	3000	3000	NUM
ejpam-5932	165	124	24	24	NUM
ejpam-5932	165	125	73	73	NUM
ejpam-5932	165	126	0.22983	0.22983	NUM
ejpam-5932	165	127	18	18	NUM
ejpam-5932	165	128	66	66	NUM
ejpam-5932	165	129	0.21372	0.21372	NUM
ejpam-5932	165	130	14	14	NUM
ejpam-5932	165	131	61	61	NUM
ejpam-5932	165	132	0.17963	0.17963	NUM
ejpam-5932	165	133	18	18	NUM
ejpam-5932	165	134	66	66	NUM
ejpam-5932	166	1	0.218552	0.218552	NUM
ejpam-5932	166	2	a.	a.	NOUN
ejpam-5932	166	3	l.	l.	PROPN
ejpam-5932	166	4	ibrahim	ibrahim	PROPN
ejpam-5932	166	5	et	et	PROPN
ejpam-5932	166	6	al	al	PROPN
ejpam-5932	166	7	.	.	PUNCT
ejpam-5932	166	8	/	/	SYM
ejpam-5932	166	9	eur	eur	PROPN
ejpam-5932	166	10	.	.	PUNCT
ejpam-5932	167	1	j.	j.	PROPN
ejpam-5932	167	2	pure	pure	PROPN
ejpam-5932	167	3	appl	appl	PROPN
ejpam-5932	167	4	.	.	PROPN
ejpam-5932	167	5	math	math	PROPN
ejpam-5932	167	6	,	,	PUNCT
ejpam-5932	167	7	18	18	NUM
ejpam-5932	167	8	(	(	PUNCT
ejpam-5932	167	9	2	2	NUM
ejpam-5932	167	10	)	)	PUNCT
ejpam-5932	167	11	(	(	PUNCT
ejpam-5932	167	12	2025	2025	NUM
ejpam-5932	167	13	)	)	PUNCT
ejpam-5932	167	14	,	,	PUNCT
ejpam-5932	167	15	5932	5932	NUM
ejpam-5932	167	16	9	9	NUM
ejpam-5932	167	17	of	of	ADP
ejpam-5932	167	18	15	15	NUM
ejpam-5932	167	19	’	'	PUNCT
ejpam-5932	167	20	dixmaana	dixmaana	PROPN
ejpam-5932	167	21	’	'	PUNCT
ejpam-5932	167	22	15000	15000	NUM
ejpam-5932	167	23	21	21	NUM
ejpam-5932	167	24	73	73	NUM
ejpam-5932	167	25	0.90865	0.90865	NUM
ejpam-5932	167	26	19	19	NUM
ejpam-5932	167	27	71	71	NUM
ejpam-5932	167	28	0.827259	0.827259	NUM
ejpam-5932	167	29	15	15	NUM
ejpam-5932	167	30	69	69	NUM
ejpam-5932	167	31	0.909347	0.909347	NUM
ejpam-5932	167	32	19	19	NUM
ejpam-5932	167	33	71	71	NUM
ejpam-5932	167	34	0.938866	0.938866	NUM
ejpam-5932	167	35	’	'	PUNCT
ejpam-5932	167	36	dixmaana	dixmaana	PROPN
ejpam-5932	167	37	’	'	PUNCT
ejpam-5932	167	38	30000	30000	NUM
ejpam-5932	167	39	16	16	NUM
ejpam-5932	167	40	70	70	NUM
ejpam-5932	167	41	1.910883	1.910883	NUM
ejpam-5932	167	42	16	16	NUM
ejpam-5932	167	43	69	69	NUM
ejpam-5932	167	44	1.713247	1.713247	NUM
ejpam-5932	167	45	18	18	NUM
ejpam-5932	167	46	72	72	NUM
ejpam-5932	167	47	2.13092	2.13092	NUM
ejpam-5932	167	48	16	16	NUM
ejpam-5932	167	49	69	69	NUM
ejpam-5932	167	50	1.629957	1.629957	NUM
ejpam-5932	167	51	’	'	PUNCT
ejpam-5932	167	52	dixmaanb	dixmaanb	PROPN
ejpam-5932	167	53	’	'	PUNCT
ejpam-5932	167	54	1500	1500	NUM
ejpam-5932	167	55	10	10	NUM
ejpam-5932	167	56	53	53	NUM
ejpam-5932	167	57	0.090052	0.090052	NUM
ejpam-5932	167	58	15	15	NUM
ejpam-5932	167	59	63	63	NUM
ejpam-5932	167	60	0.101415	0.101415	NUM
ejpam-5932	167	61	16	16	NUM
ejpam-5932	167	62	64	64	NUM
ejpam-5932	167	63	0.07883	0.07883	NUM
ejpam-5932	167	64	15	15	NUM
ejpam-5932	167	65	63	63	NUM
ejpam-5932	167	66	0.072512	0.072512	NUM
ejpam-5932	167	67	’	'	PUNCT
ejpam-5932	167	68	dixmaanb	dixmaanb	PROPN
ejpam-5932	167	69	’	'	PUNCT
ejpam-5932	167	70	3000	3000	NUM
ejpam-5932	167	71	13	13	NUM
ejpam-5932	168	1	58	58	NUM
ejpam-5932	168	2	0.17841	0.17841	NUM
ejpam-5932	168	3	19	19	NUM
ejpam-5932	168	4	66	66	NUM
ejpam-5932	168	5	0.192647	0.192647	NUM
ejpam-5932	168	6	20	20	NUM
ejpam-5932	168	7	68	68	NUM
ejpam-5932	168	8	0.216327	0.216327	NUM
ejpam-5932	168	9	19	19	NUM
ejpam-5932	168	10	66	66	NUM
ejpam-5932	168	11	0.187179	0.187179	NUM
ejpam-5932	168	12	’	'	PUNCT
ejpam-5932	168	13	dixmaanb	dixmaanb	PROPN
ejpam-5932	168	14	’	'	PUNCT
ejpam-5932	168	15	15000	15000	NUM
ejpam-5932	168	16	14	14	NUM
ejpam-5932	168	17	65	65	NUM
ejpam-5932	168	18	0.844221	0.844221	NUM
ejpam-5932	168	19	18	18	NUM
ejpam-5932	168	20	69	69	NUM
ejpam-5932	168	21	0.937515	0.937515	NUM
ejpam-5932	168	22	19	19	NUM
ejpam-5932	168	23	69	69	NUM
ejpam-5932	168	24	0.903137	0.903137	NUM
ejpam-5932	168	25	18	18	NUM
ejpam-5932	168	26	69	69	NUM
ejpam-5932	168	27	0.841963	0.841963	NUM
ejpam-5932	168	28	’	'	PUNCT
ejpam-5932	168	29	dixmaanb	dixmaanb	PROPN
ejpam-5932	168	30	’	'	PUNCT
ejpam-5932	168	31	30000	30000	NUM
ejpam-5932	168	32	21	21	NUM
ejpam-5932	168	33	74	74	NUM
ejpam-5932	168	34	1.728917	1.728917	NUM
ejpam-5932	168	35	18	18	NUM
ejpam-5932	168	36	70	70	NUM
ejpam-5932	168	37	1.732772	1.732772	NUM
ejpam-5932	168	38	19	19	NUM
ejpam-5932	168	39	73	73	NUM
ejpam-5932	168	40	1.791905	1.791905	NUM
ejpam-5932	168	41	18	18	NUM
ejpam-5932	168	42	70	70	NUM
ejpam-5932	168	43	1.777622	1.777622	NUM
ejpam-5932	168	44	’	'	PUNCT
ejpam-5932	168	45	dixmaanc	dixmaanc	PROPN
ejpam-5932	168	46	’	'	PUNCT
ejpam-5932	168	47	3000	3000	NUM
ejpam-5932	168	48	23	23	NUM
ejpam-5932	168	49	72	72	NUM
ejpam-5932	168	50	0.215691	0.215691	NUM
ejpam-5932	168	51	19	19	NUM
ejpam-5932	168	52	68	68	NUM
ejpam-5932	168	53	0.200968	0.200968	NUM
ejpam-5932	168	54	13	13	NUM
ejpam-5932	168	55	61	61	NUM
ejpam-5932	168	56	0.183541	0.183541	NUM
ejpam-5932	168	57	19	19	NUM
ejpam-5932	168	58	68	68	NUM
ejpam-5932	168	59	0.214485	0.214485	NUM
ejpam-5932	168	60	’	'	PUNCT
ejpam-5932	168	61	dixmaanc	dixmaanc	PROPN
ejpam-5932	168	62	’	'	PUNCT
ejpam-5932	168	63	15000	15000	NUM
ejpam-5932	168	64	19	19	NUM
ejpam-5932	168	65	72	72	NUM
ejpam-5932	168	66	0.901367	0.901367	NUM
ejpam-5932	168	67	19	19	NUM
ejpam-5932	168	68	72	72	NUM
ejpam-5932	168	69	0.887783	0.887783	NUM
ejpam-5932	168	70	18	18	NUM
ejpam-5932	168	71	69	69	NUM
ejpam-5932	168	72	0.859604	0.859604	NUM
ejpam-5932	168	73	19	19	NUM
ejpam-5932	168	74	72	72	NUM
ejpam-5932	168	75	0.918407	0.918407	NUM
ejpam-5932	168	76	’	'	PUNCT
ejpam-5932	168	77	dixmaane	dixmaane	PROPN
ejpam-5932	168	78	’	'	PUNCT
ejpam-5932	168	79	1500	1500	NUM
ejpam-5932	168	80	373	373	NUM
ejpam-5932	168	81	422	422	NUM
ejpam-5932	168	82	0.526614	0.526614	NUM
ejpam-5932	168	83	186	186	NUM
ejpam-5932	168	84	298	298	NUM
ejpam-5932	168	85	0.327686	0.327686	NUM
ejpam-5932	168	86	154	154	NUM
ejpam-5932	168	87	250	250	NUM
ejpam-5932	168	88	0.341556	0.341556	NUM
ejpam-5932	168	89	158	158	NUM
ejpam-5932	168	90	266	266	NUM
ejpam-5932	168	91	0.314185	0.314185	NUM
ejpam-5932	168	92	’	'	PUNCT
ejpam-5932	168	93	dixmaane	dixmaane	NOUN
ejpam-5932	168	94	’	'	PUNCT
ejpam-5932	168	95	3000	3000	NUM
ejpam-5932	168	96	456	456	NUM
ejpam-5932	168	97	506	506	NUM
ejpam-5932	168	98	1.58176	1.58176	NUM
ejpam-5932	168	99	208	208	NUM
ejpam-5932	168	100	361	361	NUM
ejpam-5932	168	101	1.002094	1.002094	NUM
ejpam-5932	168	102	209	209	NUM
ejpam-5932	168	103	360	360	NUM
ejpam-5932	168	104	1.099917	1.099917	NUM
ejpam-5932	168	105	231	231	NUM
ejpam-5932	168	106	378	378	NUM
ejpam-5932	168	107	1.140235	1.140235	NUM
ejpam-5932	168	108	’	'	PUNCT
ejpam-5932	168	109	dixmaane	dixmaane	NOUN
ejpam-5932	168	110	’	'	PUNCT
ejpam-5932	168	111	15000	15000	NUM
ejpam-5932	168	112	744	744	NUM
ejpam-5932	168	113	797	797	NUM
ejpam-5932	168	114	10.1206	10.1206	NUM
ejpam-5932	168	115	343	343	NUM
ejpam-5932	168	116	554	554	NUM
ejpam-5932	168	117	6.977925	6.977925	NUM
ejpam-5932	168	118	315	315	NUM
ejpam-5932	168	119	531	531	NUM
ejpam-5932	168	120	6.760724	6.760724	NUM
ejpam-5932	168	121	430	430	NUM
ejpam-5932	168	122	682	682	NUM
ejpam-5932	168	123	8.448322	8.448322	NUM
ejpam-5932	168	124	’	'	PUNCT
ejpam-5932	168	125	dixmaane	dixmaane	NOUN
ejpam-5932	168	126	’	'	PUNCT
ejpam-5932	168	127	24000	24000	NUM
ejpam-5932	168	128	999	999	NUM
ejpam-5932	168	129	1054	1054	NUM
ejpam-5932	168	130	20.09337	20.09337	NUM
ejpam-5932	168	131	394	394	NUM
ejpam-5932	168	132	629	629	NUM
ejpam-5932	168	133	12.0246	12.0246	NUM
ejpam-5932	168	134	445	445	NUM
ejpam-5932	168	135	760	760	NUM
ejpam-5932	168	136	14.85598	14.85598	NUM
ejpam-5932	168	137	451	451	NUM
ejpam-5932	168	138	706	706	NUM
ejpam-5932	168	139	13.26736	13.26736	NUM
ejpam-5932	168	140	’	'	PUNCT
ejpam-5932	168	141	dixmaanf	dixmaanf	PROPN
ejpam-5932	168	142	’	'	PUNCT
ejpam-5932	168	143	15000	15000	NUM
ejpam-5932	168	144	494	494	NUM
ejpam-5932	168	145	547	547	NUM
ejpam-5932	168	146	7.602266	7.602266	NUM
ejpam-5932	168	147	277	277	NUM
ejpam-5932	168	148	469	469	NUM
ejpam-5932	168	149	5.851253	5.851253	NUM
ejpam-5932	168	150	250	250	NUM
ejpam-5932	168	151	442	442	NUM
ejpam-5932	168	152	5.774908	5.774908	NUM
ejpam-5932	168	153	428	428	NUM
ejpam-5932	168	154	568	568	NUM
ejpam-5932	168	155	7.05392	7.05392	NUM
ejpam-5932	168	156	’	'	PUNCT
ejpam-5932	168	157	dixmaanf	dixmaanf	ADJ
ejpam-5932	168	158	’	'	PUNCT
ejpam-5932	168	159	24000	24000	NUM
ejpam-5932	168	160	1356	1356	NUM
ejpam-5932	168	161	1418	1418	NUM
ejpam-5932	168	162	28.5487	28.5487	NUM
ejpam-5932	168	163	316	316	NUM
ejpam-5932	168	164	491	491	NUM
ejpam-5932	168	165	9.888144	9.888144	NUM
ejpam-5932	168	166	254	254	NUM
ejpam-5932	168	167	429	429	NUM
ejpam-5932	168	168	8.428413	8.428413	NUM
ejpam-5932	168	169	310	310	NUM
ejpam-5932	168	170	496	496	NUM
ejpam-5932	168	171	9.647825	9.647825	NUM
ejpam-5932	168	172	’	'	PUNCT
ejpam-5932	168	173	dixmaang	dixmaang	PROPN
ejpam-5932	168	174	’	'	PUNCT
ejpam-5932	168	175	1500	1500	NUM
ejpam-5932	169	1	nan	nan	PROPN
ejpam-5932	170	1	nan	nan	PROPN
ejpam-5932	171	1	nan	nan	PROPN
ejpam-5932	172	1	167	167	NUM
ejpam-5932	173	1	271	271	NUM
ejpam-5932	173	2	0.382597	0.382597	NUM
ejpam-5932	173	3	152	152	NUM
ejpam-5932	173	4	268	268	NUM
ejpam-5932	173	5	0.315178	0.315178	NUM
ejpam-5932	173	6	153	153	NUM
ejpam-5932	173	7	245	245	NUM
ejpam-5932	173	8	0.301801	0.301801	NUM
ejpam-5932	173	9	’	'	PUNCT
ejpam-5932	173	10	dixmaang	dixmaang	NOUN
ejpam-5932	173	11	’	'	PUNCT
ejpam-5932	173	12	3000	3000	NUM
ejpam-5932	173	13	nan	nan	PROPN
ejpam-5932	173	14	nan	nan	PROPN
ejpam-5932	173	15	nan	nan	PROPN
ejpam-5932	173	16	150	150	NUM
ejpam-5932	174	1	257	257	NUM
ejpam-5932	174	2	0.756952	0.756952	NUM
ejpam-5932	174	3	203	203	NUM
ejpam-5932	174	4	327	327	NUM
ejpam-5932	174	5	0.945721	0.945721	NUM
ejpam-5932	174	6	156	156	NUM
ejpam-5932	174	7	253	253	NUM
ejpam-5932	174	8	0.73545	0.73545	NUM
ejpam-5932	174	9	’	'	PUNCT
ejpam-5932	174	10	dixmaang	dixmaang	NOUN
ejpam-5932	174	11	’	'	PUNCT
ejpam-5932	174	12	15000	15000	NUM
ejpam-5932	174	13	373	373	NUM
ejpam-5932	174	14	427	427	NUM
ejpam-5932	174	15	5.115567	5.115567	NUM
ejpam-5932	174	16	223	223	NUM
ejpam-5932	174	17	358	358	NUM
ejpam-5932	174	18	4.527224	4.527224	NUM
ejpam-5932	174	19	265	265	NUM
ejpam-5932	174	20	424	424	NUM
ejpam-5932	174	21	5.191343	5.191343	NUM
ejpam-5932	174	22	246	246	NUM
ejpam-5932	174	23	406	406	NUM
ejpam-5932	174	24	4.989654	4.989654	NUM
ejpam-5932	174	25	’	'	PUNCT
ejpam-5932	174	26	dixmaang	dixmaang	NOUN
ejpam-5932	174	27	’	'	PUNCT
ejpam-5932	174	28	30000	30000	NUM
ejpam-5932	174	29	1415	1415	NUM
ejpam-5932	174	30	2595	2595	NUM
ejpam-5932	174	31	62.24052	62.24052	NUM
ejpam-5932	174	32	122	122	NUM
ejpam-5932	174	33	212	212	NUM
ejpam-5932	174	34	4.965631	4.965631	NUM
ejpam-5932	174	35	168	168	NUM
ejpam-5932	174	36	296	296	NUM
ejpam-5932	174	37	7.095215	7.095215	NUM
ejpam-5932	174	38	139	139	NUM
ejpam-5932	174	39	248	248	NUM
ejpam-5932	174	40	5.888025	5.888025	NUM
ejpam-5932	174	41	’	'	PUNCT
ejpam-5932	174	42	dixmaanh	dixmaanh	PROPN
ejpam-5932	174	43	’	'	PUNCT
ejpam-5932	174	44	1500	1500	NUM
ejpam-5932	175	1	nan	nan	PROPN
ejpam-5932	175	2	nan	nan	PROPN
ejpam-5932	175	3	nan	nan	PROPN
ejpam-5932	175	4	114	114	NUM
ejpam-5932	175	5	194	194	NUM
ejpam-5932	175	6	0.229408	0.229408	NUM
ejpam-5932	175	7	133	133	NUM
ejpam-5932	175	8	244	244	NUM
ejpam-5932	175	9	0.36558	0.36558	NUM
ejpam-5932	175	10	114	114	NUM
ejpam-5932	175	11	214	214	NUM
ejpam-5932	175	12	0.287352	0.287352	NUM
ejpam-5932	175	13	’	'	PUNCT
ejpam-5932	175	14	dixmaanh	dixmaanh	ADJ
ejpam-5932	175	15	’	'	PUNCT
ejpam-5932	175	16	3000	3000	NUM
ejpam-5932	176	1	nan	nan	PROPN
ejpam-5932	176	2	nan	nan	PROPN
ejpam-5932	176	3	nan	nan	PROPN
ejpam-5932	176	4	188	188	NUM
ejpam-5932	176	5	288	288	NUM
ejpam-5932	176	6	0.834066	0.834066	NUM
ejpam-5932	176	7	159	159	NUM
ejpam-5932	176	8	279	279	NUM
ejpam-5932	176	9	0.814102	0.814102	NUM
ejpam-5932	176	10	171	171	NUM
ejpam-5932	176	11	293	293	NUM
ejpam-5932	176	12	0.87006	0.87006	NUM
ejpam-5932	176	13	’	'	PUNCT
ejpam-5932	176	14	dixmaani	dixmaani	NOUN
ejpam-5932	176	15	’	'	PUNCT
ejpam-5932	176	16	300	300	NUM
ejpam-5932	176	17	935	935	NUM
ejpam-5932	176	18	980	980	NUM
ejpam-5932	176	19	0.385063	0.385063	NUM
ejpam-5932	176	20	407	407	NUM
ejpam-5932	176	21	638	638	NUM
ejpam-5932	176	22	0.207102	0.207102	NUM
ejpam-5932	176	23	352	352	NUM
ejpam-5932	176	24	602	602	NUM
ejpam-5932	176	25	0.219785	0.219785	NUM
ejpam-5932	176	26	402	402	NUM
ejpam-5932	176	27	642	642	NUM
ejpam-5932	176	28	0.211295	0.211295	NUM
ejpam-5932	176	29	’	'	PUNCT
ejpam-5932	176	30	dixmaani	dixmaani	NOUN
ejpam-5932	176	31	’	'	PUNCT
ejpam-5932	176	32	3000	3000	NUM
ejpam-5932	177	1	nan	nan	PROPN
ejpam-5932	177	2	nan	nan	PROPN
ejpam-5932	177	3	nan	nan	PROPN
ejpam-5932	177	4	627	627	NUM
ejpam-5932	177	5	986	986	NUM
ejpam-5932	177	6	2.721861	2.721861	NUM
ejpam-5932	177	7	620	620	NUM
ejpam-5932	177	8	1032	1032	NUM
ejpam-5932	177	9	2.924245	2.924245	NUM
ejpam-5932	177	10	637	637	NUM
ejpam-5932	177	11	1029	1029	NUM
ejpam-5932	177	12	2.836656	2.836656	NUM
ejpam-5932	177	13	’	'	PUNCT
ejpam-5932	177	14	dixmaanj	dixmaanj	ADJ
ejpam-5932	177	15	’	'	PUNCT
ejpam-5932	177	16	300	300	NUM
ejpam-5932	177	17	1984	1984	NUM
ejpam-5932	177	18	2054	2054	NUM
ejpam-5932	177	19	0.65829	0.65829	NUM
ejpam-5932	177	20	114	114	NUM
ejpam-5932	177	21	206	206	NUM
ejpam-5932	177	22	0.066094	0.066094	NUM
ejpam-5932	177	23	109	109	NUM
ejpam-5932	177	24	211	211	NUM
ejpam-5932	177	25	0.065167	0.065167	NUM
ejpam-5932	177	26	101	101	NUM
ejpam-5932	177	27	190	190	NUM
ejpam-5932	177	28	0.059669	0.059669	NUM
ejpam-5932	177	29	’	'	PUNCT
ejpam-5932	177	30	dixmaanj	dixmaanj	ADJ
ejpam-5932	177	31	’	'	PUNCT
ejpam-5932	177	32	9000	9000	NUM
ejpam-5932	177	33	433	433	NUM
ejpam-5932	177	34	486	486	NUM
ejpam-5932	177	35	3.704114	3.704114	NUM
ejpam-5932	177	36	203	203	NUM
ejpam-5932	177	37	342	342	NUM
ejpam-5932	177	38	2.639958	2.639958	NUM
ejpam-5932	177	39	198	198	NUM
ejpam-5932	177	40	332	332	NUM
ejpam-5932	177	41	2.611461	2.611461	NUM
ejpam-5932	177	42	198	198	NUM
ejpam-5932	177	43	337	337	NUM
ejpam-5932	177	44	2.594001	2.594001	NUM
ejpam-5932	177	45	’	'	PUNCT
ejpam-5932	177	46	dixmaanj	dixmaanj	NOUN
ejpam-5932	177	47	’	'	PUNCT
ejpam-5932	177	48	15000	15000	NUM
ejpam-5932	177	49	500	500	NUM
ejpam-5932	177	50	553	553	NUM
ejpam-5932	177	51	6.82994	6.82994	NUM
ejpam-5932	177	52	202	202	NUM
ejpam-5932	177	53	359	359	NUM
ejpam-5932	178	1	4.599998	4.599998	NUM
ejpam-5932	178	2	183	183	NUM
ejpam-5932	178	3	336	336	NUM
ejpam-5932	178	4	4.205175	4.205175	NUM
ejpam-5932	178	5	192	192	NUM
ejpam-5932	178	6	317	317	NUM
ejpam-5932	178	7	4.068118	4.068118	NUM
ejpam-5932	178	8	’	'	PUNCT
ejpam-5932	178	9	dixmaank	dixmaank	NOUN
ejpam-5932	178	10	’	'	PUNCT
ejpam-5932	178	11	30000	30000	NUM
ejpam-5932	178	12	640	640	NUM
ejpam-5932	178	13	703	703	NUM
ejpam-5932	178	14	17.35754	17.35754	NUM
ejpam-5932	178	15	202	202	NUM
ejpam-5932	178	16	351	351	NUM
ejpam-5932	178	17	8.516839	8.516839	NUM
ejpam-5932	178	18	189	189	NUM
ejpam-5932	178	19	321	321	NUM
ejpam-5932	178	20	7.615254	7.615254	NUM
ejpam-5932	178	21	192	192	NUM
ejpam-5932	178	22	351	351	NUM
ejpam-5932	178	23	8.315288	8.315288	NUM
ejpam-5932	178	24	’	'	PUNCT
ejpam-5932	178	25	dixmaank	dixmaank	NOUN
ejpam-5932	178	26	’	'	PUNCT
ejpam-5932	178	27	3000	3000	NUM
ejpam-5932	178	28	nan	nan	PROPN
ejpam-5932	178	29	nan	nan	PROPN
ejpam-5932	178	30	nan	nan	PROPN
ejpam-5932	178	31	135	135	NUM
ejpam-5932	178	32	231	231	NUM
ejpam-5932	178	33	0.633973	0.633973	NUM
ejpam-5932	178	34	119	119	NUM
ejpam-5932	178	35	223	223	NUM
ejpam-5932	178	36	0.6079	0.6079	NUM
ejpam-5932	178	37	166	166	NUM
ejpam-5932	178	38	275	275	NUM
ejpam-5932	178	39	0.731622	0.731622	NUM
ejpam-5932	178	40	’	'	PUNCT
ejpam-5932	178	41	dixmaank	dixmaank	NOUN
ejpam-5932	178	42	’	'	PUNCT
ejpam-5932	178	43	30000	30000	NUM
ejpam-5932	178	44	640	640	NUM
ejpam-5932	178	45	703	703	NUM
ejpam-5932	178	46	16.85895	16.85895	NUM
ejpam-5932	178	47	202	202	NUM
ejpam-5932	178	48	351	351	NUM
ejpam-5932	178	49	8.482023	8.482023	NUM
ejpam-5932	178	50	189	189	NUM
ejpam-5932	178	51	321	321	NUM
ejpam-5932	178	52	7.709402	7.709402	NUM
ejpam-5932	178	53	192	192	NUM
ejpam-5932	178	54	351	351	NUM
ejpam-5932	178	55	9.147786	9.147786	NUM
ejpam-5932	178	56	’	'	PUNCT
ejpam-5932	178	57	dixon3dq	dixon3dq	NOUN
ejpam-5932	178	58	’	'	PUNCT
ejpam-5932	178	59	10	10	NUM
ejpam-5932	178	60	77	77	NUM
ejpam-5932	178	61	114	114	NUM
ejpam-5932	178	62	0.003808	0.003808	NUM
ejpam-5932	178	63	60	60	NUM
ejpam-5932	178	64	117	117	NUM
ejpam-5932	178	65	0.002931	0.002931	NUM
ejpam-5932	178	66	57	57	NUM
ejpam-5932	178	67	109	109	NUM
ejpam-5932	178	68	0.004382	0.004382	NUM
ejpam-5932	178	69	52	52	NUM
ejpam-5932	178	70	106	106	NUM
ejpam-5932	178	71	0.003532	0.003532	NUM
ejpam-5932	178	72	’	'	PUNCT
ejpam-5932	178	73	dixon3dq	dixon3dq	NOUN
ejpam-5932	178	74	’	'	PUNCT
ejpam-5932	178	75	50	50	NUM
ejpam-5932	178	76	386	386	NUM
ejpam-5932	178	77	423	423	NUM
ejpam-5932	178	78	0.015569	0.015569	NUM
ejpam-5932	178	79	458	458	NUM
ejpam-5932	178	80	733	733	NUM
ejpam-5932	178	81	0.025348	0.025348	NUM
ejpam-5932	178	82	279	279	NUM
ejpam-5932	178	83	468	468	NUM
ejpam-5932	178	84	0.017681	0.017681	NUM
ejpam-5932	178	85	272	272	NUM
ejpam-5932	178	86	445	445	NUM
ejpam-5932	178	87	0.018375	0.018375	NUM
ejpam-5932	178	88	’	'	PUNCT
ejpam-5932	178	89	eg2	eg2	NOUN
ejpam-5932	178	90	’	'	PUNCT
ejpam-5932	178	91	4	4	NUM
ejpam-5932	178	92	32	32	NUM
ejpam-5932	178	93	67	67	NUM
ejpam-5932	178	94	0.007854	0.007854	NUM
ejpam-5932	178	95	22	22	NUM
ejpam-5932	178	96	60	60	NUM
ejpam-5932	178	97	0.001858	0.001858	NUM
ejpam-5932	178	98	26	26	NUM
ejpam-5932	178	99	67	67	NUM
ejpam-5932	178	100	0.002469	0.002469	NUM
ejpam-5932	178	101	22	22	NUM
ejpam-5932	178	102	60	60	NUM
ejpam-5932	178	103	0.002194	0.002194	NUM
ejpam-5932	178	104	’	'	PUNCT
ejpam-5932	178	105	eg2	eg2	NOUN
ejpam-5932	178	106	’	'	PUNCT
ejpam-5932	178	107	10	10	NUM
ejpam-5932	178	108	66	66	NUM
ejpam-5932	178	109	141	141	NUM
ejpam-5932	178	110	0.004638	0.004638	NUM
ejpam-5932	178	111	58	58	NUM
ejpam-5932	178	112	118	118	NUM
ejpam-5932	178	113	0.003596	0.003596	NUM
ejpam-5932	178	114	35	35	NUM
ejpam-5932	178	115	85	85	NUM
ejpam-5932	178	116	0.002841	0.002841	NUM
ejpam-5932	178	117	58	58	NUM
ejpam-5932	178	118	118	118	NUM
ejpam-5932	178	119	0.005193	0.005193	NUM
ejpam-5932	178	120	’	'	PUNCT
ejpam-5932	178	121	eg2	eg2	NOUN
ejpam-5932	178	122	’	'	PUNCT
ejpam-5932	178	123	50	50	NUM
ejpam-5932	178	124	71	71	NUM
ejpam-5932	178	125	206	206	NUM
ejpam-5932	178	126	0.007189	0.007189	NUM
ejpam-5932	178	127	165	165	NUM
ejpam-5932	178	128	428	428	NUM
ejpam-5932	178	129	0.014942	0.014942	NUM
ejpam-5932	178	130	120	120	NUM
ejpam-5932	178	131	319	319	NUM
ejpam-5932	178	132	0.01263	0.01263	NUM
ejpam-5932	178	133	101	101	NUM
ejpam-5932	178	134	242	242	NUM
ejpam-5932	178	135	0.008975	0.008975	NUM
ejpam-5932	178	136	’	'	PUNCT
ejpam-5932	178	137	freuroth	freuroth	NOUN
ejpam-5932	178	138	’	'	PUNCT
ejpam-5932	178	139	4	4	NUM
ejpam-5932	178	140	218	218	NUM
ejpam-5932	178	141	343	343	NUM
ejpam-5932	178	142	0.023291	0.023291	NUM
ejpam-5932	178	143	80	80	NUM
ejpam-5932	178	144	224	224	NUM
ejpam-5932	178	145	0.006497	0.006497	NUM
ejpam-5932	178	146	51	51	NUM
ejpam-5932	178	147	159	159	NUM
ejpam-5932	178	148	0.005727	0.005727	NUM
ejpam-5932	178	149	68	68	NUM
ejpam-5932	178	150	185	185	NUM
ejpam-5932	178	151	0.008482	0.008482	NUM
ejpam-5932	178	152	’	'	PUNCT
ejpam-5932	178	153	freuroth	freuroth	NOUN
ejpam-5932	178	154	’	'	PUNCT
ejpam-5932	178	155	10	10	NUM
ejpam-5932	178	156	301	301	NUM
ejpam-5932	178	157	395	395	NUM
ejpam-5932	178	158	0.019306	0.019306	NUM
ejpam-5932	178	159	52	52	NUM
ejpam-5932	178	160	169	169	NUM
ejpam-5932	178	161	0.005128	0.005128	NUM
ejpam-5932	178	162	71	71	NUM
ejpam-5932	178	163	201	201	NUM
ejpam-5932	178	164	0.009838	0.009838	NUM
ejpam-5932	178	165	52	52	NUM
ejpam-5932	178	166	169	169	NUM
ejpam-5932	178	167	0.006593	0.006593	NUM
ejpam-5932	178	168	’	'	PUNCT
ejpam-5932	178	169	freuroth	freuroth	NOUN
ejpam-5932	178	170	’	'	PUNCT
ejpam-5932	178	171	50	50	NUM
ejpam-5932	178	172	290	290	NUM
ejpam-5932	178	173	390	390	NUM
ejpam-5932	178	174	0.027218	0.027218	NUM
ejpam-5932	178	175	68	68	NUM
ejpam-5932	178	176	194	194	NUM
ejpam-5932	178	177	0.007977	0.007977	NUM
ejpam-5932	178	178	64	64	NUM
ejpam-5932	178	179	188	188	NUM
ejpam-5932	178	180	0.010353	0.010353	NUM
ejpam-5932	178	181	68	68	NUM
ejpam-5932	178	182	189	189	NUM
ejpam-5932	178	183	0.010171	0.010171	NUM
ejpam-5932	178	184	’	'	PUNCT
ejpam-5932	178	185	freuroth	freuroth	NOUN
ejpam-5932	178	186	’	'	PUNCT
ejpam-5932	178	187	100	100	NUM
ejpam-5932	178	188	275	275	NUM
ejpam-5932	178	189	351	351	NUM
ejpam-5932	178	190	0.026272	0.026272	NUM
ejpam-5932	178	191	65	65	NUM
ejpam-5932	178	192	238	238	NUM
ejpam-5932	178	193	0.01309	0.01309	NUM
ejpam-5932	178	194	63	63	NUM
ejpam-5932	178	195	181	181	NUM
ejpam-5932	178	196	0.010686	0.010686	NUM
ejpam-5932	178	197	60	60	NUM
ejpam-5932	178	198	169	169	NUM
ejpam-5932	178	199	0.009422	0.009422	NUM
ejpam-5932	178	200	’	'	PUNCT
ejpam-5932	178	201	himmelbg	himmelbg	NOUN
ejpam-5932	178	202	’	'	PUNCT
ejpam-5932	178	203	500	500	NUM
ejpam-5932	178	204	2	2	NUM
ejpam-5932	178	205	9	9	NUM
ejpam-5932	178	206	0.006417	0.006417	NUM
ejpam-5932	178	207	2	2	NUM
ejpam-5932	178	208	9	9	NUM
ejpam-5932	178	209	0.000912	0.000912	NUM
ejpam-5932	178	210	2	2	NUM
ejpam-5932	178	211	9	9	NUM
ejpam-5932	178	212	0.000876	0.000876	NUM
ejpam-5932	178	213	2	2	NUM
ejpam-5932	178	214	9	9	NUM
ejpam-5932	178	215	0.000863	0.000863	NUM
ejpam-5932	178	216	’	'	PUNCT
ejpam-5932	178	217	himmelbg	himmelbg	NOUN
ejpam-5932	178	218	’	'	PUNCT
ejpam-5932	178	219	1000	1000	NUM
ejpam-5932	178	220	2	2	NUM
ejpam-5932	178	221	9	9	NUM
ejpam-5932	178	222	0.00218	0.00218	NUM
ejpam-5932	178	223	2	2	NUM
ejpam-5932	178	224	9	9	NUM
ejpam-5932	178	225	0.001992	0.001992	NUM
ejpam-5932	178	226	2	2	NUM
ejpam-5932	178	227	9	9	NUM
ejpam-5932	178	228	0.001696	0.001696	NUM
ejpam-5932	178	229	2	2	NUM
ejpam-5932	178	230	9	9	NUM
ejpam-5932	178	231	0.001523	0.001523	NUM
ejpam-5932	178	232	’	'	PUNCT
ejpam-5932	178	233	himmelbg	himmelbg	NOUN
ejpam-5932	178	234	’	'	PUNCT
ejpam-5932	178	235	5000	5000	NUM
ejpam-5932	178	236	3	3	NUM
ejpam-5932	178	237	21	21	NUM
ejpam-5932	178	238	0.013903	0.013903	NUM
ejpam-5932	178	239	3	3	NUM
ejpam-5932	178	240	21	21	NUM
ejpam-5932	178	241	0.012772	0.012772	NUM
ejpam-5932	178	242	3	3	NUM
ejpam-5932	178	243	21	21	NUM
ejpam-5932	178	244	0.01348	0.01348	NUM
ejpam-5932	178	245	3	3	NUM
ejpam-5932	178	246	21	21	NUM
ejpam-5932	178	247	0.012958	0.012958	NUM
ejpam-5932	178	248	’	'	PUNCT
ejpam-5932	178	249	himmelbg	himmelbg	NOUN
ejpam-5932	178	250	’	'	PUNCT
ejpam-5932	178	251	10000	10000	NUM
ejpam-5932	178	252	2	2	NUM
ejpam-5932	178	253	11	11	NUM
ejpam-5932	178	254	0.018961	0.018961	NUM
ejpam-5932	178	255	2	2	NUM
ejpam-5932	178	256	11	11	NUM
ejpam-5932	178	257	0.017717	0.017717	NUM
ejpam-5932	178	258	2	2	NUM
ejpam-5932	178	259	11	11	NUM
ejpam-5932	178	260	0.018844	0.018844	NUM
ejpam-5932	178	261	2	2	NUM
ejpam-5932	178	262	11	11	NUM
ejpam-5932	178	263	0.017778	0.017778	NUM
ejpam-5932	178	264	a.	a.	NOUN
ejpam-5932	178	265	l.	l.	PROPN
ejpam-5932	178	266	ibrahim	ibrahim	PROPN
ejpam-5932	178	267	et	et	PROPN
ejpam-5932	178	268	al	al	PROPN
ejpam-5932	178	269	.	.	PUNCT
ejpam-5932	178	270	/	/	SYM
ejpam-5932	178	271	eur	eur	PROPN
ejpam-5932	178	272	.	.	PUNCT
ejpam-5932	179	1	j.	j.	PROPN
ejpam-5932	179	2	pure	pure	PROPN
ejpam-5932	179	3	appl	appl	PROPN
ejpam-5932	179	4	.	.	PROPN
ejpam-5932	179	5	math	math	PROPN
ejpam-5932	179	6	,	,	PUNCT
ejpam-5932	179	7	18	18	NUM
ejpam-5932	179	8	(	(	PUNCT
ejpam-5932	179	9	2	2	NUM
ejpam-5932	179	10	)	)	PUNCT
ejpam-5932	179	11	(	(	PUNCT
ejpam-5932	179	12	2025	2025	NUM
ejpam-5932	179	13	)	)	PUNCT
ejpam-5932	179	14	,	,	PUNCT
ejpam-5932	179	15	5932	5932	NUM
ejpam-5932	179	16	10	10	NUM
ejpam-5932	179	17	of	of	ADP
ejpam-5932	179	18	15	15	NUM
ejpam-5932	179	19	’	'	PUNCT
ejpam-5932	179	20	liarwhd	liarwhd	NOUN
ejpam-5932	179	21	’	'	PUNCT
ejpam-5932	179	22	500	500	NUM
ejpam-5932	179	23	88	88	NUM
ejpam-5932	179	24	227	227	NUM
ejpam-5932	179	25	0.025006	0.025006	NUM
ejpam-5932	179	26	70	70	NUM
ejpam-5932	179	27	232	232	NUM
ejpam-5932	179	28	0.020955	0.020955	NUM
ejpam-5932	179	29	58	58	NUM
ejpam-5932	179	30	226	226	NUM
ejpam-5932	179	31	0.021396	0.021396	NUM
ejpam-5932	179	32	73	73	NUM
ejpam-5932	179	33	226	226	NUM
ejpam-5932	179	34	0.023267	0.023267	NUM
ejpam-5932	179	35	’	'	PUNCT
ejpam-5932	179	36	liarwhd	liarwhd	ADJ
ejpam-5932	179	37	’	'	PUNCT
ejpam-5932	179	38	1000	1000	NUM
ejpam-5932	179	39	164	164	NUM
ejpam-5932	179	40	389	389	NUM
ejpam-5932	179	41	0.044784	0.044784	NUM
ejpam-5932	179	42	95	95	NUM
ejpam-5932	179	43	318	318	NUM
ejpam-5932	179	44	0.034766	0.034766	NUM
ejpam-5932	179	45	71	71	NUM
ejpam-5932	179	46	254	254	NUM
ejpam-5932	179	47	0.027863	0.027863	NUM
ejpam-5932	179	48	68	68	NUM
ejpam-5932	179	49	254	254	NUM
ejpam-5932	179	50	0.029333	0.029333	NUM
ejpam-5932	179	51	’	'	PUNCT
ejpam-5932	179	52	liarwhd	liarwhd	ADJ
ejpam-5932	179	53	’	'	PUNCT
ejpam-5932	179	54	5000	5000	NUM
ejpam-5932	179	55	144	144	NUM
ejpam-5932	179	56	371	371	NUM
ejpam-5932	179	57	0.184553	0.184553	NUM
ejpam-5932	179	58	89	89	NUM
ejpam-5932	179	59	342	342	NUM
ejpam-5932	179	60	0.158965	0.158965	NUM
ejpam-5932	179	61	90	90	NUM
ejpam-5932	179	62	334	334	NUM
ejpam-5932	179	63	0.15707	0.15707	NUM
ejpam-5932	179	64	74	74	NUM
ejpam-5932	179	65	271	271	NUM
ejpam-5932	179	66	0.12338	0.12338	NUM
ejpam-5932	179	67	’	'	PUNCT
ejpam-5932	179	68	liarwhd	liarwhd	ADJ
ejpam-5932	179	69	’	'	PUNCT
ejpam-5932	179	70	10000	10000	NUM
ejpam-5932	179	71	145	145	NUM
ejpam-5932	179	72	472	472	NUM
ejpam-5932	179	73	0.409646	0.409646	NUM
ejpam-5932	179	74	94	94	NUM
ejpam-5932	179	75	347	347	NUM
ejpam-5932	179	76	0.310964	0.310964	NUM
ejpam-5932	179	77	67	67	NUM
ejpam-5932	179	78	257	257	NUM
ejpam-5932	179	79	0.224857	0.224857	NUM
ejpam-5932	179	80	113	113	NUM
ejpam-5932	179	81	404	404	NUM
ejpam-5932	179	82	0.328639	0.328639	NUM
ejpam-5932	179	83	’	'	PUNCT
ejpam-5932	179	84	penalty1	penalty1	NOUN
ejpam-5932	179	85	’	'	PUNCT
ejpam-5932	180	1	500	500	NUM
ejpam-5932	180	2	22	22	NUM
ejpam-5932	180	3	119	119	NUM
ejpam-5932	180	4	0.178701	0.178701	NUM
ejpam-5932	180	5	19	19	NUM
ejpam-5932	180	6	107	107	NUM
ejpam-5932	180	7	0.139866	0.139866	NUM
ejpam-5932	180	8	20	20	NUM
ejpam-5932	180	9	113	113	NUM
ejpam-5932	180	10	0.14773	0.14773	NUM
ejpam-5932	180	11	25	25	NUM
ejpam-5932	180	12	120	120	NUM
ejpam-5932	180	13	0.157519	0.157519	NUM
ejpam-5932	180	14	’	'	PUNCT
ejpam-5932	180	15	penalty1	penalty1	NOUN
ejpam-5932	180	16	’	'	PUNCT
ejpam-5932	180	17	1000	1000	NUM
ejpam-5932	180	18	21	21	NUM
ejpam-5932	180	19	110	110	NUM
ejpam-5932	180	20	0.404508	0.404508	NUM
ejpam-5932	180	21	21	21	NUM
ejpam-5932	180	22	111	111	NUM
ejpam-5932	180	23	0.400485	0.400485	NUM
ejpam-5932	180	24	27	27	NUM
ejpam-5932	180	25	117	117	NUM
ejpam-5932	180	26	0.426632	0.426632	NUM
ejpam-5932	180	27	22	22	NUM
ejpam-5932	180	28	106	106	NUM
ejpam-5932	180	29	0.385329	0.385329	NUM
ejpam-5932	180	30	’	'	PUNCT
ejpam-5932	180	31	penalty1	penalty1	NOUN
ejpam-5932	180	32	’	'	PUNCT
ejpam-5932	180	33	4000	4000	NUM
ejpam-5932	180	34	23	23	NUM
ejpam-5932	180	35	138	138	NUM
ejpam-5932	180	36	6.079985	6.079985	NUM
ejpam-5932	180	37	26	26	NUM
ejpam-5932	180	38	140	140	NUM
ejpam-5932	180	39	6.132693	6.132693	NUM
ejpam-5932	180	40	23	23	NUM
ejpam-5932	180	41	137	137	NUM
ejpam-5932	180	42	6.028452	6.028452	NUM
ejpam-5932	180	43	25	25	NUM
ejpam-5932	180	44	137	137	NUM
ejpam-5932	180	45	6.049148	6.049148	NUM
ejpam-5932	180	46	’	'	PUNCT
ejpam-5932	180	47	penalty1	penalty1	NOUN
ejpam-5932	180	48	’	'	PUNCT
ejpam-5932	180	49	10000	10000	NUM
ejpam-5932	180	50	18	18	NUM
ejpam-5932	180	51	79	79	NUM
ejpam-5932	180	52	18.10737	18.10737	NUM
ejpam-5932	180	53	18	18	NUM
ejpam-5932	180	54	79	79	NUM
ejpam-5932	180	55	18.12312	18.12312	NUM
ejpam-5932	180	56	17	17	NUM
ejpam-5932	180	57	77	77	NUM
ejpam-5932	180	58	17.72842	17.72842	NUM
ejpam-5932	180	59	17	17	NUM
ejpam-5932	180	60	79	79	NUM
ejpam-5932	180	61	18.25694	18.25694	NUM
ejpam-5932	180	62	’	'	PUNCT
ejpam-5932	180	63	tridia	tridia	NOUN
ejpam-5932	180	64	’	'	PUNCT
ejpam-5932	180	65	500	500	NUM
ejpam-5932	180	66	1434	1434	NUM
ejpam-5932	180	67	1497	1497	NUM
ejpam-5932	180	68	0.116049	0.116049	NUM
ejpam-5932	180	69	723	723	NUM
ejpam-5932	180	70	1159	1159	NUM
ejpam-5932	180	71	0.080065	0.080065	NUM
ejpam-5932	180	72	630	630	NUM
ejpam-5932	180	73	1018	1018	NUM
ejpam-5932	180	74	0.07713	0.07713	NUM
ejpam-5932	180	75	612	612	NUM
ejpam-5932	180	76	980	980	NUM
ejpam-5932	180	77	0.081127	0.081127	NUM
ejpam-5932	180	78	’	'	PUNCT
ejpam-5932	180	79	tridia	tridia	NOUN
ejpam-5932	180	80	’	'	PUNCT
ejpam-5932	180	81	1000	1000	NUM
ejpam-5932	180	82	nan	nan	PROPN
ejpam-5932	180	83	nan	nan	PROPN
ejpam-5932	180	84	nan	nan	PROPN
ejpam-5932	180	85	968	968	NUM
ejpam-5932	180	86	1531	1531	NUM
ejpam-5932	180	87	0.162034	0.162034	NUM
ejpam-5932	180	88	995	995	NUM
ejpam-5932	180	89	1671	1671	NUM
ejpam-5932	180	90	0.202518	0.202518	NUM
ejpam-5932	180	91	923	923	NUM
ejpam-5932	180	92	1434	1434	NUM
ejpam-5932	180	93	0.174033	0.174033	NUM
ejpam-5932	180	94	’	'	PUNCT
ejpam-5932	180	95	tridia	tridia	PROPN
ejpam-5932	180	96	’	'	PUNCT
ejpam-5932	180	97	4000	4000	NUM
ejpam-5932	181	1	nan	nan	PROPN
ejpam-5932	181	2	nan	nan	PROPN
ejpam-5932	182	1	nan	nan	PROPN
ejpam-5932	182	2	nan	nan	PROPN
ejpam-5932	182	3	nan	nan	PROPN
ejpam-5932	182	4	nan	nan	PROPN
ejpam-5932	182	5	1549	1549	NUM
ejpam-5932	182	6	2545	2545	NUM
ejpam-5932	182	7	1.03679	1.03679	NUM
ejpam-5932	182	8	1992	1992	NUM
ejpam-5932	182	9	3174	3174	NUM
ejpam-5932	182	10	1.34513	1.34513	NUM
ejpam-5932	182	11	’	'	PUNCT
ejpam-5932	182	12	woods	wood	NOUN
ejpam-5932	182	13	’	'	PUNCT
ejpam-5932	182	14	500	500	NUM
ejpam-5932	182	15	nan	nan	PROPN
ejpam-5932	182	16	nan	nan	PROPN
ejpam-5932	182	17	nan	nan	PROPN
ejpam-5932	182	18	164	164	NUM
ejpam-5932	182	19	335	335	NUM
ejpam-5932	182	20	0.023281	0.023281	NUM
ejpam-5932	182	21	165	165	NUM
ejpam-5932	182	22	389	389	NUM
ejpam-5932	182	23	0.028255	0.028255	NUM
ejpam-5932	182	24	169	169	NUM
ejpam-5932	182	25	374	374	NUM
ejpam-5932	182	26	0.027434	0.027434	NUM
ejpam-5932	182	27	’	'	PUNCT
ejpam-5932	182	28	woods	wood	NOUN
ejpam-5932	182	29	’	'	PUNCT
ejpam-5932	182	30	1000	1000	NUM
ejpam-5932	182	31	nan	nan	PROPN
ejpam-5932	182	32	nan	nan	PROPN
ejpam-5932	182	33	nan	nan	PROPN
ejpam-5932	182	34	207	207	NUM
ejpam-5932	182	35	433	433	NUM
ejpam-5932	182	36	0.046658	0.046658	NUM
ejpam-5932	182	37	131	131	NUM
ejpam-5932	182	38	285	285	NUM
ejpam-5932	182	39	0.031851	0.031851	NUM
ejpam-5932	182	40	170	170	NUM
ejpam-5932	182	41	352	352	NUM
ejpam-5932	182	42	0.039766	0.039766	NUM
ejpam-5932	182	43	’	'	PUNCT
ejpam-5932	182	44	woods	wood	NOUN
ejpam-5932	182	45	’	'	PUNCT
ejpam-5932	182	46	5000	5000	NUM
ejpam-5932	183	1	nan	nan	PROPN
ejpam-5932	183	2	nan	nan	PROPN
ejpam-5932	183	3	nan	nan	PROPN
ejpam-5932	183	4	237	237	NUM
ejpam-5932	183	5	506	506	NUM
ejpam-5932	183	6	0.243439	0.243439	NUM
ejpam-5932	183	7	124	124	NUM
ejpam-5932	183	8	286	286	NUM
ejpam-5932	183	9	0.151039	0.151039	NUM
ejpam-5932	183	10	245	245	NUM
ejpam-5932	183	11	546	546	NUM
ejpam-5932	183	12	0.283006	0.283006	NUM
ejpam-5932	183	13	’	'	PUNCT
ejpam-5932	183	14	woods	wood	NOUN
ejpam-5932	183	15	’	'	PUNCT
ejpam-5932	183	16	10000	10000	NUM
ejpam-5932	183	17	515	515	NUM
ejpam-5932	183	18	653	653	NUM
ejpam-5932	183	19	0.626043	0.626043	NUM
ejpam-5932	183	20	176	176	NUM
ejpam-5932	183	21	383	383	NUM
ejpam-5932	183	22	0.350396	0.350396	NUM
ejpam-5932	183	23	139	139	NUM
ejpam-5932	183	24	345	345	NUM
ejpam-5932	183	25	0.317029	0.317029	NUM
ejpam-5932	183	26	125	125	NUM
ejpam-5932	183	27	287	287	NUM
ejpam-5932	183	28	0.276205	0.276205	NUM
ejpam-5932	183	29	’	'	PUNCT
ejpam-5932	183	30	bdexp	bdexp	NOUN
ejpam-5932	183	31	’	'	PUNCT
ejpam-5932	183	32	500	500	NUM
ejpam-5932	183	33	2	2	NUM
ejpam-5932	183	34	7	7	NUM
ejpam-5932	183	35	0.011732	0.011732	NUM
ejpam-5932	183	36	2	2	NUM
ejpam-5932	183	37	7	7	NUM
ejpam-5932	183	38	0.002199	0.002199	NUM
ejpam-5932	183	39	2	2	NUM
ejpam-5932	183	40	7	7	NUM
ejpam-5932	183	41	0.001729	0.001729	NUM
ejpam-5932	183	42	2	2	NUM
ejpam-5932	183	43	7	7	NUM
ejpam-5932	183	44	0.001717	0.001717	NUM
ejpam-5932	183	45	’	'	PUNCT
ejpam-5932	183	46	bdexp	bdexp	NOUN
ejpam-5932	183	47	’	'	PUNCT
ejpam-5932	183	48	1000	1000	NUM
ejpam-5932	183	49	2	2	NUM
ejpam-5932	183	50	7	7	NUM
ejpam-5932	183	51	0.003878	0.003878	NUM
ejpam-5932	183	52	2	2	NUM
ejpam-5932	183	53	7	7	NUM
ejpam-5932	183	54	0.004103	0.004103	NUM
ejpam-5932	183	55	2	2	NUM
ejpam-5932	183	56	7	7	NUM
ejpam-5932	183	57	0.004569	0.004569	NUM
ejpam-5932	183	58	2	2	NUM
ejpam-5932	183	59	7	7	NUM
ejpam-5932	183	60	0.003686	0.003686	NUM
ejpam-5932	183	61	’	'	PUNCT
ejpam-5932	183	62	bdexp	bdexp	NOUN
ejpam-5932	183	63	’	'	PUNCT
ejpam-5932	183	64	5000	5000	NUM
ejpam-5932	183	65	2	2	NUM
ejpam-5932	183	66	8	8	NUM
ejpam-5932	183	67	0.01844	0.01844	NUM
ejpam-5932	183	68	3	3	NUM
ejpam-5932	183	69	19	19	NUM
ejpam-5932	183	70	0.032291	0.032291	NUM
ejpam-5932	183	71	3	3	NUM
ejpam-5932	183	72	19	19	NUM
ejpam-5932	183	73	0.029448	0.029448	NUM
ejpam-5932	183	74	3	3	NUM
ejpam-5932	183	75	19	19	NUM
ejpam-5932	183	76	0.028148	0.028148	NUM
ejpam-5932	183	77	’	'	PUNCT
ejpam-5932	183	78	bdexp	bdexp	NOUN
ejpam-5932	183	79	’	'	PUNCT
ejpam-5932	183	80	10000	10000	NUM
ejpam-5932	183	81	2	2	NUM
ejpam-5932	183	82	9	9	NUM
ejpam-5932	183	83	0.042049	0.042049	NUM
ejpam-5932	183	84	2	2	NUM
ejpam-5932	183	85	9	9	NUM
ejpam-5932	183	86	0.042081	0.042081	NUM
ejpam-5932	183	87	2	2	NUM
ejpam-5932	183	88	9	9	NUM
ejpam-5932	183	89	0.042312	0.042312	NUM
ejpam-5932	183	90	2	2	NUM
ejpam-5932	183	91	9	9	NUM
ejpam-5932	183	92	0.044224	0.044224	NUM
ejpam-5932	183	93	’	'	PUNCT
ejpam-5932	183	94	exdenschnf	exdenschnf	NOUN
ejpam-5932	183	95	’	'	PUNCT
ejpam-5932	183	96	500	500	NUM
ejpam-5932	183	97	46	46	NUM
ejpam-5932	183	98	103	103	NUM
ejpam-5932	183	99	0.019623	0.019623	NUM
ejpam-5932	183	100	23	23	NUM
ejpam-5932	183	101	75	75	NUM
ejpam-5932	183	102	0.007377	0.007377	NUM
ejpam-5932	183	103	22	22	NUM
ejpam-5932	183	104	78	78	NUM
ejpam-5932	183	105	0.011364	0.011364	NUM
ejpam-5932	183	106	23	23	NUM
ejpam-5932	183	107	75	75	NUM
ejpam-5932	183	108	0.009551	0.009551	NUM
ejpam-5932	183	109	’	'	PUNCT
ejpam-5932	183	110	exdenschnf	exdenschnf	NOUN
ejpam-5932	183	111	’	'	PUNCT
ejpam-5932	183	112	1000	1000	NUM
ejpam-5932	183	113	56	56	NUM
ejpam-5932	183	114	113	113	NUM
ejpam-5932	183	115	0.020576	0.020576	NUM
ejpam-5932	183	116	25	25	NUM
ejpam-5932	183	117	80	80	NUM
ejpam-5932	183	118	0.015406	0.015406	NUM
ejpam-5932	183	119	29	29	NUM
ejpam-5932	183	120	84	84	NUM
ejpam-5932	183	121	0.016264	0.016264	NUM
ejpam-5932	183	122	28	28	NUM
ejpam-5932	183	123	85	85	NUM
ejpam-5932	183	124	0.020477	0.020477	NUM
ejpam-5932	183	125	’	'	PUNCT
ejpam-5932	183	126	exdenschnf	exdenschnf	ADJ
ejpam-5932	183	127	’	'	PUNCT
ejpam-5932	183	128	5000	5000	NUM
ejpam-5932	183	129	43	43	NUM
ejpam-5932	183	130	102	102	NUM
ejpam-5932	183	131	0.088943	0.088943	NUM
ejpam-5932	183	132	23	23	NUM
ejpam-5932	183	133	83	83	NUM
ejpam-5932	183	134	0.066448	0.066448	NUM
ejpam-5932	183	135	29	29	NUM
ejpam-5932	183	136	90	90	NUM
ejpam-5932	183	137	0.078213	0.078213	NUM
ejpam-5932	183	138	24	24	NUM
ejpam-5932	183	139	84	84	NUM
ejpam-5932	183	140	0.068349	0.068349	NUM
ejpam-5932	183	141	’	'	PUNCT
ejpam-5932	183	142	exdenschnf	exdenschnf	ADJ
ejpam-5932	183	143	’	'	PUNCT
ejpam-5932	183	144	10000	10000	NUM
ejpam-5932	183	145	35	35	NUM
ejpam-5932	183	146	98	98	NUM
ejpam-5932	183	147	0.153769	0.153769	NUM
ejpam-5932	183	148	27	27	NUM
ejpam-5932	183	149	90	90	NUM
ejpam-5932	183	150	0.141202	0.141202	NUM
ejpam-5932	183	151	23	23	NUM
ejpam-5932	183	152	96	96	NUM
ejpam-5932	183	153	0.15179	0.15179	NUM
ejpam-5932	183	154	27	27	NUM
ejpam-5932	183	155	90	90	NUM
ejpam-5932	183	156	0.139626	0.139626	NUM
ejpam-5932	183	157	’	'	PUNCT
ejpam-5932	183	158	biggsb1	biggsb1	NOUN
ejpam-5932	183	159	’	'	PUNCT
ejpam-5932	183	160	4	4	NUM
ejpam-5932	183	161	17	17	NUM
ejpam-5932	183	162	47	47	NUM
ejpam-5932	183	163	0.006482	0.006482	NUM
ejpam-5932	183	164	26	26	NUM
ejpam-5932	183	165	56	56	NUM
ejpam-5932	183	166	0.001628	0.001628	NUM
ejpam-5932	183	167	17	17	NUM
ejpam-5932	183	168	49	49	NUM
ejpam-5932	183	169	0.001473	0.001473	NUM
ejpam-5932	183	170	26	26	NUM
ejpam-5932	183	171	56	56	NUM
ejpam-5932	183	172	0.001858	0.001858	NUM
ejpam-5932	183	173	’	'	PUNCT
ejpam-5932	183	174	biggsb1	biggsb1	NOUN
ejpam-5932	183	175	’	'	PUNCT
ejpam-5932	183	176	10	10	NUM
ejpam-5932	183	177	36	36	NUM
ejpam-5932	183	178	73	73	NUM
ejpam-5932	183	179	0.003433	0.003433	NUM
ejpam-5932	183	180	35	35	NUM
ejpam-5932	183	181	77	77	NUM
ejpam-5932	183	182	0.003496	0.003496	NUM
ejpam-5932	183	183	46	46	NUM
ejpam-5932	183	184	93	93	NUM
ejpam-5932	183	185	0.005471	0.005471	NUM
ejpam-5932	183	186	35	35	NUM
ejpam-5932	183	187	77	77	NUM
ejpam-5932	183	188	0.003913	0.003913	NUM
ejpam-5932	183	189	’	'	PUNCT
ejpam-5932	183	190	biggsb1	biggsb1	NOUN
ejpam-5932	183	191	’	'	PUNCT
ejpam-5932	183	192	100	100	NUM
ejpam-5932	183	193	364	364	NUM
ejpam-5932	183	194	396	396	NUM
ejpam-5932	183	195	0.017962	0.017962	NUM
ejpam-5932	183	196	337	337	NUM
ejpam-5932	183	197	521	521	NUM
ejpam-5932	183	198	0.026132	0.026132	NUM
ejpam-5932	183	199	231	231	NUM
ejpam-5932	183	200	369	369	NUM
ejpam-5932	183	201	0.016808	0.016808	NUM
ejpam-5932	183	202	376	376	NUM
ejpam-5932	183	203	630	630	NUM
ejpam-5932	183	204	0.028446	0.028446	NUM
ejpam-5932	183	205	’	'	PUNCT
ejpam-5932	183	206	biggsb1	biggsb1	NOUN
ejpam-5932	183	207	’	'	PUNCT
ejpam-5932	183	208	500	500	NUM
ejpam-5932	183	209	1692	1692	NUM
ejpam-5932	183	210	1726	1726	NUM
ejpam-5932	183	211	0.107611	0.107611	NUM
ejpam-5932	183	212	1495	1495	NUM
ejpam-5932	183	213	2408	2408	NUM
ejpam-5932	183	214	0.148393	0.148393	NUM
ejpam-5932	183	215	1128	1128	NUM
ejpam-5932	183	216	1800	1800	NUM
ejpam-5932	183	217	0.117736	0.117736	NUM
ejpam-5932	183	218	1437	1437	NUM
ejpam-5932	183	219	2255	2255	NUM
ejpam-5932	183	220	0.144348	0.144348	NUM
ejpam-5932	183	221	’	'	PUNCT
ejpam-5932	183	222	power1	power1	NOUN
ejpam-5932	183	223	’	'	PUNCT
ejpam-5932	183	224	4	4	NUM
ejpam-5932	183	225	36	36	NUM
ejpam-5932	183	226	73	73	NUM
ejpam-5932	183	227	0.005881	0.005881	NUM
ejpam-5932	183	228	33	33	NUM
ejpam-5932	183	229	80	80	NUM
ejpam-5932	183	230	0.002146	0.002146	NUM
ejpam-5932	183	231	28	28	NUM
ejpam-5932	183	232	65	65	NUM
ejpam-5932	183	233	0.002168	0.002168	NUM
ejpam-5932	183	234	33	33	NUM
ejpam-5932	183	235	80	80	NUM
ejpam-5932	183	236	0.002568	0.002568	NUM
ejpam-5932	183	237	’	'	PUNCT
ejpam-5932	183	238	power1	power1	NOUN
ejpam-5932	183	239	’	'	PUNCT
ejpam-5932	183	240	10	10	NUM
ejpam-5932	183	241	95	95	NUM
ejpam-5932	183	242	141	141	NUM
ejpam-5932	183	243	0.005946	0.005946	NUM
ejpam-5932	183	244	76	76	NUM
ejpam-5932	183	245	128	128	NUM
ejpam-5932	183	246	0.003989	0.003989	NUM
ejpam-5932	183	247	81	81	NUM
ejpam-5932	183	248	155	155	NUM
ejpam-5932	183	249	0.006034	0.006034	NUM
ejpam-5932	183	250	74	74	NUM
ejpam-5932	183	251	125	125	NUM
ejpam-5932	183	252	0.005361	0.005361	NUM
ejpam-5932	183	253	’	'	PUNCT
ejpam-5932	183	254	power1	power1	NOUN
ejpam-5932	183	255	’	'	PUNCT
ejpam-5932	183	256	50	50	NUM
ejpam-5932	184	1	398	398	NUM
ejpam-5932	184	2	458	458	NUM
ejpam-5932	184	3	0.019117	0.019117	NUM
ejpam-5932	184	4	473	473	NUM
ejpam-5932	184	5	778	778	NUM
ejpam-5932	184	6	0.028975	0.028975	NUM
ejpam-5932	184	7	440	440	NUM
ejpam-5932	184	8	708	708	NUM
ejpam-5932	184	9	0.02847	0.02847	NUM
ejpam-5932	184	10	460	460	NUM
ejpam-5932	184	11	698	698	NUM
ejpam-5932	184	12	0.02841	0.02841	NUM
ejpam-5932	184	13	’	'	PUNCT
ejpam-5932	184	14	power1	power1	NOUN
ejpam-5932	184	15	’	'	PUNCT
ejpam-5932	184	16	100	100	NUM
ejpam-5932	184	17	933	933	NUM
ejpam-5932	184	18	1001	1001	NUM
ejpam-5932	184	19	0.040213	0.040213	NUM
ejpam-5932	184	20	999	999	NUM
ejpam-5932	184	21	1637	1637	NUM
ejpam-5932	184	22	0.058882	0.058882	NUM
ejpam-5932	184	23	817	817	NUM
ejpam-5932	184	24	1326	1326	NUM
ejpam-5932	184	25	0.057257	0.057257	NUM
ejpam-5932	184	26	1030	1030	NUM
ejpam-5932	184	27	1649	1649	NUM
ejpam-5932	184	28	0.072432	0.072432	NUM
ejpam-5932	184	29	’	'	PUNCT
ejpam-5932	184	30	diagonal1	diagonal1	ADJ
ejpam-5932	184	31	’	'	PUNCT
ejpam-5932	184	32	4	4	NUM
ejpam-5932	184	33	19	19	NUM
ejpam-5932	184	34	51	51	NUM
ejpam-5932	184	35	0.0055	0.0055	NUM
ejpam-5932	184	36	16	16	NUM
ejpam-5932	184	37	46	46	NUM
ejpam-5932	184	38	0.001338	0.001338	NUM
ejpam-5932	184	39	15	15	NUM
ejpam-5932	184	40	47	47	NUM
ejpam-5932	184	41	0.001364	0.001364	NUM
ejpam-5932	184	42	16	16	NUM
ejpam-5932	184	43	46	46	NUM
ejpam-5932	184	44	0.001381	0.001381	NUM
ejpam-5932	184	45	’	'	PUNCT
ejpam-5932	184	46	diagonal1	diagonal1	ADJ
ejpam-5932	184	47	’	'	PUNCT
ejpam-5932	184	48	10	10	NUM
ejpam-5932	184	49	31	31	NUM
ejpam-5932	184	50	69	69	NUM
ejpam-5932	184	51	0.003252	0.003252	NUM
ejpam-5932	184	52	22	22	NUM
ejpam-5932	184	53	62	62	NUM
ejpam-5932	184	54	0.003238	0.003238	NUM
ejpam-5932	184	55	28	28	NUM
ejpam-5932	184	56	65	65	NUM
ejpam-5932	184	57	0.002222	0.002222	NUM
ejpam-5932	184	58	22	22	NUM
ejpam-5932	184	59	62	62	NUM
ejpam-5932	184	60	0.002042	0.002042	NUM
ejpam-5932	184	61	’	'	PUNCT
ejpam-5932	184	62	diagonal1	diagonal1	ADJ
ejpam-5932	184	63	’	'	PUNCT
ejpam-5932	184	64	50	50	NUM
ejpam-5932	184	65	223	223	NUM
ejpam-5932	184	66	276	276	NUM
ejpam-5932	184	67	0.014341	0.014341	NUM
ejpam-5932	184	68	50	50	NUM
ejpam-5932	184	69	105	105	NUM
ejpam-5932	184	70	0.005477	0.005477	NUM
ejpam-5932	184	71	48	48	NUM
ejpam-5932	184	72	100	100	NUM
ejpam-5932	184	73	0.006636	0.006636	NUM
ejpam-5932	184	74	49	49	NUM
ejpam-5932	184	75	104	104	NUM
ejpam-5932	184	76	0.004142	0.004142	NUM
ejpam-5932	184	77	’	'	PUNCT
ejpam-5932	184	78	diagonal1	diagonal1	ADJ
ejpam-5932	184	79	’	'	PUNCT
ejpam-5932	184	80	100	100	NUM
ejpam-5932	184	81	204	204	NUM
ejpam-5932	184	82	258	258	NUM
ejpam-5932	184	83	0.017461	0.017461	NUM
ejpam-5932	184	84	70	70	NUM
ejpam-5932	184	85	140	140	NUM
ejpam-5932	184	86	0.008903	0.008903	NUM
ejpam-5932	184	87	73	73	NUM
ejpam-5932	184	88	139	139	NUM
ejpam-5932	184	89	0.007528	0.007528	NUM
ejpam-5932	184	90	68	68	NUM
ejpam-5932	184	91	137	137	NUM
ejpam-5932	184	92	0.006523	0.006523	NUM
ejpam-5932	184	93	’	'	PUNCT
ejpam-5932	184	94	singx	singx	NOUN
ejpam-5932	184	95	’	'	PUNCT
ejpam-5932	184	96	100	100	NUM
ejpam-5932	184	97	170	170	NUM
ejpam-5932	184	98	366	366	NUM
ejpam-5932	184	99	0.029554	0.029554	NUM
ejpam-5932	184	100	185	185	NUM
ejpam-5932	184	101	440	440	NUM
ejpam-5932	184	102	0.03583	0.03583	NUM
ejpam-5932	184	103	150	150	NUM
ejpam-5932	184	104	380	380	NUM
ejpam-5932	184	105	0.037192	0.037192	NUM
ejpam-5932	184	106	124	124	NUM
ejpam-5932	184	107	293	293	NUM
ejpam-5932	184	108	0.021211	0.021211	NUM
ejpam-5932	184	109	’	'	PUNCT
ejpam-5932	184	110	singx	singx	NOUN
ejpam-5932	184	111	’	'	PUNCT
ejpam-5932	184	112	500	500	NUM
ejpam-5932	184	113	238	238	NUM
ejpam-5932	185	1	502	502	NUM
ejpam-5932	185	2	0.798809	0.798809	NUM
ejpam-5932	185	3	205	205	NUM
ejpam-5932	185	4	474	474	NUM
ejpam-5932	185	5	0.753916	0.753916	NUM
ejpam-5932	185	6	152	152	NUM
ejpam-5932	185	7	365	365	NUM
ejpam-5932	185	8	0.605223	0.605223	NUM
ejpam-5932	185	9	94	94	NUM
ejpam-5932	185	10	240	240	NUM
ejpam-5932	185	11	0.386519	0.386519	NUM
ejpam-5932	185	12	’	'	PUNCT
ejpam-5932	185	13	lin	lin	PROPN
ejpam-5932	185	14	’	'	PUNCT
ejpam-5932	185	15	10	10	NUM
ejpam-5932	185	16	8	8	NUM
ejpam-5932	185	17	40	40	NUM
ejpam-5932	185	18	0.150211	0.150211	NUM
ejpam-5932	185	19	8	8	NUM
ejpam-5932	185	20	40	40	NUM
ejpam-5932	185	21	0.149828	0.149828	NUM
ejpam-5932	185	22	8	8	NUM
ejpam-5932	185	23	40	40	NUM
ejpam-5932	185	24	0.165787	0.165787	NUM
ejpam-5932	185	25	8	8	NUM
ejpam-5932	185	26	40	40	NUM
ejpam-5932	185	27	0.149329	0.149329	NUM
ejpam-5932	185	28	’	'	PUNCT
ejpam-5932	185	29	lin	lin	PROPN
ejpam-5932	185	30	’	'	PUNCT
ejpam-5932	185	31	100	100	NUM
ejpam-5932	185	32	10	10	NUM
ejpam-5932	185	33	51	51	NUM
ejpam-5932	185	34	0.362836	0.362836	NUM
ejpam-5932	185	35	10	10	NUM
ejpam-5932	185	36	51	51	NUM
ejpam-5932	185	37	0.348565	0.348565	NUM
ejpam-5932	185	38	10	10	NUM
ejpam-5932	185	39	51	51	NUM
ejpam-5932	185	40	0.352339	0.352339	NUM
ejpam-5932	185	41	10	10	NUM
ejpam-5932	185	42	51	51	NUM
ejpam-5932	185	43	0.356541	0.356541	NUM
ejpam-5932	185	44	’	'	PUNCT
ejpam-5932	185	45	lin	lin	PROPN
ejpam-5932	185	46	’	'	PUNCT
ejpam-5932	185	47	500	500	NUM
ejpam-5932	185	48	14	14	NUM
ejpam-5932	185	49	55	55	NUM
ejpam-5932	185	50	0.604231	0.604231	NUM
ejpam-5932	185	51	14	14	NUM
ejpam-5932	185	52	55	55	NUM
ejpam-5932	185	53	0.596905	0.596905	NUM
ejpam-5932	185	54	14	14	NUM
ejpam-5932	185	55	55	55	NUM
ejpam-5932	185	56	0.609829	0.609829	NUM
ejpam-5932	185	57	14	14	NUM
ejpam-5932	185	58	55	55	NUM
ejpam-5932	185	59	0.620677	0.620677	NUM
ejpam-5932	185	60	’	'	PUNCT
ejpam-5932	185	61	lin	lin	PROPN
ejpam-5932	185	62	’	'	PUNCT
ejpam-5932	185	63	1000	1000	NUM
ejpam-5932	185	64	12	12	NUM
ejpam-5932	185	65	61	61	NUM
ejpam-5932	185	66	37.77361	37.77361	NUM
ejpam-5932	185	67	12	12	NUM
ejpam-5932	185	68	61	61	NUM
ejpam-5932	185	69	37.48226	37.48226	NUM
ejpam-5932	185	70	12	12	NUM
ejpam-5932	185	71	61	61	NUM
ejpam-5932	185	72	37.69565	37.69565	NUM
ejpam-5932	185	73	12	12	NUM
ejpam-5932	185	74	61	61	NUM
ejpam-5932	185	75	37.33486	37.33486	NUM
ejpam-5932	185	76	a.	a.	NOUN
ejpam-5932	185	77	l.	l.	PROPN
ejpam-5932	185	78	ibrahim	ibrahim	PROPN
ejpam-5932	185	79	et	et	PROPN
ejpam-5932	185	80	al	al	PROPN
ejpam-5932	185	81	.	.	PUNCT
ejpam-5932	185	82	/	/	SYM
ejpam-5932	185	83	eur	eur	PROPN
ejpam-5932	185	84	.	.	PUNCT
ejpam-5932	186	1	j.	j.	PROPN
ejpam-5932	186	2	pure	pure	PROPN
ejpam-5932	186	3	appl	appl	PROPN
ejpam-5932	186	4	.	.	PROPN
ejpam-5932	186	5	math	math	PROPN
ejpam-5932	186	6	,	,	PUNCT
ejpam-5932	186	7	18	18	NUM
ejpam-5932	186	8	(	(	PUNCT
ejpam-5932	186	9	2	2	NUM
ejpam-5932	186	10	)	)	PUNCT
ejpam-5932	186	11	(	(	PUNCT
ejpam-5932	186	12	2025	2025	NUM
ejpam-5932	186	13	)	)	PUNCT
ejpam-5932	186	14	,	,	PUNCT
ejpam-5932	186	15	5932	5932	NUM
ejpam-5932	186	16	11	11	NUM
ejpam-5932	186	17	of	of	ADP
ejpam-5932	186	18	15	15	NUM
ejpam-5932	186	19	’	'	PUNCT
ejpam-5932	186	20	osb2	osb2	PROPN
ejpam-5932	186	21	’	'	PUNCT
ejpam-5932	186	22	11	11	NUM
ejpam-5932	187	1	nan	nan	PROPN
ejpam-5932	187	2	nan	nan	PROPN
ejpam-5932	187	3	nan	nan	PROPN
ejpam-5932	187	4	465	465	NUM
ejpam-5932	187	5	797	797	NUM
ejpam-5932	187	6	0.072565	0.072565	NUM
ejpam-5932	187	7	362	362	NUM
ejpam-5932	187	8	636	636	NUM
ejpam-5932	187	9	0.060535	0.060535	NUM
ejpam-5932	187	10	460	460	NUM
ejpam-5932	187	11	772	772	NUM
ejpam-5932	187	12	0.076487	0.076487	NUM
ejpam-5932	187	13	’	'	PUNCT
ejpam-5932	187	14	rosex	rosex	NOUN
ejpam-5932	187	15	’	'	PUNCT
ejpam-5932	187	16	50	50	NUM
ejpam-5932	187	17	127	127	NUM
ejpam-5932	187	18	275	275	NUM
ejpam-5932	187	19	0.017377	0.017377	NUM
ejpam-5932	187	20	64	64	NUM
ejpam-5932	187	21	213	213	NUM
ejpam-5932	187	22	0.011807	0.011807	NUM
ejpam-5932	187	23	41	41	NUM
ejpam-5932	187	24	138	138	NUM
ejpam-5932	187	25	0.009282	0.009282	NUM
ejpam-5932	187	26	54	54	NUM
ejpam-5932	187	27	179	179	NUM
ejpam-5932	187	28	0.011496	0.011496	NUM
ejpam-5932	187	29	’	'	PUNCT
ejpam-5932	187	30	rosex	rosex	NOUN
ejpam-5932	187	31	’	'	PUNCT
ejpam-5932	187	32	100	100	NUM
ejpam-5932	187	33	114	114	NUM
ejpam-5932	187	34	269	269	NUM
ejpam-5932	187	35	0.021787	0.021787	NUM
ejpam-5932	187	36	58	58	NUM
ejpam-5932	187	37	166	166	NUM
ejpam-5932	187	38	0.010547	0.010547	NUM
ejpam-5932	187	39	48	48	NUM
ejpam-5932	187	40	165	165	NUM
ejpam-5932	187	41	0.010602	0.010602	NUM
ejpam-5932	187	42	56	56	NUM
ejpam-5932	187	43	151	151	NUM
ejpam-5932	187	44	0.0093	0.0093	NUM
ejpam-5932	187	45	’	'	PUNCT
ejpam-5932	187	46	trid	trid	PROPN
ejpam-5932	187	47	’	'	PUNCT
ejpam-5932	187	48	500	500	NUM
ejpam-5932	187	49	154	154	NUM
ejpam-5932	187	50	201	201	NUM
ejpam-5932	187	51	0.271871	0.271871	NUM
ejpam-5932	187	52	30	30	NUM
ejpam-5932	187	53	76	76	NUM
ejpam-5932	187	54	0.094568	0.094568	NUM
ejpam-5932	187	55	31	31	NUM
ejpam-5932	187	56	76	76	NUM
ejpam-5932	187	57	0.097215	0.097215	NUM
ejpam-5932	187	58	30	30	NUM
ejpam-5932	187	59	76	76	NUM
ejpam-5932	187	60	0.107171	0.107171	NUM
ejpam-5932	187	61	’	'	PUNCT
ejpam-5932	187	62	trid	trid	PROPN
ejpam-5932	187	63	’	'	PUNCT
ejpam-5932	187	64	1000	1000	NUM
ejpam-5932	187	65	206	206	NUM
ejpam-5932	187	66	256	256	NUM
ejpam-5932	187	67	0.964584	0.964584	NUM
ejpam-5932	187	68	31	31	NUM
ejpam-5932	187	69	77	77	NUM
ejpam-5932	187	70	0.285915	0.285915	NUM
ejpam-5932	187	71	31	31	NUM
ejpam-5932	187	72	81	81	NUM
ejpam-5932	187	73	0.297505	0.297505	NUM
ejpam-5932	187	74	31	31	NUM
ejpam-5932	187	75	77	77	NUM
ejpam-5932	187	76	0.290174	0.290174	NUM
ejpam-5932	187	77	’	'	PUNCT
ejpam-5932	187	78	trid	trid	PROPN
ejpam-5932	187	79	’	'	PUNCT
ejpam-5932	187	80	5000	5000	NUM
ejpam-5932	187	81	404	404	NUM
ejpam-5932	187	82	457	457	NUM
ejpam-5932	187	83	38.05434	38.05434	NUM
ejpam-5932	187	84	35	35	NUM
ejpam-5932	187	85	86	86	NUM
ejpam-5932	187	86	7.110678	7.110678	NUM
ejpam-5932	187	87	34	34	NUM
ejpam-5932	187	88	84	84	NUM
ejpam-5932	187	89	6.892447	6.892447	NUM
ejpam-5932	187	90	35	35	NUM
ejpam-5932	187	91	86	86	NUM
ejpam-5932	187	92	6.994909	6.994909	NUM
ejpam-5932	187	93	’	'	PUNCT
ejpam-5932	187	94	trid	trid	PROPN
ejpam-5932	187	95	’	'	PUNCT
ejpam-5932	187	96	10000	10000	NUM
ejpam-5932	187	97	579	579	NUM
ejpam-5932	187	98	635	635	NUM
ejpam-5932	187	99	196.8889	196.8889	NUM
ejpam-5932	187	100	76	76	NUM
ejpam-5932	187	101	154	154	NUM
ejpam-5932	187	102	47.65638	47.65638	NUM
ejpam-5932	187	103	76	76	NUM
ejpam-5932	187	104	169	169	NUM
ejpam-5932	187	105	32.48472	32.48472	NUM
ejpam-5932	187	106	71	71	NUM
ejpam-5932	187	107	149	149	NUM
ejpam-5932	187	108	36.09446	36.09446	NUM
ejpam-5932	187	109	table	table	NOUN
ejpam-5932	187	110	2	2	NUM
ejpam-5932	187	111	:	:	PUNCT
ejpam-5932	187	112	comparison	comparison	NOUN
ejpam-5932	187	113	of	of	ADP
ejpam-5932	187	114	the	the	DET
ejpam-5932	187	115	proposed	propose	VERB
ejpam-5932	187	116	method	method	NOUN
ejpam-5932	187	117	with	with	ADP
ejpam-5932	187	118	hs	hs	PROPN
ejpam-5932	187	119	and	and	CCONJ
ejpam-5932	187	120	perry	perry	PROPN
ejpam-5932	187	121	algorithms	algorithms	PROPN
ejpam-5932	187	122	,	,	PUNCT
ejpam-5932	187	123	showing	show	VERB
ejpam-5932	187	124	percentage	percentage	NOUN
ejpam-5932	187	125	improvements	improvement	NOUN
ejpam-5932	187	126	in	in	ADP
ejpam-5932	187	127	ni	ni	PROPN
ejpam-5932	187	128	,	,	PUNCT
ejpam-5932	187	129	nf	nf	ADJ
ejpam-5932	187	130	,	,	PUNCT
ejpam-5932	187	131	and	and	CCONJ
ejpam-5932	187	132	cput	cput	ADJ
ejpam-5932	187	133	.	.	PUNCT
ejpam-5932	188	1	comparison	comparison	NOUN
ejpam-5932	188	2	with	with	ADP
ejpam-5932	188	3	hs	hs	PROPN
ejpam-5932	188	4	metric	metric	PROPN
ejpam-5932	188	5	hs	hs	PROPN
ejpam-5932	188	6	new	new	ADJ
ejpam-5932	188	7	new	new	ADJ
ejpam-5932	188	8	(	(	PUNCT
ejpam-5932	188	9	ϵm	ϵm	NOUN
ejpam-5932	188	10	=	=	SYM
ejpam-5932	188	11	1	1	X
ejpam-5932	188	12	)	)	PUNCT
ejpam-5932	188	13	ni	ni	NOUN
ejpam-5932	188	14	100	100	NUM
ejpam-5932	188	15	%	%	NOUN
ejpam-5932	188	16	39.30	39.30	NUM
ejpam-5932	188	17	%	%	NOUN
ejpam-5932	188	18	43.95	43.95	NUM
ejpam-5932	188	19	%	%	NOUN
ejpam-5932	188	20	nf	nf	NOUN
ejpam-5932	188	21	100	100	NUM
ejpam-5932	188	22	%	%	NOUN
ejpam-5932	188	23	51.86	51.86	NUM
ejpam-5932	188	24	%	%	NOUN
ejpam-5932	188	25	55.36	55.36	NUM
ejpam-5932	188	26	%	%	NOUN
ejpam-5932	188	27	cput	cput	ADJ
ejpam-5932	188	28	100	100	NUM
ejpam-5932	188	29	%	%	NOUN
ejpam-5932	188	30	37.72	37.72	NUM
ejpam-5932	188	31	%	%	NOUN
ejpam-5932	188	32	39.03	39.03	NUM
ejpam-5932	188	33	%	%	NOUN
ejpam-5932	188	34	comparison	comparison	NOUN
ejpam-5932	188	35	with	with	ADP
ejpam-5932	188	36	perry	perry	PROPN
ejpam-5932	188	37	metric	metric	PROPN
ejpam-5932	188	38	perry	perry	PROPN
ejpam-5932	188	39	new	new	ADJ
ejpam-5932	188	40	new	new	ADJ
ejpam-5932	188	41	(	(	PUNCT
ejpam-5932	188	42	ϵm	ϵm	NOUN
ejpam-5932	188	43	=	=	SYM
ejpam-5932	188	44	1	1	X
ejpam-5932	188	45	)	)	PUNCT
ejpam-5932	188	46	ni	ni	NOUN
ejpam-5932	188	47	100	100	NUM
ejpam-5932	188	48	%	%	NOUN
ejpam-5932	188	49	81.35	81.35	NUM
ejpam-5932	188	50	%	%	NOUN
ejpam-5932	188	51	90.98	90.98	NUM
ejpam-5932	188	52	%	%	NOUN
ejpam-5932	188	53	nf	nf	NOUN
ejpam-5932	188	54	100	100	NUM
ejpam-5932	188	55	%	%	NOUN
ejpam-5932	188	56	84.30	84.30	NUM
ejpam-5932	188	57	%	%	NOUN
ejpam-5932	188	58	90.00	90.00	NUM
ejpam-5932	188	59	%	%	NOUN
ejpam-5932	188	60	cput	cput	ADJ
ejpam-5932	188	61	100	100	NUM
ejpam-5932	188	62	%	%	NOUN
ejpam-5932	188	63	93.08	93.08	NUM
ejpam-5932	188	64	%	%	NOUN
ejpam-5932	188	65	96.32	96.32	NUM
ejpam-5932	188	66	%	%	NOUN
ejpam-5932	188	67	the	the	DET
ejpam-5932	188	68	comparison	comparison	NOUN
ejpam-5932	188	69	shown	show	VERB
ejpam-5932	188	70	in	in	ADP
ejpam-5932	188	71	table	table	NOUN
ejpam-5932	188	72	2	2	NUM
ejpam-5932	188	73	highlights	highlight	NOUN
ejpam-5932	188	74	the	the	DET
ejpam-5932	188	75	performance	performance	NOUN
ejpam-5932	188	76	of	of	ADP
ejpam-5932	188	77	the	the	DET
ejpam-5932	188	78	proposed	propose	VERB
ejpam-5932	188	79	method	method	NOUN
ejpam-5932	188	80	compared	compare	VERB
ejpam-5932	188	81	to	to	ADP
ejpam-5932	188	82	the	the	DET
ejpam-5932	188	83	classical	classical	ADJ
ejpam-5932	188	84	hs	hs	PROPN
ejpam-5932	188	85	and	and	CCONJ
ejpam-5932	188	86	perry	perry	PROPN
ejpam-5932	188	87	algorithms	algorithms	PROPN
ejpam-5932	188	88	,	,	PUNCT
ejpam-5932	188	89	focusing	focus	VERB
ejpam-5932	188	90	on	on	ADP
ejpam-5932	188	91	three	three	NUM
ejpam-5932	188	92	key	key	ADJ
ejpam-5932	188	93	metrics	metric	NOUN
ejpam-5932	188	94	(	(	PUNCT
ejpam-5932	188	95	ni	ni	PROPN
ejpam-5932	188	96	,	,	PUNCT
ejpam-5932	188	97	nf	nf	ADJ
ejpam-5932	188	98	and	and	CCONJ
ejpam-5932	188	99	cput	cput	ADJ
ejpam-5932	188	100	):	):	PUNCT
ejpam-5932	188	101	comparison	comparison	NOUN
ejpam-5932	188	102	with	with	ADP
ejpam-5932	188	103	hs	hs	PROPN
ejpam-5932	188	104	•	•	PROPN
ejpam-5932	188	105	ni	ni	PROPN
ejpam-5932	188	106	:	:	PUNCT
ejpam-5932	188	107	the	the	DET
ejpam-5932	188	108	new	new	ADJ
ejpam-5932	188	109	method	method	NOUN
ejpam-5932	188	110	achieves	achieve	VERB
ejpam-5932	188	111	an	an	DET
ejpam-5932	188	112	improvement	improvement	NOUN
ejpam-5932	188	113	of	of	ADP
ejpam-5932	188	114	60.70	60.70	NUM
ejpam-5932	188	115	%	%	NOUN
ejpam-5932	188	116	,	,	PUNCT
ejpam-5932	188	117	and	and	CCONJ
ejpam-5932	188	118	with	with	ADP
ejpam-5932	188	119	the	the	DET
ejpam-5932	188	120	specific	specific	ADJ
ejpam-5932	188	121	case	case	NOUN
ejpam-5932	188	122	(	(	PUNCT
ejpam-5932	188	123	ϵm	ϵm	NOUN
ejpam-5932	188	124	=	=	NOUN
ejpam-5932	188	125	1	1	NUM
ejpam-5932	188	126	)	)	PUNCT
ejpam-5932	188	127	,	,	PUNCT
ejpam-5932	188	128	the	the	DET
ejpam-5932	188	129	improvement	improvement	NOUN
ejpam-5932	188	130	slightly	slightly	ADV
ejpam-5932	188	131	decreases	decrease	VERB
ejpam-5932	188	132	to	to	ADP
ejpam-5932	188	133	56.05	56.05	NUM
ejpam-5932	188	134	%	%	NOUN
ejpam-5932	188	135	.	.	PUNCT
ejpam-5932	189	1	•	•	NUM
ejpam-5932	189	2	nf	nf	INTJ
ejpam-5932	189	3	:	:	PUNCT
ejpam-5932	189	4	the	the	DET
ejpam-5932	189	5	new	new	ADJ
ejpam-5932	189	6	method	method	NOUN
ejpam-5932	189	7	shows	show	VERB
ejpam-5932	189	8	a	a	DET
ejpam-5932	189	9	48.14	48.14	NUM
ejpam-5932	189	10	%	%	NOUN
ejpam-5932	189	11	improvement	improvement	NOUN
ejpam-5932	189	12	,	,	PUNCT
ejpam-5932	189	13	which	which	PRON
ejpam-5932	189	14	further	far	ADV
ejpam-5932	189	15	increases	increase	VERB
ejpam-5932	189	16	to	to	ADP
ejpam-5932	189	17	44.64	44.64	NUM
ejpam-5932	189	18	%	%	NOUN
ejpam-5932	189	19	in	in	ADP
ejpam-5932	189	20	the	the	DET
ejpam-5932	189	21	specific	specific	ADJ
ejpam-5932	189	22	case	case	NOUN
ejpam-5932	189	23	.	.	PUNCT
ejpam-5932	190	1	•	•	NUM
ejpam-5932	190	2	cput	cput	NOUN
ejpam-5932	190	3	:	:	PUNCT
ejpam-5932	190	4	the	the	DET
ejpam-5932	190	5	time	time	NOUN
ejpam-5932	190	6	is	be	AUX
ejpam-5932	190	7	reduced	reduce	VERB
ejpam-5932	190	8	by	by	ADP
ejpam-5932	190	9	62.28	62.28	NUM
ejpam-5932	190	10	%	%	NOUN
ejpam-5932	190	11	,	,	PUNCT
ejpam-5932	190	12	and	and	CCONJ
ejpam-5932	190	13	in	in	ADP
ejpam-5932	190	14	the	the	DET
ejpam-5932	190	15	specific	specific	ADJ
ejpam-5932	190	16	case	case	NOUN
ejpam-5932	190	17	,	,	PUNCT
ejpam-5932	190	18	it	it	PRON
ejpam-5932	190	19	is	be	AUX
ejpam-5932	190	20	reduced	reduce	VERB
ejpam-5932	190	21	by	by	ADP
ejpam-5932	190	22	60.97	60.97	NUM
ejpam-5932	190	23	%	%	NOUN
ejpam-5932	190	24	.	.	PUNCT
ejpam-5932	191	1	comparison	comparison	NOUN
ejpam-5932	191	2	with	with	ADP
ejpam-5932	191	3	perry	perry	PROPN
ejpam-5932	191	4	•	•	PROPN
ejpam-5932	191	5	ni	ni	PROPN
ejpam-5932	191	6	:	:	PUNCT
ejpam-5932	191	7	the	the	DET
ejpam-5932	191	8	proposed	propose	VERB
ejpam-5932	191	9	method	method	NOUN
ejpam-5932	191	10	shows	show	VERB
ejpam-5932	191	11	a	a	DET
ejpam-5932	191	12	significant	significant	ADJ
ejpam-5932	191	13	improvement	improvement	NOUN
ejpam-5932	191	14	of	of	ADP
ejpam-5932	191	15	18.65	18.65	NUM
ejpam-5932	191	16	%	%	NOUN
ejpam-5932	191	17	,	,	PUNCT
ejpam-5932	191	18	and	and	CCONJ
ejpam-5932	191	19	in	in	ADP
ejpam-5932	191	20	the	the	DET
ejpam-5932	191	21	specific	specific	ADJ
ejpam-5932	191	22	case	case	NOUN
ejpam-5932	191	23	,	,	PUNCT
ejpam-5932	191	24	it	it	PRON
ejpam-5932	191	25	improves	improve	VERB
ejpam-5932	191	26	further	far	ADV
ejpam-5932	191	27	to	to	ADP
ejpam-5932	191	28	9.02	9.02	NUM
ejpam-5932	191	29	%	%	NOUN
ejpam-5932	191	30	.	.	PUNCT
ejpam-5932	192	1	•	•	NUM
ejpam-5932	192	2	nf	nf	INTJ
ejpam-5932	192	3	:	:	PUNCT
ejpam-5932	192	4	an	an	DET
ejpam-5932	192	5	improvement	improvement	NOUN
ejpam-5932	192	6	of	of	ADP
ejpam-5932	192	7	15.70	15.70	NUM
ejpam-5932	192	8	%	%	NOUN
ejpam-5932	192	9	is	be	AUX
ejpam-5932	192	10	observed	observe	VERB
ejpam-5932	192	11	,	,	PUNCT
ejpam-5932	192	12	which	which	PRON
ejpam-5932	192	13	reaches	reach	VERB
ejpam-5932	192	14	10.00	10.00	NUM
ejpam-5932	192	15	%	%	NOUN
ejpam-5932	192	16	in	in	ADP
ejpam-5932	192	17	the	the	DET
ejpam-5932	192	18	specific	specific	ADJ
ejpam-5932	192	19	case	case	NOUN
ejpam-5932	192	20	.	.	PUNCT
ejpam-5932	193	1	a.	a.	PROPN
ejpam-5932	193	2	l.	l.	PROPN
ejpam-5932	193	3	ibrahim	ibrahim	PROPN
ejpam-5932	193	4	et	et	PROPN
ejpam-5932	193	5	al	al	PROPN
ejpam-5932	193	6	.	.	PUNCT
ejpam-5932	193	7	/	/	SYM
ejpam-5932	193	8	eur	eur	PROPN
ejpam-5932	193	9	.	.	PUNCT
ejpam-5932	194	1	j.	j.	PROPN
ejpam-5932	194	2	pure	pure	PROPN
ejpam-5932	194	3	appl	appl	PROPN
ejpam-5932	194	4	.	.	PROPN
ejpam-5932	194	5	math	math	PROPN
ejpam-5932	194	6	,	,	PUNCT
ejpam-5932	194	7	18	18	NUM
ejpam-5932	194	8	(	(	PUNCT
ejpam-5932	194	9	2	2	NUM
ejpam-5932	194	10	)	)	PUNCT
ejpam-5932	194	11	(	(	PUNCT
ejpam-5932	194	12	2025	2025	NUM
ejpam-5932	194	13	)	)	PUNCT
ejpam-5932	194	14	,	,	PUNCT
ejpam-5932	194	15	5932	5932	NUM
ejpam-5932	194	16	12	12	NUM
ejpam-5932	194	17	of	of	ADP
ejpam-5932	194	18	15	15	NUM
ejpam-5932	194	19	•	•	NUM
ejpam-5932	194	20	cput	cput	NOUN
ejpam-5932	194	21	:	:	PUNCT
ejpam-5932	194	22	the	the	DET
ejpam-5932	194	23	computational	computational	ADJ
ejpam-5932	194	24	time	time	NOUN
ejpam-5932	194	25	decreases	decrease	VERB
ejpam-5932	194	26	by	by	ADP
ejpam-5932	194	27	6.92	6.92	NUM
ejpam-5932	194	28	%	%	NOUN
ejpam-5932	194	29	,	,	PUNCT
ejpam-5932	194	30	and	and	CCONJ
ejpam-5932	194	31	in	in	ADP
ejpam-5932	194	32	the	the	DET
ejpam-5932	194	33	specific	specific	ADJ
ejpam-5932	194	34	case	case	NOUN
ejpam-5932	194	35	,	,	PUNCT
ejpam-5932	194	36	it	it	PRON
ejpam-5932	194	37	improves	improve	VERB
ejpam-5932	194	38	even	even	ADV
ejpam-5932	194	39	further	far	ADV
ejpam-5932	194	40	to	to	ADP
ejpam-5932	194	41	3.68	3.68	NUM
ejpam-5932	194	42	%	%	NOUN
ejpam-5932	194	43	.	.	PUNCT
ejpam-5932	195	1	from	from	ADP
ejpam-5932	195	2	table	table	NOUN
ejpam-5932	195	3	2	2	NUM
ejpam-5932	195	4	,	,	PUNCT
ejpam-5932	195	5	it	it	PRON
ejpam-5932	195	6	is	be	AUX
ejpam-5932	195	7	evident	evident	ADJ
ejpam-5932	195	8	that	that	SCONJ
ejpam-5932	195	9	the	the	DET
ejpam-5932	195	10	proposed	propose	VERB
ejpam-5932	195	11	method	method	NOUN
ejpam-5932	195	12	outperforms	outperform	VERB
ejpam-5932	195	13	the	the	DET
ejpam-5932	195	14	hs	hs	PROPN
ejpam-5932	195	15	and	and	CCONJ
ejpam-5932	195	16	perry	perry	PROPN
ejpam-5932	195	17	algorithms	algorithm	NOUN
ejpam-5932	195	18	in	in	ADP
ejpam-5932	195	19	terms	term	NOUN
ejpam-5932	195	20	of	of	ADP
ejpam-5932	195	21	efficiency	efficiency	NOUN
ejpam-5932	195	22	,	,	PUNCT
ejpam-5932	195	23	requiring	require	VERB
ejpam-5932	195	24	fewer	few	ADJ
ejpam-5932	195	25	iterations	iteration	NOUN
ejpam-5932	195	26	,	,	PUNCT
ejpam-5932	195	27	fewer	few	ADJ
ejpam-5932	195	28	function	function	NOUN
ejpam-5932	195	29	evaluations	evaluation	NOUN
ejpam-5932	195	30	,	,	PUNCT
ejpam-5932	195	31	and	and	CCONJ
ejpam-5932	195	32	less	less	ADJ
ejpam-5932	195	33	computation	computation	NOUN
ejpam-5932	195	34	time	time	NOUN
ejpam-5932	195	35	.	.	PUNCT
ejpam-5932	196	1	the	the	DET
ejpam-5932	196	2	specific	specific	ADJ
ejpam-5932	196	3	case	case	NOUN
ejpam-5932	196	4	(	(	PUNCT
ejpam-5932	196	5	ϵm	ϵm	NOUN
ejpam-5932	196	6	=	=	SYM
ejpam-5932	196	7	1	1	X
ejpam-5932	196	8	)	)	PUNCT
ejpam-5932	196	9	further	far	ADV
ejpam-5932	196	10	enhances	enhance	VERB
ejpam-5932	196	11	the	the	DET
ejpam-5932	196	12	performance	performance	NOUN
ejpam-5932	196	13	,	,	PUNCT
ejpam-5932	196	14	particularly	particularly	ADV
ejpam-5932	196	15	in	in	ADP
ejpam-5932	196	16	reducing	reduce	VERB
ejpam-5932	196	17	the	the	DET
ejpam-5932	196	18	computation	computation	NOUN
ejpam-5932	196	19	time	time	NOUN
ejpam-5932	196	20	.	.	PUNCT
ejpam-5932	197	1	this	this	PRON
ejpam-5932	197	2	demonstrates	demonstrate	VERB
ejpam-5932	197	3	the	the	DET
ejpam-5932	197	4	robustness	robustness	NOUN
ejpam-5932	197	5	and	and	CCONJ
ejpam-5932	197	6	efficiency	efficiency	NOUN
ejpam-5932	197	7	of	of	ADP
ejpam-5932	197	8	the	the	DET
ejpam-5932	197	9	new	new	ADJ
ejpam-5932	197	10	method	method	NOUN
ejpam-5932	197	11	compared	compare	VERB
ejpam-5932	197	12	to	to	ADP
ejpam-5932	197	13	traditional	traditional	ADJ
ejpam-5932	197	14	approaches	approach	NOUN
ejpam-5932	197	15	.	.	PUNCT
ejpam-5932	198	1	0	0	NUM
ejpam-5932	198	2	0.5	0.5	NUM
ejpam-5932	198	3	1	1	NUM
ejpam-5932	198	4	1.5	1.5	NUM
ejpam-5932	198	5	2	2	NUM
ejpam-5932	198	6	2.5	2.5	NUM
ejpam-5932	198	7	0	0	NUM
ejpam-5932	198	8	0.1	0.1	NUM
ejpam-5932	198	9	0.2	0.2	NUM
ejpam-5932	198	10	0.3	0.3	NUM
ejpam-5932	198	11	0.4	0.4	NUM
ejpam-5932	198	12	0.5	0.5	NUM
ejpam-5932	198	13	0.6	0.6	NUM
ejpam-5932	198	14	0.7	0.7	NUM
ejpam-5932	198	15	0.8	0.8	NUM
ejpam-5932	198	16	0.9	0.9	NUM
ejpam-5932	198	17	1	1	NUM
ejpam-5932	198	18	τ	τ	PROPN
ejpam-5932	198	19	p	p	X
ejpam-5932	198	20	s	s	X
ejpam-5932	198	21	(	(	PUNCT
ejpam-5932	198	22	τ	τ	PROPN
ejpam-5932	198	23	)	)	PUNCT
ejpam-5932	198	24	hs	hs	PROPN
ejpam-5932	198	25	perry	perry	PROPN
ejpam-5932	198	26	new	new	PROPN
ejpam-5932	198	27	new(ε	new(ε	PROPN
ejpam-5932	198	28	m	m	PROPN
ejpam-5932	198	29	=	=	NOUN
ejpam-5932	198	30	1	1	NUM
ejpam-5932	198	31	)	)	PUNCT
ejpam-5932	198	32	(	(	PUNCT
ejpam-5932	198	33	a	a	X
ejpam-5932	198	34	)	)	PUNCT
ejpam-5932	198	35	performance	performance	NOUN
ejpam-5932	198	36	profile	profile	NOUN
ejpam-5932	198	37	for	for	ADP
ejpam-5932	198	38	ni	ni	PROPN
ejpam-5932	198	39	.	.	PROPN
ejpam-5932	198	40	0	0	NUM
ejpam-5932	199	1	0.5	0.5	NUM
ejpam-5932	199	2	1	1	NUM
ejpam-5932	199	3	1.5	1.5	NUM
ejpam-5932	199	4	2	2	NUM
ejpam-5932	199	5	2.5	2.5	NUM
ejpam-5932	199	6	0	0	NUM
ejpam-5932	199	7	0.1	0.1	NUM
ejpam-5932	199	8	0.2	0.2	NUM
ejpam-5932	199	9	0.3	0.3	NUM
ejpam-5932	199	10	0.4	0.4	NUM
ejpam-5932	199	11	0.5	0.5	NUM
ejpam-5932	199	12	0.6	0.6	NUM
ejpam-5932	199	13	0.7	0.7	NUM
ejpam-5932	199	14	0.8	0.8	NUM
ejpam-5932	199	15	0.9	0.9	NUM
ejpam-5932	199	16	1	1	NUM
ejpam-5932	199	17	τ	τ	PROPN
ejpam-5932	199	18	p	p	X
ejpam-5932	199	19	s	s	X
ejpam-5932	199	20	(	(	PUNCT
ejpam-5932	199	21	τ	τ	PROPN
ejpam-5932	199	22	)	)	PUNCT
ejpam-5932	199	23	hs	hs	PROPN
ejpam-5932	199	24	perry	perry	PROPN
ejpam-5932	199	25	new	new	PROPN
ejpam-5932	199	26	new(ε	new(ε	PROPN
ejpam-5932	199	27	m	m	PROPN
ejpam-5932	199	28	=	=	NOUN
ejpam-5932	199	29	1	1	NUM
ejpam-5932	199	30	)	)	PUNCT
ejpam-5932	199	31	(	(	PUNCT
ejpam-5932	199	32	b	b	X
ejpam-5932	199	33	)	)	PUNCT
ejpam-5932	199	34	performance	performance	NOUN
ejpam-5932	199	35	profile	profile	NOUN
ejpam-5932	199	36	for	for	ADP
ejpam-5932	199	37	nf	nf	NOUN
ejpam-5932	199	38	.	.	PUNCT
ejpam-5932	199	39	0	0	NUM
ejpam-5932	199	40	0.5	0.5	NUM
ejpam-5932	199	41	1	1	NUM
ejpam-5932	199	42	1.5	1.5	NUM
ejpam-5932	199	43	2	2	NUM
ejpam-5932	199	44	2.5	2.5	NUM
ejpam-5932	199	45	0	0	NUM
ejpam-5932	199	46	0.1	0.1	NUM
ejpam-5932	199	47	0.2	0.2	NUM
ejpam-5932	199	48	0.3	0.3	NUM
ejpam-5932	199	49	0.4	0.4	NUM
ejpam-5932	199	50	0.5	0.5	NUM
ejpam-5932	199	51	0.6	0.6	NUM
ejpam-5932	199	52	0.7	0.7	NUM
ejpam-5932	199	53	0.8	0.8	NUM
ejpam-5932	199	54	0.9	0.9	NUM
ejpam-5932	199	55	1	1	NUM
ejpam-5932	199	56	τ	τ	PROPN
ejpam-5932	199	57	p	p	X
ejpam-5932	199	58	s	s	X
ejpam-5932	199	59	(	(	PUNCT
ejpam-5932	199	60	τ	τ	PROPN
ejpam-5932	199	61	)	)	PUNCT
ejpam-5932	199	62	hs	hs	PROPN
ejpam-5932	199	63	perry	perry	PROPN
ejpam-5932	199	64	new	new	PROPN
ejpam-5932	199	65	new(ε	new(ε	PROPN
ejpam-5932	199	66	m	m	PROPN
ejpam-5932	199	67	=	=	NOUN
ejpam-5932	199	68	1	1	NUM
ejpam-5932	199	69	)	)	PUNCT
ejpam-5932	199	70	(	(	PUNCT
ejpam-5932	199	71	c	c	X
ejpam-5932	199	72	)	)	PUNCT
ejpam-5932	199	73	performance	performance	NOUN
ejpam-5932	199	74	profile	profile	NOUN
ejpam-5932	199	75	for	for	ADP
ejpam-5932	199	76	cput	cput	NOUN
ejpam-5932	199	77	.	.	PUNCT
ejpam-5932	200	1	figure	figure	NOUN
ejpam-5932	200	2	1	1	NUM
ejpam-5932	200	3	:	:	PUNCT
ejpam-5932	200	4	performance	performance	NOUN
ejpam-5932	200	5	profiles	profile	NOUN
ejpam-5932	200	6	for	for	ADP
ejpam-5932	200	7	(	(	PUNCT
ejpam-5932	200	8	a	a	PRON
ejpam-5932	200	9	)	)	PUNCT
ejpam-5932	200	10	ni	ni	PROPN
ejpam-5932	200	11	,	,	PUNCT
ejpam-5932	200	12	(	(	PUNCT
ejpam-5932	200	13	b	b	X
ejpam-5932	200	14	)	)	PUNCT
ejpam-5932	200	15	nf	nf	NOUN
ejpam-5932	200	16	,	,	PUNCT
ejpam-5932	200	17	and	and	CCONJ
ejpam-5932	200	18	(	(	PUNCT
ejpam-5932	200	19	c	c	NOUN
ejpam-5932	200	20	)	)	PUNCT
ejpam-5932	200	21	cput	cput	NOUN
ejpam-5932	200	22	.	.	PUNCT
ejpam-5932	201	1	a.	a.	PROPN
ejpam-5932	201	2	l.	l.	PROPN
ejpam-5932	201	3	ibrahim	ibrahim	PROPN
ejpam-5932	201	4	et	et	PROPN
ejpam-5932	201	5	al	al	PROPN
ejpam-5932	201	6	.	.	PUNCT
ejpam-5932	201	7	/	/	SYM
ejpam-5932	201	8	eur	eur	PROPN
ejpam-5932	201	9	.	.	PUNCT
ejpam-5932	202	1	j.	j.	PROPN
ejpam-5932	202	2	pure	pure	PROPN
ejpam-5932	202	3	appl	appl	PROPN
ejpam-5932	202	4	.	.	PROPN
ejpam-5932	202	5	math	math	PROPN
ejpam-5932	202	6	,	,	PUNCT
ejpam-5932	202	7	18	18	NUM
ejpam-5932	202	8	(	(	PUNCT
ejpam-5932	202	9	2	2	NUM
ejpam-5932	202	10	)	)	PUNCT
ejpam-5932	202	11	(	(	PUNCT
ejpam-5932	202	12	2025	2025	NUM
ejpam-5932	202	13	)	)	PUNCT
ejpam-5932	202	14	,	,	PUNCT
ejpam-5932	202	15	5932	5932	NUM
ejpam-5932	202	16	13	13	NUM
ejpam-5932	202	17	of	of	ADP
ejpam-5932	202	18	15	15	NUM
ejpam-5932	202	19	6	6	NUM
ejpam-5932	202	20	.	.	PUNCT
ejpam-5932	203	1	conclusion	conclusion	NOUN
ejpam-5932	203	2	in	in	ADP
ejpam-5932	203	3	this	this	DET
ejpam-5932	203	4	paper	paper	NOUN
ejpam-5932	203	5	,	,	PUNCT
ejpam-5932	203	6	a	a	DET
ejpam-5932	203	7	new	new	ADJ
ejpam-5932	203	8	method	method	NOUN
ejpam-5932	203	9	for	for	ADP
ejpam-5932	203	10	solving	solve	VERB
ejpam-5932	203	11	unconstrained	unconstrained	ADJ
ejpam-5932	203	12	optimization	optimization	NOUN
ejpam-5932	203	13	problems	problem	NOUN
ejpam-5932	203	14	based	base	VERB
ejpam-5932	203	15	on	on	ADP
ejpam-5932	203	16	the	the	DET
ejpam-5932	203	17	cg	cg	NOUN
ejpam-5932	203	18	algorithm	algorithm	NOUN
ejpam-5932	203	19	was	be	AUX
ejpam-5932	203	20	proposed	propose	VERB
ejpam-5932	203	21	.	.	PUNCT
ejpam-5932	204	1	to	to	PART
ejpam-5932	204	2	evaluate	evaluate	VERB
ejpam-5932	204	3	its	its	PRON
ejpam-5932	204	4	efficiency	efficiency	NOUN
ejpam-5932	204	5	,	,	PUNCT
ejpam-5932	204	6	the	the	DET
ejpam-5932	204	7	new	new	ADJ
ejpam-5932	204	8	method	method	NOUN
ejpam-5932	204	9	was	be	AUX
ejpam-5932	204	10	compared	compare	VERB
ejpam-5932	204	11	with	with	ADP
ejpam-5932	204	12	the	the	DET
ejpam-5932	204	13	classical	classical	ADJ
ejpam-5932	204	14	hs	hs	PROPN
ejpam-5932	204	15	and	and	CCONJ
ejpam-5932	204	16	perry	perry	PROPN
ejpam-5932	204	17	methods	method	NOUN
ejpam-5932	204	18	using	use	VERB
ejpam-5932	204	19	three	three	NUM
ejpam-5932	204	20	performance	performance	NOUN
ejpam-5932	204	21	metrics	metric	NOUN
ejpam-5932	204	22	:	:	PUNCT
ejpam-5932	204	23	the	the	DET
ejpam-5932	204	24	ni	ni	PROPN
ejpam-5932	204	25	,	,	PUNCT
ejpam-5932	204	26	nf	nf	ADJ
ejpam-5932	204	27	,	,	PUNCT
ejpam-5932	204	28	and	and	CCONJ
ejpam-5932	204	29	cput	cput	ADJ
ejpam-5932	204	30	.	.	PUNCT
ejpam-5932	205	1	as	as	SCONJ
ejpam-5932	205	2	shown	show	VERB
ejpam-5932	205	3	in	in	ADP
ejpam-5932	205	4	table	table	NOUN
ejpam-5932	205	5	2	2	NUM
ejpam-5932	205	6	,	,	PUNCT
ejpam-5932	205	7	the	the	DET
ejpam-5932	205	8	new	new	ADJ
ejpam-5932	205	9	method	method	NOUN
ejpam-5932	205	10	demonstrated	demonstrate	VERB
ejpam-5932	205	11	significant	significant	ADJ
ejpam-5932	205	12	improvements	improvement	NOUN
ejpam-5932	205	13	over	over	ADP
ejpam-5932	205	14	the	the	DET
ejpam-5932	205	15	classical	classical	ADJ
ejpam-5932	205	16	methods	method	NOUN
ejpam-5932	205	17	.	.	PUNCT
ejpam-5932	206	1	compared	compare	VERB
ejpam-5932	206	2	to	to	ADP
ejpam-5932	206	3	the	the	DET
ejpam-5932	206	4	hs	hs	PROPN
ejpam-5932	206	5	method	method	NOUN
ejpam-5932	206	6	,	,	PUNCT
ejpam-5932	206	7	the	the	DET
ejpam-5932	206	8	proposed	propose	VERB
ejpam-5932	206	9	approach	approach	NOUN
ejpam-5932	206	10	achieved	achieve	VERB
ejpam-5932	206	11	a	a	DET
ejpam-5932	206	12	60.70	60.70	NUM
ejpam-5932	206	13	%	%	NOUN
ejpam-5932	206	14	reduction	reduction	NOUN
ejpam-5932	206	15	in	in	ADP
ejpam-5932	206	16	ni	ni	PROPN
ejpam-5932	206	17	,	,	PUNCT
ejpam-5932	206	18	48.14	48.14	NUM
ejpam-5932	206	19	%	%	NOUN
ejpam-5932	206	20	in	in	ADP
ejpam-5932	206	21	nf	nf	NOUN
ejpam-5932	206	22	,	,	PUNCT
ejpam-5932	206	23	and	and	CCONJ
ejpam-5932	206	24	62.28	62.28	NUM
ejpam-5932	206	25	%	%	NOUN
ejpam-5932	206	26	in	in	ADP
ejpam-5932	206	27	cput	cput	NOUN
ejpam-5932	206	28	.	.	PUNCT
ejpam-5932	207	1	similarly	similarly	ADV
ejpam-5932	207	2	,	,	PUNCT
ejpam-5932	207	3	when	when	SCONJ
ejpam-5932	207	4	compared	compare	VERB
ejpam-5932	207	5	to	to	ADP
ejpam-5932	207	6	the	the	DET
ejpam-5932	207	7	perry	perry	PROPN
ejpam-5932	207	8	method	method	PROPN
ejpam-5932	207	9	,	,	PUNCT
ejpam-5932	207	10	it	it	PRON
ejpam-5932	207	11	showed	show	VERB
ejpam-5932	207	12	improvements	improvement	NOUN
ejpam-5932	207	13	of	of	ADP
ejpam-5932	207	14	18.65	18.65	NUM
ejpam-5932	207	15	%	%	NOUN
ejpam-5932	207	16	in	in	ADP
ejpam-5932	207	17	ni	ni	PROPN
ejpam-5932	207	18	,	,	PUNCT
ejpam-5932	207	19	15.7	15.7	NUM
ejpam-5932	207	20	%	%	NOUN
ejpam-5932	207	21	in	in	ADP
ejpam-5932	207	22	nf	nf	NOUN
ejpam-5932	207	23	,	,	PUNCT
ejpam-5932	207	24	and	and	CCONJ
ejpam-5932	207	25	6.92	6.92	NUM
ejpam-5932	207	26	%	%	NOUN
ejpam-5932	207	27	in	in	ADP
ejpam-5932	207	28	cput	cput	NOUN
ejpam-5932	207	29	.	.	PUNCT
ejpam-5932	208	1	furthermore	furthermore	ADV
ejpam-5932	208	2	,	,	PUNCT
ejpam-5932	208	3	the	the	DET
ejpam-5932	208	4	proposed	propose	VERB
ejpam-5932	208	5	method	method	NOUN
ejpam-5932	208	6	satisfied	satisfy	VERB
ejpam-5932	208	7	the	the	DET
ejpam-5932	208	8	descent	descent	NOUN
ejpam-5932	208	9	condition	condition	NOUN
ejpam-5932	208	10	while	while	SCONJ
ejpam-5932	208	11	ensuring	ensure	VERB
ejpam-5932	208	12	global	global	ADJ
ejpam-5932	208	13	convergence	convergence	NOUN
ejpam-5932	208	14	.	.	PUNCT
ejpam-5932	209	1	these	these	DET
ejpam-5932	209	2	characteristics	characteristic	NOUN
ejpam-5932	209	3	confirm	confirm	VERB
ejpam-5932	209	4	that	that	SCONJ
ejpam-5932	209	5	the	the	DET
ejpam-5932	209	6	method	method	NOUN
ejpam-5932	209	7	provides	provide	VERB
ejpam-5932	209	8	not	not	PART
ejpam-5932	209	9	only	only	ADV
ejpam-5932	209	10	accurate	accurate	ADJ
ejpam-5932	209	11	solutions	solution	NOUN
ejpam-5932	209	12	but	but	CCONJ
ejpam-5932	209	13	also	also	ADV
ejpam-5932	209	14	stability	stability	NOUN
ejpam-5932	209	15	and	and	CCONJ
ejpam-5932	209	16	strong	strong	ADJ
ejpam-5932	209	17	performance	performance	NOUN
ejpam-5932	209	18	across	across	ADP
ejpam-5932	209	19	a	a	DET
ejpam-5932	209	20	wide	wide	ADJ
ejpam-5932	209	21	range	range	NOUN
ejpam-5932	209	22	of	of	ADP
ejpam-5932	209	23	smalland	smalland	NOUN
ejpam-5932	209	24	large	large	ADJ
ejpam-5932	209	25	-	-	PUNCT
ejpam-5932	209	26	scale	scale	NOUN
ejpam-5932	209	27	optimization	optimization	NOUN
ejpam-5932	209	28	problems	problem	NOUN
ejpam-5932	209	29	.	.	PUNCT
ejpam-5932	210	1	additionally	additionally	ADV
ejpam-5932	210	2	,	,	PUNCT
ejpam-5932	210	3	the	the	DET
ejpam-5932	210	4	special	special	ADJ
ejpam-5932	210	5	case	case	NOUN
ejpam-5932	210	6	of	of	ADP
ejpam-5932	210	7	the	the	DET
ejpam-5932	210	8	proposed	propose	VERB
ejpam-5932	210	9	method	method	NOUN
ejpam-5932	210	10	(	(	PUNCT
ejpam-5932	210	11	ϵm	ϵm	NOUN
ejpam-5932	210	12	=	=	SYM
ejpam-5932	210	13	1	1	X
ejpam-5932	210	14	)	)	PUNCT
ejpam-5932	210	15	showed	show	VERB
ejpam-5932	210	16	further	further	ADJ
ejpam-5932	210	17	performance	performance	NOUN
ejpam-5932	210	18	enhancements	enhancement	NOUN
ejpam-5932	210	19	,	,	PUNCT
ejpam-5932	210	20	underscoring	underscore	VERB
ejpam-5932	210	21	the	the	DET
ejpam-5932	210	22	flexibility	flexibility	NOUN
ejpam-5932	210	23	and	and	CCONJ
ejpam-5932	210	24	robustness	robustness	NOUN
ejpam-5932	210	25	of	of	ADP
ejpam-5932	210	26	the	the	DET
ejpam-5932	210	27	proposed	propose	VERB
ejpam-5932	210	28	approach	approach	NOUN
ejpam-5932	210	29	in	in	ADP
ejpam-5932	210	30	addressing	address	VERB
ejpam-5932	210	31	diverse	diverse	ADJ
ejpam-5932	210	32	optimization	optimization	NOUN
ejpam-5932	210	33	challenges	challenge	NOUN
ejpam-5932	210	34	.	.	PUNCT
ejpam-5932	211	1	these	these	DET
ejpam-5932	211	2	results	result	NOUN
ejpam-5932	211	3	indicate	indicate	VERB
ejpam-5932	211	4	that	that	SCONJ
ejpam-5932	211	5	the	the	DET
ejpam-5932	211	6	new	new	ADJ
ejpam-5932	211	7	method	method	NOUN
ejpam-5932	211	8	is	be	AUX
ejpam-5932	211	9	not	not	PART
ejpam-5932	211	10	only	only	ADV
ejpam-5932	211	11	more	more	ADV
ejpam-5932	211	12	efficient	efficient	ADJ
ejpam-5932	211	13	in	in	ADP
ejpam-5932	211	14	terms	term	NOUN
ejpam-5932	211	15	of	of	ADP
ejpam-5932	211	16	reducing	reduce	VERB
ejpam-5932	211	17	iterations	iteration	NOUN
ejpam-5932	211	18	and	and	CCONJ
ejpam-5932	211	19	processing	processing	NOUN
ejpam-5932	211	20	time	time	NOUN
ejpam-5932	211	21	but	but	CCONJ
ejpam-5932	211	22	also	also	ADV
ejpam-5932	211	23	serves	serve	VERB
ejpam-5932	211	24	as	as	ADP
ejpam-5932	211	25	a	a	DET
ejpam-5932	211	26	competitive	competitive	ADJ
ejpam-5932	211	27	and	and	CCONJ
ejpam-5932	211	28	reliable	reliable	ADJ
ejpam-5932	211	29	option	option	NOUN
ejpam-5932	211	30	for	for	ADP
ejpam-5932	211	31	solving	solve	VERB
ejpam-5932	211	32	unconstrained	unconstrained	ADJ
ejpam-5932	211	33	optimization	optimization	NOUN
ejpam-5932	211	34	problems	problem	NOUN
ejpam-5932	211	35	,	,	PUNCT
ejpam-5932	211	36	adding	add	VERB
ejpam-5932	211	37	a	a	DET
ejpam-5932	211	38	valuable	valuable	ADJ
ejpam-5932	211	39	contribution	contribution	NOUN
ejpam-5932	211	40	to	to	ADP
ejpam-5932	211	41	the	the	DET
ejpam-5932	211	42	family	family	NOUN
ejpam-5932	211	43	of	of	ADP
ejpam-5932	211	44	cg	cg	NOUN
ejpam-5932	211	45	methods	method	NOUN
ejpam-5932	211	46	.	.	PUNCT
ejpam-5932	212	1	references	reference	NOUN
ejpam-5932	212	2	[	[	X
ejpam-5932	212	3	1	1	X
ejpam-5932	212	4	]	]	PUNCT
ejpam-5932	212	5	j.	j.	PROPN
ejpam-5932	212	6	k.	k.	PROPN
ejpam-5932	212	7	liu	liu	PROPN
ejpam-5932	212	8	and	and	CCONJ
ejpam-5932	212	9	s.	s.	PROPN
ejpam-5932	212	10	j.	j.	PROPN
ejpam-5932	212	11	li	li	PROPN
ejpam-5932	212	12	.	.	PUNCT
ejpam-5932	213	1	new	new	ADJ
ejpam-5932	213	2	hybrid	hybrid	ADJ
ejpam-5932	213	3	conjugate	conjugate	ADJ
ejpam-5932	213	4	gradient	gradient	NOUN
ejpam-5932	213	5	method	method	NOUN
ejpam-5932	213	6	for	for	ADP
ejpam-5932	213	7	unconstrained	unconstrained	ADJ
ejpam-5932	213	8	optimization	optimization	NOUN
ejpam-5932	213	9	.	.	PUNCT
ejpam-5932	214	1	applied	apply	VERB
ejpam-5932	214	2	mathematics	mathematic	NOUN
ejpam-5932	214	3	and	and	CCONJ
ejpam-5932	214	4	computation	computation	NOUN
ejpam-5932	214	5	,	,	PUNCT
ejpam-5932	214	6	245:36–43	245:36–43	NUM
ejpam-5932	214	7	,	,	PUNCT
ejpam-5932	214	8	2014	2014	NUM
ejpam-5932	214	9	.	.	PUNCT
ejpam-5932	215	1	[	[	X
ejpam-5932	215	2	2	2	NUM
ejpam-5932	215	3	]	]	PUNCT
ejpam-5932	215	4	c.	c.	PROPN
ejpam-5932	215	5	luo	luo	PROPN
ejpam-5932	215	6	,	,	PUNCT
ejpam-5932	215	7	l.	l.	PROPN
ejpam-5932	215	8	wang	wang	PROPN
ejpam-5932	215	9	,	,	PUNCT
ejpam-5932	215	10	y.	y.	PROPN
ejpam-5932	215	11	xie	xie	PROPN
ejpam-5932	215	12	,	,	PUNCT
ejpam-5932	215	13	and	and	CCONJ
ejpam-5932	215	14	b.	b.	PROPN
ejpam-5932	215	15	chen	chen	PROPN
ejpam-5932	215	16	.	.	PUNCT
ejpam-5932	216	1	a	a	DET
ejpam-5932	216	2	new	new	ADJ
ejpam-5932	216	3	conjugate	conjugate	ADJ
ejpam-5932	216	4	gradient	gradient	NOUN
ejpam-5932	216	5	method	method	NOUN
ejpam-5932	216	6	for	for	ADP
ejpam-5932	216	7	moving	move	VERB
ejpam-5932	216	8	force	force	NOUN
ejpam-5932	216	9	identification	identification	NOUN
ejpam-5932	216	10	of	of	ADP
ejpam-5932	216	11	vehicle	vehicle	NOUN
ejpam-5932	216	12	-	-	PUNCT
ejpam-5932	216	13	bridge	bridge	NOUN
ejpam-5932	216	14	system	system	NOUN
ejpam-5932	216	15	.	.	PUNCT
ejpam-5932	217	1	journal	journal	NOUN
ejpam-5932	217	2	of	of	ADP
ejpam-5932	217	3	vibration	vibration	NOUN
ejpam-5932	217	4	engineering	engineering	NOUN
ejpam-5932	217	5	and	and	CCONJ
ejpam-5932	217	6	technologies	technology	NOUN
ejpam-5932	217	7	,	,	PUNCT
ejpam-5932	217	8	12(1):19–36	12(1):19–36	NUM
ejpam-5932	217	9	,	,	PUNCT
ejpam-5932	217	10	2024	2024	NUM
ejpam-5932	217	11	.	.	PUNCT
ejpam-5932	218	1	[	[	X
ejpam-5932	218	2	3	3	NUM
ejpam-5932	218	3	]	]	X
ejpam-5932	218	4	y.	y.	PROPN
ejpam-5932	218	5	yuan	yuan	PROPN
ejpam-5932	218	6	,	,	PUNCT
ejpam-5932	218	7	d.	d.	PROPN
ejpam-5932	218	8	h.	h.	PROPN
ejpam-5932	218	9	tsang	tsang	PROPN
ejpam-5932	218	10	,	,	PUNCT
ejpam-5932	218	11	and	and	CCONJ
ejpam-5932	218	12	v.	v.	PROPN
ejpam-5932	218	13	k.	k.	PROPN
ejpam-5932	218	14	lau	lau	PROPN
ejpam-5932	218	15	.	.	PUNCT
ejpam-5932	219	1	combining	combine	VERB
ejpam-5932	219	2	conjugate	conjugate	ADJ
ejpam-5932	219	3	gradient	gradient	NOUN
ejpam-5932	219	4	and	and	CCONJ
ejpam-5932	219	5	momentum	momentum	NOUN
ejpam-5932	219	6	for	for	ADP
ejpam-5932	219	7	unconstrained	unconstrained	ADJ
ejpam-5932	219	8	stochastic	stochastic	ADJ
ejpam-5932	219	9	optimization	optimization	NOUN
ejpam-5932	219	10	with	with	ADP
ejpam-5932	219	11	applications	application	NOUN
ejpam-5932	219	12	to	to	ADP
ejpam-5932	219	13	machine	machine	NOUN
ejpam-5932	219	14	learning	learning	NOUN
ejpam-5932	219	15	.	.	PUNCT
ejpam-5932	220	1	ieee	ieee	PROPN
ejpam-5932	220	2	internet	internet	NOUN
ejpam-5932	220	3	of	of	ADP
ejpam-5932	220	4	things	thing	NOUN
ejpam-5932	220	5	journal	journal	NOUN
ejpam-5932	220	6	,	,	PUNCT
ejpam-5932	220	7	2024	2024	NUM
ejpam-5932	220	8	.	.	PUNCT
ejpam-5932	221	1	[	[	X
ejpam-5932	221	2	4	4	X
ejpam-5932	221	3	]	]	PUNCT
ejpam-5932	221	4	s.	s.	PROPN
ejpam-5932	221	5	b.	b.	PROPN
ejpam-5932	221	6	hanachi	hanachi	PROPN
ejpam-5932	221	7	,	,	PUNCT
ejpam-5932	221	8	b.	b.	PROPN
ejpam-5932	221	9	sellami	sellami	PROPN
ejpam-5932	221	10	,	,	PUNCT
ejpam-5932	221	11	and	and	CCONJ
ejpam-5932	221	12	m.	m.	NOUN
ejpam-5932	221	13	belloufi	belloufi	ADV
ejpam-5932	221	14	.	.	PUNCT
ejpam-5932	222	1	a	a	DET
ejpam-5932	222	2	new	new	ADJ
ejpam-5932	222	3	family	family	NOUN
ejpam-5932	222	4	of	of	ADP
ejpam-5932	222	5	hybrid	hybrid	ADJ
ejpam-5932	222	6	conjugate	conjugate	ADJ
ejpam-5932	222	7	gradient	gradient	NOUN
ejpam-5932	222	8	method	method	NOUN
ejpam-5932	222	9	for	for	ADP
ejpam-5932	222	10	unconstrained	unconstrained	ADJ
ejpam-5932	222	11	optimization	optimization	NOUN
ejpam-5932	222	12	and	and	CCONJ
ejpam-5932	222	13	its	its	PRON
ejpam-5932	222	14	application	application	NOUN
ejpam-5932	222	15	to	to	PART
ejpam-5932	222	16	regression	regression	VERB
ejpam-5932	222	17	analysis	analysis	NOUN
ejpam-5932	222	18	.	.	PUNCT
ejpam-5932	223	1	rairo	rairo	NOUN
ejpam-5932	223	2	operations	operation	NOUN
ejpam-5932	223	3	research	research	NOUN
ejpam-5932	223	4	,	,	PUNCT
ejpam-5932	223	5	58(1):613–627	58(1):613–627	PROPN
ejpam-5932	223	6	,	,	PUNCT
ejpam-5932	223	7	2024	2024	NUM
ejpam-5932	223	8	.	.	PUNCT
ejpam-5932	224	1	[	[	X
ejpam-5932	224	2	5	5	NUM
ejpam-5932	224	3	]	]	PUNCT
ejpam-5932	224	4	a.	a.	NOUN
ejpam-5932	224	5	l.	l.	PROPN
ejpam-5932	224	6	ibrahim	ibrahim	PROPN
ejpam-5932	224	7	and	and	CCONJ
ejpam-5932	224	8	m.	m.	PROPN
ejpam-5932	224	9	g.	g.	PROPN
ejpam-5932	224	10	mohammed	mohammed	PROPN
ejpam-5932	224	11	.	.	PUNCT
ejpam-5932	225	1	a	a	DET
ejpam-5932	225	2	new	new	ADJ
ejpam-5932	225	3	conjugate	conjugate	ADJ
ejpam-5932	225	4	gradient	gradient	NOUN
ejpam-5932	225	5	for	for	ADP
ejpam-5932	225	6	unconstrained	unconstrained	ADJ
ejpam-5932	225	7	optimization	optimization	NOUN
ejpam-5932	225	8	problems	problem	NOUN
ejpam-5932	225	9	and	and	CCONJ
ejpam-5932	225	10	its	its	PRON
ejpam-5932	225	11	applications	application	NOUN
ejpam-5932	225	12	in	in	ADP
ejpam-5932	225	13	neural	neural	ADJ
ejpam-5932	225	14	networks	network	NOUN
ejpam-5932	225	15	.	.	PUNCT
ejpam-5932	226	1	indonesian	indonesian	ADJ
ejpam-5932	226	2	journal	journal	PROPN
ejpam-5932	226	3	of	of	ADP
ejpam-5932	226	4	electrical	electrical	ADJ
ejpam-5932	226	5	engineering	engineering	NOUN
ejpam-5932	226	6	and	and	CCONJ
ejpam-5932	226	7	computer	computer	NOUN
ejpam-5932	226	8	science	science	NOUN
ejpam-5932	226	9	,	,	PUNCT
ejpam-5932	226	10	33:93–100	33:93–100	NUM
ejpam-5932	226	11	,	,	PUNCT
ejpam-5932	226	12	2024	2024	NUM
ejpam-5932	226	13	.	.	PUNCT
ejpam-5932	227	1	[	[	X
ejpam-5932	227	2	6	6	NUM
ejpam-5932	227	3	]	]	PUNCT
ejpam-5932	227	4	b.	b.	PROPN
ejpam-5932	227	5	a.	a.	PROPN
ejpam-5932	227	6	hassan	hassan	PROPN
ejpam-5932	227	7	,	,	PUNCT
ejpam-5932	227	8	i.	i.	PROPN
ejpam-5932	227	9	a.	a.	PROPN
ejpam-5932	227	10	r.	r.	PROPN
ejpam-5932	227	11	moghrabi	moghrabi	PROPN
ejpam-5932	227	12	,	,	PUNCT
ejpam-5932	227	13	a.	a.	PROPN
ejpam-5932	227	14	l.	l.	PROPN
ejpam-5932	227	15	ibrahim	ibrahim	PROPN
ejpam-5932	227	16	,	,	PUNCT
ejpam-5932	227	17	and	and	CCONJ
ejpam-5932	227	18	h.	h.	PROPN
ejpam-5932	227	19	n.	n.	PROPN
ejpam-5932	227	20	jabbar	jabbar	PROPN
ejpam-5932	227	21	.	.	PUNCT
ejpam-5932	227	22	improved	improve	VERB
ejpam-5932	227	23	conjugate	conjugate	ADJ
ejpam-5932	227	24	gradient	gradient	NOUN
ejpam-5932	227	25	methods	method	NOUN
ejpam-5932	227	26	for	for	ADP
ejpam-5932	227	27	unconstrained	unconstrained	ADJ
ejpam-5932	227	28	minimization	minimization	NOUN
ejpam-5932	227	29	problems	problem	NOUN
ejpam-5932	227	30	and	and	CCONJ
ejpam-5932	227	31	training	train	VERB
ejpam-5932	227	32	recurrent	recurrent	ADJ
ejpam-5932	227	33	neural	neural	ADJ
ejpam-5932	227	34	networks	network	NOUN
ejpam-5932	227	35	.	.	PUNCT
ejpam-5932	228	1	engineering	engineering	NOUN
ejpam-5932	228	2	reports	report	NOUN
ejpam-5932	228	3	,	,	PUNCT
ejpam-5932	228	4	7	7	NUM
ejpam-5932	228	5	:	:	SYM
ejpam-5932	228	6	e70019	e70019	NUM
ejpam-5932	228	7	,	,	PUNCT
ejpam-5932	228	8	2025	2025	NUM
ejpam-5932	228	9	.	.	PUNCT
ejpam-5932	229	1	[	[	X
ejpam-5932	229	2	7	7	NUM
ejpam-5932	229	3	]	]	PUNCT
ejpam-5932	229	4	a.	a.	NOUN
ejpam-5932	229	5	ibrahim	ibrahim	PROPN
ejpam-5932	229	6	and	and	CCONJ
ejpam-5932	229	7	s.	s.	PROPN
ejpam-5932	229	8	shareef	shareef	PROPN
ejpam-5932	229	9	.	.	PROPN
ejpam-5932	229	10	modified	modify	VERB
ejpam-5932	229	11	conjugate	conjugate	ADJ
ejpam-5932	229	12	gradient	gradient	NOUN
ejpam-5932	229	13	method	method	NOUN
ejpam-5932	229	14	for	for	ADP
ejpam-5932	229	15	training	train	VERB
ejpam-5932	229	16	neural	neural	ADJ
ejpam-5932	229	17	networks	network	NOUN
ejpam-5932	229	18	based	base	VERB
ejpam-5932	229	19	on	on	ADP
ejpam-5932	229	20	logistic	logistic	ADJ
ejpam-5932	229	21	mapping	mapping	NOUN
ejpam-5932	229	22	.	.	PUNCT
ejpam-5932	230	1	journal	journal	PROPN
ejpam-5932	230	2	of	of	ADP
ejpam-5932	230	3	university	university	PROPN
ejpam-5932	230	4	of	of	ADP
ejpam-5932	230	5	duhok	duhok	NOUN
ejpam-5932	230	6	,	,	PUNCT
ejpam-5932	230	7	22(1):45–51	22(1):45–51	NUM
ejpam-5932	230	8	,	,	PUNCT
ejpam-5932	230	9	2019	2019	NUM
ejpam-5932	230	10	.	.	PUNCT
ejpam-5932	231	1	[	[	X
ejpam-5932	231	2	8	8	NUM
ejpam-5932	231	3	]	]	X
ejpam-5932	231	4	d.	d.	PROPN
ejpam-5932	231	5	h.	h.	PROPN
ejpam-5932	231	6	omar	omar	PROPN
ejpam-5932	231	7	,	,	PUNCT
ejpam-5932	231	8	a.	a.	PROPN
ejpam-5932	231	9	l.	l.	PROPN
ejpam-5932	231	10	ibrahim	ibrahim	PROPN
ejpam-5932	231	11	,	,	PUNCT
ejpam-5932	231	12	m.	m.	NOUN
ejpam-5932	231	13	m.	m.	PROPN
ejpam-5932	231	14	hassan	hassan	PROPN
ejpam-5932	231	15	,	,	PUNCT
ejpam-5932	231	16	b.	b.	PROPN
ejpam-5932	231	17	g.	g.	PROPN
ejpam-5932	231	18	fathi	fathi	PROPN
ejpam-5932	231	19	,	,	PUNCT
ejpam-5932	231	20	and	and	CCONJ
ejpam-5932	231	21	d.	d.	PROPN
ejpam-5932	231	22	a.	a.	PROPN
ejpam-5932	231	23	sulaiman	sulaiman	PROPN
ejpam-5932	231	24	.	.	PUNCT
ejpam-5932	232	1	ena	ena	PROPN
ejpam-5932	232	2	.	.	PROPN
ejpam-5932	232	3	l.	l.	PROPN
ejpam-5932	232	4	ibrahim	ibrahim	PROPN
ejpam-5932	232	5	et	et	PROPN
ejpam-5932	232	6	al	al	PROPN
ejpam-5932	232	7	.	.	PUNCT
ejpam-5932	232	8	/	/	SYM
ejpam-5932	232	9	eur	eur	PROPN
ejpam-5932	232	10	.	.	PUNCT
ejpam-5932	233	1	j.	j.	PROPN
ejpam-5932	233	2	pure	pure	PROPN
ejpam-5932	233	3	appl	appl	PROPN
ejpam-5932	233	4	.	.	PROPN
ejpam-5932	233	5	math	math	PROPN
ejpam-5932	233	6	,	,	PUNCT
ejpam-5932	233	7	18	18	NUM
ejpam-5932	233	8	(	(	PUNCT
ejpam-5932	233	9	2	2	NUM
ejpam-5932	233	10	)	)	PUNCT
ejpam-5932	233	11	(	(	PUNCT
ejpam-5932	233	12	2025	2025	NUM
ejpam-5932	233	13	)	)	PUNCT
ejpam-5932	233	14	,	,	PUNCT
ejpam-5932	233	15	5932	5932	NUM
ejpam-5932	233	16	14	14	NUM
ejpam-5932	233	17	of	of	ADP
ejpam-5932	233	18	15	15	NUM
ejpam-5932	233	19	hanced	hance	VERB
ejpam-5932	233	20	conjugate	conjugate	ADJ
ejpam-5932	233	21	gradient	gradient	NOUN
ejpam-5932	233	22	method	method	NOUN
ejpam-5932	233	23	for	for	ADP
ejpam-5932	233	24	unconstrained	unconstrained	ADJ
ejpam-5932	233	25	optimization	optimization	NOUN
ejpam-5932	233	26	and	and	CCONJ
ejpam-5932	233	27	its	its	PRON
ejpam-5932	233	28	application	application	NOUN
ejpam-5932	233	29	in	in	ADP
ejpam-5932	233	30	neural	neural	ADJ
ejpam-5932	233	31	networks	network	NOUN
ejpam-5932	233	32	.	.	PUNCT
ejpam-5932	234	1	european	european	ADJ
ejpam-5932	234	2	journal	journal	PROPN
ejpam-5932	234	3	of	of	ADP
ejpam-5932	234	4	pure	pure	ADJ
ejpam-5932	234	5	and	and	CCONJ
ejpam-5932	234	6	applied	applied	ADJ
ejpam-5932	234	7	mathematics	mathematic	NOUN
ejpam-5932	234	8	,	,	PUNCT
ejpam-5932	234	9	17(4):2692	17(4):2692	NUM
ejpam-5932	234	10	–	–	PUNCT
ejpam-5932	234	11	2705	2705	NUM
ejpam-5932	234	12	,	,	PUNCT
ejpam-5932	234	13	2024	2024	NUM
ejpam-5932	234	14	.	.	PUNCT
ejpam-5932	235	1	[	[	X
ejpam-5932	235	2	9	9	NUM
ejpam-5932	235	3	]	]	PUNCT
ejpam-5932	235	4	x.	x.	PROPN
ejpam-5932	235	5	jiang	jiang	PROPN
ejpam-5932	235	6	,	,	PUNCT
ejpam-5932	235	7	l.	l.	PROPN
ejpam-5932	235	8	pan	pan	PROPN
ejpam-5932	235	9	,	,	PUNCT
ejpam-5932	235	10	m.	m.	NOUN
ejpam-5932	235	11	liu	liu	PROPN
ejpam-5932	235	12	,	,	PUNCT
ejpam-5932	235	13	and	and	CCONJ
ejpam-5932	235	14	j.	j.	PROPN
ejpam-5932	235	15	jian	jian	PROPN
ejpam-5932	235	16	.	.	PROPN
ejpam-5932	236	1	a	a	DET
ejpam-5932	236	2	family	family	NOUN
ejpam-5932	236	3	of	of	ADP
ejpam-5932	236	4	spectral	spectral	ADJ
ejpam-5932	236	5	conjugate	conjugate	ADJ
ejpam-5932	236	6	gradient	gradient	NOUN
ejpam-5932	236	7	method	method	NOUN
ejpam-5932	236	8	with	with	ADP
ejpam-5932	236	9	strong	strong	ADJ
ejpam-5932	236	10	convergence	convergence	NOUN
ejpam-5932	236	11	and	and	CCONJ
ejpam-5932	236	12	its	its	PRON
ejpam-5932	236	13	applications	application	NOUN
ejpam-5932	236	14	in	in	ADP
ejpam-5932	236	15	image	image	NOUN
ejpam-5932	236	16	restoration	restoration	NOUN
ejpam-5932	236	17	and	and	CCONJ
ejpam-5932	236	18	machine	machine	NOUN
ejpam-5932	236	19	learning	learning	NOUN
ejpam-5932	236	20	.	.	PUNCT
ejpam-5932	237	1	journal	journal	PROPN
ejpam-5932	237	2	of	of	ADP
ejpam-5932	237	3	the	the	DET
ejpam-5932	237	4	franklin	franklin	PROPN
ejpam-5932	237	5	institute	institute	PROPN
ejpam-5932	237	6	,	,	PUNCT
ejpam-5932	237	7	page	page	NOUN
ejpam-5932	237	8	107033	107033	NUM
ejpam-5932	237	9	,	,	PUNCT
ejpam-5932	237	10	2024	2024	NUM
ejpam-5932	237	11	.	.	PUNCT
ejpam-5932	238	1	[	[	X
ejpam-5932	238	2	10	10	NUM
ejpam-5932	238	3	]	]	X
ejpam-5932	238	4	b.	b.	PROPN
ejpam-5932	238	5	balaram	balaram	PROPN
ejpam-5932	238	6	,	,	PUNCT
ejpam-5932	238	7	m.	m.	PROPN
ejpam-5932	238	8	d.	d.	PROPN
ejpam-5932	238	9	narayanan	narayanan	PROPN
ejpam-5932	238	10	,	,	PUNCT
ejpam-5932	238	11	and	and	CCONJ
ejpam-5932	238	12	p.	p.	PROPN
ejpam-5932	238	13	k.	k.	PROPN
ejpam-5932	239	1	rajendrakumar	rajendrakumar	PROPN
ejpam-5932	239	2	.	.	PUNCT
ejpam-5932	240	1	optimal	optimal	ADJ
ejpam-5932	240	2	design	design	NOUN
ejpam-5932	240	3	of	of	ADP
ejpam-5932	240	4	multiparametric	multiparametric	ADJ
ejpam-5932	240	5	nonlinear	nonlinear	ADJ
ejpam-5932	240	6	systems	system	NOUN
ejpam-5932	240	7	using	use	VERB
ejpam-5932	240	8	a	a	DET
ejpam-5932	240	9	parametric	parametric	ADJ
ejpam-5932	240	10	continuation	continuation	NOUN
ejpam-5932	240	11	-	-	PUNCT
ejpam-5932	240	12	based	base	VERB
ejpam-5932	240	13	genetic	genetic	ADJ
ejpam-5932	240	14	algorithm	algorithm	NOUN
ejpam-5932	240	15	approach	approach	NOUN
ejpam-5932	240	16	.	.	PUNCT
ejpam-5932	241	1	nonlinear	nonlinear	ADJ
ejpam-5932	241	2	dynamics	dynamic	NOUN
ejpam-5932	241	3	,	,	PUNCT
ejpam-5932	241	4	67(4):2759–2777	67(4):2759–2777	NUM
ejpam-5932	241	5	,	,	PUNCT
ejpam-5932	241	6	2012	2012	NUM
ejpam-5932	241	7	.	.	PUNCT
ejpam-5932	242	1	[	[	X
ejpam-5932	242	2	11	11	NUM
ejpam-5932	242	3	]	]	PUNCT
ejpam-5932	242	4	m.	m.	PROPN
ejpam-5932	242	5	r.	r.	PROPN
ejpam-5932	242	6	hestenes	hestenes	PROPN
ejpam-5932	242	7	and	and	CCONJ
ejpam-5932	242	8	e.	e.	PROPN
ejpam-5932	242	9	stiefel	stiefel	PROPN
ejpam-5932	242	10	.	.	PUNCT
ejpam-5932	243	1	methods	method	NOUN
ejpam-5932	243	2	of	of	ADP
ejpam-5932	243	3	conjugate	conjugate	ADJ
ejpam-5932	243	4	gradients	gradient	NOUN
ejpam-5932	243	5	for	for	ADP
ejpam-5932	243	6	solving	solve	VERB
ejpam-5932	243	7	.	.	PUNCT
ejpam-5932	244	1	journal	journal	PROPN
ejpam-5932	244	2	of	of	ADP
ejpam-5932	244	3	research	research	NOUN
ejpam-5932	244	4	of	of	ADP
ejpam-5932	244	5	the	the	DET
ejpam-5932	244	6	national	national	PROPN
ejpam-5932	244	7	bureau	bureau	PROPN
ejpam-5932	244	8	of	of	ADP
ejpam-5932	244	9	standards	standard	NOUN
ejpam-5932	244	10	,	,	PUNCT
ejpam-5932	244	11	49(1):409–436	49(1):409–436	NOUN
ejpam-5932	244	12	,	,	PUNCT
ejpam-5932	244	13	1952	1952	NUM
ejpam-5932	244	14	.	.	PUNCT
ejpam-5932	245	1	[	[	X
ejpam-5932	245	2	12	12	NUM
ejpam-5932	245	3	]	]	PUNCT
ejpam-5932	245	4	r.	r.	PROPN
ejpam-5932	245	5	fletcher	fletcher	PROPN
ejpam-5932	245	6	and	and	CCONJ
ejpam-5932	245	7	c.	c.	PROPN
ejpam-5932	245	8	m.	m.	PROPN
ejpam-5932	245	9	reeves	reeves	PROPN
ejpam-5932	245	10	.	.	PUNCT
ejpam-5932	246	1	function	function	NOUN
ejpam-5932	246	2	minimization	minimization	NOUN
ejpam-5932	246	3	by	by	ADP
ejpam-5932	246	4	conjugate	conjugate	ADJ
ejpam-5932	246	5	gradients	gradient	NOUN
ejpam-5932	246	6	.	.	PUNCT
ejpam-5932	247	1	the	the	DET
ejpam-5932	247	2	computer	computer	NOUN
ejpam-5932	247	3	journal	journal	NOUN
ejpam-5932	247	4	,	,	PUNCT
ejpam-5932	247	5	7(2):149–154	7(2):149–154	NUM
ejpam-5932	247	6	,	,	PUNCT
ejpam-5932	247	7	1964	1964	NUM
ejpam-5932	247	8	.	.	PUNCT
ejpam-5932	248	1	[	[	X
ejpam-5932	248	2	13	13	NUM
ejpam-5932	248	3	]	]	PUNCT
ejpam-5932	248	4	z.	z.	PROPN
ejpam-5932	248	5	salleh	salleh	PROPN
ejpam-5932	248	6	and	and	CCONJ
ejpam-5932	248	7	a.	a.	PROPN
ejpam-5932	248	8	alhawarat	alhawarat	PROPN
ejpam-5932	248	9	.	.	PUNCT
ejpam-5932	249	1	an	an	DET
ejpam-5932	249	2	efficient	efficient	ADJ
ejpam-5932	249	3	modification	modification	NOUN
ejpam-5932	249	4	of	of	ADP
ejpam-5932	249	5	the	the	DET
ejpam-5932	249	6	hestenes	hestene	NOUN
ejpam-5932	249	7	-	-	PUNCT
ejpam-5932	249	8	stiefel	stiefel	NOUN
ejpam-5932	249	9	nonlinear	nonlinear	ADJ
ejpam-5932	249	10	conjugate	conjugate	ADJ
ejpam-5932	249	11	gradient	gradient	NOUN
ejpam-5932	249	12	method	method	NOUN
ejpam-5932	249	13	with	with	ADP
ejpam-5932	249	14	restart	restart	NOUN
ejpam-5932	249	15	property	property	NOUN
ejpam-5932	249	16	.	.	PUNCT
ejpam-5932	250	1	journal	journal	PROPN
ejpam-5932	250	2	of	of	ADP
ejpam-5932	250	3	inequalities	inequality	NOUN
ejpam-5932	250	4	and	and	CCONJ
ejpam-5932	250	5	applications	application	NOUN
ejpam-5932	250	6	,	,	PUNCT
ejpam-5932	250	7	page	page	NOUN
ejpam-5932	250	8	110	110	NUM
ejpam-5932	250	9	,	,	PUNCT
ejpam-5932	250	10	2016	2016	NUM
ejpam-5932	250	11	.	.	PUNCT
ejpam-5932	251	1	[	[	X
ejpam-5932	251	2	14	14	NUM
ejpam-5932	251	3	]	]	PUNCT
ejpam-5932	251	4	z.	z.	PROPN
ejpam-5932	251	5	wei	wei	PROPN
ejpam-5932	251	6	,	,	PUNCT
ejpam-5932	251	7	g.	g.	PROPN
ejpam-5932	251	8	li	li	PROPN
ejpam-5932	251	9	,	,	PUNCT
ejpam-5932	251	10	and	and	CCONJ
ejpam-5932	251	11	l.	l.	PROPN
ejpam-5932	251	12	qi	qi	PROPN
ejpam-5932	251	13	.	.	PUNCT
ejpam-5932	252	1	new	new	ADJ
ejpam-5932	252	2	nonlinear	nonlinear	ADJ
ejpam-5932	252	3	conjugate	conjugate	ADJ
ejpam-5932	252	4	gradient	gradient	NOUN
ejpam-5932	252	5	formulas	formula	NOUN
ejpam-5932	252	6	for	for	ADP
ejpam-5932	252	7	largescale	largescale	NOUN
ejpam-5932	252	8	unconstrained	unconstraine	VERB
ejpam-5932	252	9	optimization	optimization	NOUN
ejpam-5932	252	10	problems	problem	NOUN
ejpam-5932	252	11	.	.	PUNCT
ejpam-5932	253	1	applied	apply	VERB
ejpam-5932	253	2	mathematics	mathematic	NOUN
ejpam-5932	253	3	and	and	CCONJ
ejpam-5932	253	4	computation	computation	NOUN
ejpam-5932	253	5	,	,	PUNCT
ejpam-5932	253	6	179(2):407–430	179(2):407–430	NUM
ejpam-5932	253	7	,	,	PUNCT
ejpam-5932	253	8	2006	2006	NUM
ejpam-5932	253	9	.	.	PUNCT
ejpam-5932	254	1	[	[	X
ejpam-5932	254	2	15	15	NUM
ejpam-5932	254	3	]	]	X
ejpam-5932	254	4	g.	g.	PROPN
ejpam-5932	254	5	yuan	yuan	PROPN
ejpam-5932	254	6	,	,	PUNCT
ejpam-5932	254	7	z.	z.	PROPN
ejpam-5932	254	8	wei	wei	PROPN
ejpam-5932	254	9	,	,	PUNCT
ejpam-5932	254	10	and	and	CCONJ
ejpam-5932	254	11	q.	q.	PROPN
ejpam-5932	254	12	zhao	zhao	PROPN
ejpam-5932	254	13	.	.	PUNCT
ejpam-5932	255	1	a	a	DET
ejpam-5932	255	2	modified	modified	ADJ
ejpam-5932	255	3	polak	polak	NOUN
ejpam-5932	255	4	–	–	PUNCT
ejpam-5932	255	5	ribière	ribière	NOUN
ejpam-5932	255	6	–	–	PUNCT
ejpam-5932	255	7	polyak	polyak	NOUN
ejpam-5932	255	8	conjugate	conjugate	ADJ
ejpam-5932	255	9	gradient	gradient	ADJ
ejpam-5932	255	10	algorithm	algorithm	NOUN
ejpam-5932	255	11	for	for	ADP
ejpam-5932	255	12	large	large	ADJ
ejpam-5932	255	13	-	-	PUNCT
ejpam-5932	255	14	scale	scale	NOUN
ejpam-5932	255	15	optimization	optimization	NOUN
ejpam-5932	255	16	problems	problem	NOUN
ejpam-5932	255	17	.	.	PUNCT
ejpam-5932	256	1	iie	iie	NOUN
ejpam-5932	256	2	transactions	transaction	NOUN
ejpam-5932	256	3	,	,	PUNCT
ejpam-5932	256	4	46(4):397–413	46(4):397–413	PROPN
ejpam-5932	256	5	,	,	PUNCT
ejpam-5932	256	6	2014	2014	NUM
ejpam-5932	256	7	.	.	PUNCT
ejpam-5932	257	1	[	[	X
ejpam-5932	257	2	16	16	NUM
ejpam-5932	257	3	]	]	PUNCT
ejpam-5932	257	4	p.	p.	PROPN
ejpam-5932	257	5	wolfe	wolfe	PROPN
ejpam-5932	257	6	.	.	PUNCT
ejpam-5932	258	1	convergence	convergence	NOUN
ejpam-5932	258	2	conditions	condition	NOUN
ejpam-5932	258	3	for	for	ADP
ejpam-5932	258	4	ascent	ascent	ADJ
ejpam-5932	258	5	methods	method	NOUN
ejpam-5932	258	6	.	.	PUNCT
ejpam-5932	259	1	siam	siam	PROPN
ejpam-5932	259	2	review	review	PROPN
ejpam-5932	259	3	,	,	PUNCT
ejpam-5932	259	4	11(2):226–235	11(2):226–235	NUM
ejpam-5932	259	5	,	,	PUNCT
ejpam-5932	259	6	1969	1969	NUM
ejpam-5932	259	7	.	.	PUNCT
ejpam-5932	260	1	[	[	X
ejpam-5932	260	2	17	17	NUM
ejpam-5932	260	3	]	]	X
ejpam-5932	260	4	p.	p.	PROPN
ejpam-5932	260	5	wolfe	wolfe	PROPN
ejpam-5932	260	6	.	.	PUNCT
ejpam-5932	261	1	convergence	convergence	NOUN
ejpam-5932	261	2	conditions	condition	NOUN
ejpam-5932	261	3	for	for	ADP
ejpam-5932	261	4	ascent	ascent	ADJ
ejpam-5932	261	5	methods	method	NOUN
ejpam-5932	261	6	.	.	PUNCT
ejpam-5932	262	1	ii	ii	PROPN
ejpam-5932	262	2	:	:	PUNCT
ejpam-5932	262	3	some	some	DET
ejpam-5932	262	4	corrections	correction	NOUN
ejpam-5932	262	5	.	.	PUNCT
ejpam-5932	263	1	siam	siam	PROPN
ejpam-5932	263	2	review	review	PROPN
ejpam-5932	263	3	,	,	PUNCT
ejpam-5932	263	4	13(2):185–188	13(2):185–188	NUM
ejpam-5932	263	5	,	,	PUNCT
ejpam-5932	263	6	1971	1971	NUM
ejpam-5932	263	7	.	.	PUNCT
ejpam-5932	264	1	[	[	X
ejpam-5932	264	2	18	18	NUM
ejpam-5932	264	3	]	]	X
ejpam-5932	264	4	b.	b.	PROPN
ejpam-5932	264	5	t.	t.	PROPN
ejpam-5932	264	6	polyak	polyak	PROPN
ejpam-5932	264	7	.	.	PUNCT
ejpam-5932	265	1	the	the	DET
ejpam-5932	265	2	conjugate	conjugate	ADJ
ejpam-5932	265	3	gradient	gradient	NOUN
ejpam-5932	265	4	method	method	NOUN
ejpam-5932	265	5	in	in	ADP
ejpam-5932	265	6	extremal	extremal	ADJ
ejpam-5932	265	7	problems	problem	NOUN
ejpam-5932	265	8	.	.	PUNCT
ejpam-5932	266	1	zhurnal	zhurnal	ADJ
ejpam-5932	267	1	vychislitel’noi	vychislitel’noi	INTJ
ejpam-5932	267	2	matematiki	matematiki	PRON
ejpam-5932	268	1	i	i	PRON
ejpam-5932	268	2	matematicheskoi	matematicheskoi	VERB
ejpam-5932	268	3	fiziki	fiziki	ADJ
ejpam-5932	268	4	,	,	PUNCT
ejpam-5932	268	5	9(4):807–821	9(4):807–821	NUM
ejpam-5932	268	6	,	,	PUNCT
ejpam-5932	268	7	1969	1969	NUM
ejpam-5932	268	8	.	.	PUNCT
ejpam-5932	269	1	[	[	X
ejpam-5932	269	2	19	19	NUM
ejpam-5932	269	3	]	]	X
ejpam-5932	269	4	e.	e.	PROPN
ejpam-5932	269	5	polak	polak	PROPN
ejpam-5932	269	6	and	and	CCONJ
ejpam-5932	269	7	g.	g.	PROPN
ejpam-5932	269	8	ribière	ribière	PROPN
ejpam-5932	269	9	.	.	PUNCT
ejpam-5932	270	1	note	note	VERB
ejpam-5932	270	2	sur	sur	PROPN
ejpam-5932	270	3	la	la	X
ejpam-5932	270	4	convergence	convergence	NOUN
ejpam-5932	270	5	de	de	X
ejpam-5932	270	6	méthodes	méthodes	X
ejpam-5932	270	7	de	de	PROPN
ejpam-5932	270	8	directions	direction	NOUN
ejpam-5932	270	9	conjuguées	conjuguées	PROPN
ejpam-5932	270	10	.	.	PUNCT
ejpam-5932	271	1	revue	revue	PROPN
ejpam-5932	271	2	française	française	PROPN
ejpam-5932	271	3	d’informatique	d’informatique	NOUN
ejpam-5932	271	4	et	et	X
ejpam-5932	271	5	de	de	X
ejpam-5932	271	6	recherche	recherche	X
ejpam-5932	271	7	opérationnelle	opérationnelle	PROPN
ejpam-5932	271	8	,	,	PUNCT
ejpam-5932	271	9	16:35–43	16:35–43	NUM
ejpam-5932	271	10	,	,	PUNCT
ejpam-5932	271	11	1969	1969	NUM
ejpam-5932	271	12	.	.	PUNCT
ejpam-5932	272	1	[	[	X
ejpam-5932	272	2	20	20	NUM
ejpam-5932	272	3	]	]	X
ejpam-5932	272	4	y.	y.	PROPN
ejpam-5932	272	5	liu	liu	PROPN
ejpam-5932	272	6	and	and	CCONJ
ejpam-5932	272	7	c.	c.	PROPN
ejpam-5932	272	8	storey	storey	PROPN
ejpam-5932	272	9	.	.	PUNCT
ejpam-5932	273	1	efficient	efficient	ADJ
ejpam-5932	273	2	generalized	generalize	VERB
ejpam-5932	273	3	conjugate	conjugate	ADJ
ejpam-5932	273	4	gradient	gradient	ADJ
ejpam-5932	273	5	algorithms	algorithm	NOUN
ejpam-5932	273	6	,	,	PUNCT
ejpam-5932	273	7	part	part	NOUN
ejpam-5932	273	8	1	1	NUM
ejpam-5932	273	9	:	:	PUNCT
ejpam-5932	273	10	theory	theory	NOUN
ejpam-5932	273	11	.	.	PUNCT
ejpam-5932	274	1	journal	journal	NOUN
ejpam-5932	274	2	of	of	ADP
ejpam-5932	274	3	optimization	optimization	NOUN
ejpam-5932	274	4	theory	theory	NOUN
ejpam-5932	274	5	and	and	CCONJ
ejpam-5932	274	6	applications	application	NOUN
ejpam-5932	274	7	,	,	PUNCT
ejpam-5932	274	8	69:129–137	69:129–137	NUM
ejpam-5932	274	9	,	,	PUNCT
ejpam-5932	274	10	1991	1991	NUM
ejpam-5932	274	11	.	.	PUNCT
ejpam-5932	275	1	[	[	X
ejpam-5932	275	2	21	21	NUM
ejpam-5932	275	3	]	]	X
ejpam-5932	275	4	y.	y.	PROPN
ejpam-5932	275	5	h.	h.	PROPN
ejpam-5932	275	6	dai	dai	PROPN
ejpam-5932	275	7	and	and	CCONJ
ejpam-5932	275	8	y.	y.	PROPN
ejpam-5932	275	9	yuan	yuan	PROPN
ejpam-5932	275	10	.	.	PUNCT
ejpam-5932	276	1	a	a	DET
ejpam-5932	276	2	nonlinear	nonlinear	ADJ
ejpam-5932	276	3	conjugate	conjugate	ADJ
ejpam-5932	276	4	gradient	gradient	NOUN
ejpam-5932	276	5	method	method	NOUN
ejpam-5932	276	6	with	with	ADP
ejpam-5932	276	7	a	a	DET
ejpam-5932	276	8	strong	strong	ADJ
ejpam-5932	276	9	global	global	ADJ
ejpam-5932	276	10	convergence	convergence	NOUN
ejpam-5932	276	11	property	property	NOUN
ejpam-5932	276	12	.	.	PUNCT
ejpam-5932	277	1	siam	siam	PROPN
ejpam-5932	277	2	journal	journal	PROPN
ejpam-5932	277	3	on	on	ADP
ejpam-5932	277	4	optimization	optimization	NOUN
ejpam-5932	277	5	,	,	PUNCT
ejpam-5932	277	6	10(1):177–182	10(1):177–182	NUM
ejpam-5932	277	7	,	,	PUNCT
ejpam-5932	277	8	1999	1999	NUM
ejpam-5932	277	9	.	.	PUNCT
ejpam-5932	278	1	[	[	X
ejpam-5932	278	2	22	22	NUM
ejpam-5932	278	3	]	]	PUNCT
ejpam-5932	278	4	r.	r.	PROPN
ejpam-5932	278	5	fletcher	fletcher	PROPN
ejpam-5932	278	6	.	.	PUNCT
ejpam-5932	279	1	practical	practical	ADJ
ejpam-5932	279	2	methods	method	NOUN
ejpam-5932	279	3	of	of	ADP
ejpam-5932	279	4	optimization	optimization	NOUN
ejpam-5932	279	5	,	,	PUNCT
ejpam-5932	279	6	unconstrained	unconstrained	ADJ
ejpam-5932	279	7	optimization	optimization	NOUN
ejpam-5932	279	8	,	,	PUNCT
ejpam-5932	279	9	volume	volume	NOUN
ejpam-5932	279	10	1	1	NUM
ejpam-5932	279	11	.	.	PUNCT
ejpam-5932	280	1	john	john	PROPN
ejpam-5932	280	2	wiley	wiley	PROPN
ejpam-5932	280	3	and	and	CCONJ
ejpam-5932	280	4	sons	son	NOUN
ejpam-5932	280	5	,	,	PUNCT
ejpam-5932	280	6	new	new	PROPN
ejpam-5932	280	7	york	york	PROPN
ejpam-5932	280	8	,	,	PUNCT
ejpam-5932	280	9	1987	1987	NUM
ejpam-5932	280	10	.	.	PUNCT
ejpam-5932	281	1	[	[	X
ejpam-5932	281	2	23	23	NUM
ejpam-5932	281	3	]	]	PUNCT
ejpam-5932	281	4	m.	m.	NOUN
ejpam-5932	281	5	l.	l.	PROPN
ejpam-5932	281	6	n.	n.	PROPN
ejpam-5932	281	7	goncalves	goncalves	PROPN
ejpam-5932	281	8	,	,	PUNCT
ejpam-5932	281	9	f.	f.	PROPN
ejpam-5932	281	10	s.	s.	PROPN
ejpam-5932	281	11	lima	lima	PROPN
ejpam-5932	281	12	,	,	PUNCT
ejpam-5932	281	13	and	and	CCONJ
ejpam-5932	281	14	l.	l.	PROPN
ejpam-5932	281	15	f.	f.	PROPN
ejpam-5932	281	16	prudente	prudente	PROPN
ejpam-5932	281	17	.	.	PUNCT
ejpam-5932	282	1	a	a	DET
ejpam-5932	282	2	study	study	NOUN
ejpam-5932	282	3	of	of	ADP
ejpam-5932	282	4	liu	liu	PROPN
ejpam-5932	282	5	-	-	PUNCT
ejpam-5932	282	6	storey	storey	NOUN
ejpam-5932	282	7	conjugate	conjugate	VERB
ejpam-5932	282	8	gradient	gradient	ADJ
ejpam-5932	282	9	methods	method	NOUN
ejpam-5932	282	10	for	for	ADP
ejpam-5932	282	11	vector	vector	NOUN
ejpam-5932	282	12	optimization	optimization	NOUN
ejpam-5932	282	13	.	.	PUNCT
ejpam-5932	283	1	applied	apply	VERB
ejpam-5932	283	2	mathematics	mathematic	NOUN
ejpam-5932	283	3	and	and	CCONJ
ejpam-5932	283	4	computation	computation	NOUN
ejpam-5932	283	5	,	,	PUNCT
ejpam-5932	283	6	425:127099	425:127099	NUM
ejpam-5932	283	7	,	,	PUNCT
ejpam-5932	283	8	2022	2022	NUM
ejpam-5932	283	9	.	.	PUNCT
ejpam-5932	284	1	[	[	X
ejpam-5932	284	2	24	24	NUM
ejpam-5932	284	3	]	]	PUNCT
ejpam-5932	284	4	b.	b.	PROPN
ejpam-5932	284	5	a.	a.	PROPN
ejpam-5932	284	6	hassan	hassan	PROPN
ejpam-5932	284	7	and	and	CCONJ
ejpam-5932	284	8	a.	a.	NOUN
ejpam-5932	284	9	a.	a.	PROPN
ejpam-5932	284	10	saad	saad	PROPN
ejpam-5932	284	11	.	.	PUNCT
ejpam-5932	285	1	explaining	explain	VERB
ejpam-5932	285	2	new	new	ADJ
ejpam-5932	285	3	parameters	parameter	NOUN
ejpam-5932	285	4	conjugate	conjugate	VERB
ejpam-5932	285	5	analysis	analysis	NOUN
ejpam-5932	285	6	based	base	VERB
ejpam-5932	285	7	on	on	ADP
ejpam-5932	285	8	the	the	DET
ejpam-5932	285	9	quadratic	quadratic	ADJ
ejpam-5932	285	10	model	model	NOUN
ejpam-5932	285	11	.	.	PUNCT
ejpam-5932	286	1	journal	journal	PROPN
ejpam-5932	286	2	of	of	ADP
ejpam-5932	286	3	interdisciplinary	interdisciplinary	ADJ
ejpam-5932	286	4	mathematics	mathematic	NOUN
ejpam-5932	286	5	,	,	PUNCT
ejpam-5932	286	6	26(6):1219–1229	26(6):1219–1229	NUM
ejpam-5932	286	7	,	,	PUNCT
ejpam-5932	286	8	2023	2023	NUM
ejpam-5932	286	9	.	.	PUNCT
ejpam-5932	287	1	a.	a.	PROPN
ejpam-5932	287	2	l.	l.	PROPN
ejpam-5932	287	3	ibrahim	ibrahim	PROPN
ejpam-5932	287	4	et	et	PROPN
ejpam-5932	287	5	al	al	PROPN
ejpam-5932	287	6	.	.	PUNCT
ejpam-5932	287	7	/	/	SYM
ejpam-5932	287	8	eur	eur	PROPN
ejpam-5932	287	9	.	.	PUNCT
ejpam-5932	288	1	j.	j.	PROPN
ejpam-5932	288	2	pure	pure	PROPN
ejpam-5932	288	3	appl	appl	PROPN
ejpam-5932	288	4	.	.	PROPN
ejpam-5932	288	5	math	math	PROPN
ejpam-5932	288	6	,	,	PUNCT
ejpam-5932	288	7	18	18	NUM
ejpam-5932	288	8	(	(	PUNCT
ejpam-5932	288	9	2	2	NUM
ejpam-5932	288	10	)	)	PUNCT
ejpam-5932	288	11	(	(	PUNCT
ejpam-5932	288	12	2025	2025	NUM
ejpam-5932	288	13	)	)	PUNCT
ejpam-5932	288	14	,	,	PUNCT
ejpam-5932	288	15	5932	5932	NUM
ejpam-5932	288	16	15	15	NUM
ejpam-5932	288	17	of	of	ADP
ejpam-5932	288	18	15	15	NUM
ejpam-5932	288	19	[	[	X
ejpam-5932	288	20	25	25	NUM
ejpam-5932	288	21	]	]	PUNCT
ejpam-5932	288	22	b.	b.	PROPN
ejpam-5932	288	23	a.	a.	PROPN
ejpam-5932	288	24	hassan	hassan	PROPN
ejpam-5932	288	25	,	,	PUNCT
ejpam-5932	288	26	h.	h.	PROPN
ejpam-5932	288	27	n.	n.	PROPN
ejpam-5932	288	28	jabbar	jabbar	PROPN
ejpam-5932	288	29	,	,	PUNCT
ejpam-5932	288	30	and	and	CCONJ
ejpam-5932	288	31	y.	y.	NOUN
ejpam-5932	288	32	a.	a.	NOUN
ejpam-5932	288	33	laylani	laylani	PROPN
ejpam-5932	288	34	.	.	PUNCT
ejpam-5932	289	1	upscaling	upscale	VERB
ejpam-5932	289	2	parameters	parameter	NOUN
ejpam-5932	289	3	for	for	ADP
ejpam-5932	289	4	conjugate	conjugate	ADJ
ejpam-5932	289	5	gradient	gradient	NOUN
ejpam-5932	289	6	method	method	NOUN
ejpam-5932	289	7	in	in	ADP
ejpam-5932	289	8	unconstrained	unconstrained	ADJ
ejpam-5932	289	9	optimization	optimization	NOUN
ejpam-5932	289	10	.	.	PUNCT
ejpam-5932	290	1	journal	journal	PROPN
ejpam-5932	290	2	of	of	ADP
ejpam-5932	290	3	interdisciplinary	interdisciplinary	ADJ
ejpam-5932	290	4	mathematics	mathematic	NOUN
ejpam-5932	290	5	,	,	PUNCT
ejpam-5932	290	6	26(6):1171–1180	26(6):1171–1180	NUM
ejpam-5932	290	7	,	,	PUNCT
ejpam-5932	290	8	2023	2023	NUM
ejpam-5932	290	9	.	.	PUNCT
ejpam-5932	291	1	[	[	X
ejpam-5932	291	2	26	26	NUM
ejpam-5932	291	3	]	]	X
ejpam-5932	291	4	b.	b.	PROPN
ejpam-5932	291	5	hassan	hassan	PROPN
ejpam-5932	291	6	and	and	CCONJ
ejpam-5932	291	7	a.	a.	PROPN
ejpam-5932	291	8	saad	saad	PROPN
ejpam-5932	291	9	.	.	PUNCT
ejpam-5932	292	1	elastic	elastic	ADJ
ejpam-5932	292	2	conjugate	conjugate	ADJ
ejpam-5932	292	3	gradient	gradient	ADJ
ejpam-5932	292	4	methods	method	NOUN
ejpam-5932	292	5	to	to	PART
ejpam-5932	292	6	solve	solve	VERB
ejpam-5932	292	7	iteration	iteration	NOUN
ejpam-5932	292	8	problems	problem	NOUN
ejpam-5932	292	9	.	.	PUNCT
ejpam-5932	293	1	https://tarupublication.s3south-1.amazonaws.com/articles/jim-1619	https://tarupublication.s3south-1.amazonaws.com/articles/jim-1619	PROPN
ejpam-5932	293	2	.	.	PUNCT
ejpam-5932	293	3	accessed	access	VERB
ejpam-5932	293	4	:	:	PUNCT
ejpam-5932	293	5	dec	dec	PROPN
ejpam-5932	293	6	.	.	PROPN
ejpam-5932	293	7	10	10	NUM
ejpam-5932	293	8	,	,	PUNCT
ejpam-5932	293	9	2024	2024	NUM
ejpam-5932	293	10	.	.	PUNCT
ejpam-5932	294	1	[	[	X
ejpam-5932	294	2	27	27	NUM
ejpam-5932	294	3	]	]	X
ejpam-5932	294	4	b.	b.	PROPN
ejpam-5932	294	5	a.	a.	PROPN
ejpam-5932	294	6	hassan	hassan	PROPN
ejpam-5932	294	7	and	and	CCONJ
ejpam-5932	294	8	h.	h.	PROPN
ejpam-5932	294	9	a.	a.	PROPN
ejpam-5932	294	10	alashoor	alashoor	PROPN
ejpam-5932	294	11	.	.	PUNCT
ejpam-5932	295	1	on	on	ADP
ejpam-5932	295	2	image	image	NOUN
ejpam-5932	295	3	restoration	restoration	NOUN
ejpam-5932	295	4	problems	problem	NOUN
ejpam-5932	295	5	using	use	VERB
ejpam-5932	295	6	new	new	ADJ
ejpam-5932	295	7	conjugate	conjugate	ADJ
ejpam-5932	295	8	gradient	gradient	ADJ
ejpam-5932	295	9	methods	method	NOUN
ejpam-5932	295	10	.	.	PUNCT
ejpam-5932	296	1	indonesian	indonesian	ADJ
ejpam-5932	296	2	journal	journal	PROPN
ejpam-5932	296	3	of	of	ADP
ejpam-5932	296	4	electrical	electrical	ADJ
ejpam-5932	296	5	engineering	engineering	NOUN
ejpam-5932	296	6	and	and	CCONJ
ejpam-5932	296	7	computer	computer	NOUN
ejpam-5932	296	8	science	science	NOUN
ejpam-5932	296	9	,	,	PUNCT
ejpam-5932	296	10	29(3):1438–1445	29(3):1438–1445	PROPN
ejpam-5932	296	11	,	,	PUNCT
ejpam-5932	296	12	2023	2023	NUM
ejpam-5932	296	13	.	.	PUNCT
ejpam-5932	297	1	[	[	X
ejpam-5932	297	2	28	28	NUM
ejpam-5932	297	3	]	]	X
ejpam-5932	297	4	a.	a.	PROPN
ejpam-5932	297	5	perry	perry	PROPN
ejpam-5932	297	6	.	.	PUNCT
ejpam-5932	298	1	a	a	DET
ejpam-5932	298	2	modified	modify	VERB
ejpam-5932	298	3	conjugate	conjugate	ADJ
ejpam-5932	298	4	gradient	gradient	ADJ
ejpam-5932	298	5	algorithm	algorithm	NOUN
ejpam-5932	298	6	.	.	PUNCT
ejpam-5932	299	1	operations	operation	NOUN
ejpam-5932	299	2	research	research	NOUN
ejpam-5932	299	3	,	,	PUNCT
ejpam-5932	299	4	26:1073	26:1073	NUM
ejpam-5932	299	5	–	–	PUNCT
ejpam-5932	299	6	1078	1078	NUM
ejpam-5932	299	7	,	,	PUNCT
ejpam-5932	299	8	1978	1978	NUM
ejpam-5932	299	9	.	.	PUNCT
ejpam-5932	300	1	[	[	X
ejpam-5932	300	2	29	29	NUM
ejpam-5932	300	3	]	]	PUNCT
ejpam-5932	300	4	m.	m.	NOUN
ejpam-5932	300	5	j.	j.	PROPN
ejpam-5932	300	6	d.	d.	PROPN
ejpam-5932	300	7	powell	powell	PROPN
ejpam-5932	300	8	.	.	PUNCT
ejpam-5932	301	1	algorithms	algorithm	NOUN
ejpam-5932	301	2	for	for	ADP
ejpam-5932	301	3	nonlinear	nonlinear	ADJ
ejpam-5932	301	4	constraints	constraint	NOUN
ejpam-5932	301	5	that	that	PRON
ejpam-5932	301	6	use	use	VERB
ejpam-5932	301	7	lagrangian	lagrangian	ADJ
ejpam-5932	301	8	functions	function	NOUN
ejpam-5932	301	9	.	.	PUNCT
ejpam-5932	302	1	mathematical	mathematical	ADJ
ejpam-5932	302	2	programming	programming	NOUN
ejpam-5932	302	3	,	,	PUNCT
ejpam-5932	302	4	14:224–248	14:224–248	NUM
ejpam-5932	302	5	,	,	PUNCT
ejpam-5932	302	6	1978	1978	NUM
ejpam-5932	302	7	.	.	PUNCT
ejpam-5932	303	1	[	[	X
ejpam-5932	303	2	30	30	NUM
ejpam-5932	303	3	]	]	X
ejpam-5932	303	4	n.	n.	PROPN
ejpam-5932	303	5	andrei	andrei	PROPN
ejpam-5932	303	6	.	.	PUNCT
ejpam-5932	304	1	accelerated	accelerate	VERB
ejpam-5932	304	2	conjugate	conjugate	ADJ
ejpam-5932	304	3	gradient	gradient	ADJ
ejpam-5932	304	4	algorithm	algorithm	NOUN
ejpam-5932	304	5	with	with	ADP
ejpam-5932	304	6	finite	finite	ADJ
ejpam-5932	304	7	difference	difference	NOUN
ejpam-5932	304	8	hessian	hessian	NOUN
ejpam-5932	304	9	/	/	SYM
ejpam-5932	304	10	vector	vector	NOUN
ejpam-5932	304	11	product	product	NOUN
ejpam-5932	304	12	approximation	approximation	NOUN
ejpam-5932	304	13	for	for	ADP
ejpam-5932	304	14	unconstrained	unconstrained	ADJ
ejpam-5932	304	15	optimization	optimization	NOUN
ejpam-5932	304	16	.	.	PUNCT
ejpam-5932	305	1	journal	journal	PROPN
ejpam-5932	305	2	of	of	ADP
ejpam-5932	305	3	computational	computational	ADJ
ejpam-5932	305	4	and	and	CCONJ
ejpam-5932	305	5	applied	applied	ADJ
ejpam-5932	305	6	mathematics	mathematic	NOUN
ejpam-5932	305	7	,	,	PUNCT
ejpam-5932	305	8	230(2):570–582	230(2):570–582	NUM
ejpam-5932	305	9	,	,	PUNCT
ejpam-5932	305	10	2009	2009	NUM
ejpam-5932	305	11	.	.	PUNCT
ejpam-5932	306	1	[	[	X
ejpam-5932	306	2	31	31	NUM
ejpam-5932	306	3	]	]	X
ejpam-5932	306	4	y.	y.	PROPN
ejpam-5932	306	5	dai	dai	PROPN
ejpam-5932	306	6	,	,	PUNCT
ejpam-5932	306	7	j.	j.	PROPN
ejpam-5932	306	8	han	han	PROPN
ejpam-5932	306	9	,	,	PUNCT
ejpam-5932	306	10	g.	g.	PROPN
ejpam-5932	306	11	liu	liu	PROPN
ejpam-5932	306	12	,	,	PUNCT
ejpam-5932	306	13	d.	d.	PROPN
ejpam-5932	306	14	sun	sun	PROPN
ejpam-5932	306	15	,	,	PUNCT
ejpam-5932	306	16	h.	h.	PROPN
ejpam-5932	306	17	yin	yin	PROPN
ejpam-5932	306	18	,	,	PUNCT
ejpam-5932	306	19	and	and	CCONJ
ejpam-5932	306	20	y.-x	y.-x	PROPN
ejpam-5932	306	21	.	.	PUNCT
ejpam-5932	307	1	yuan	yuan	PROPN
ejpam-5932	307	2	.	.	PUNCT
ejpam-5932	308	1	convergence	convergence	NOUN
ejpam-5932	308	2	properties	property	NOUN
ejpam-5932	308	3	of	of	ADP
ejpam-5932	308	4	nonlinear	nonlinear	ADJ
ejpam-5932	308	5	conjugate	conjugate	ADJ
ejpam-5932	308	6	gradient	gradient	ADJ
ejpam-5932	308	7	methods	method	NOUN
ejpam-5932	308	8	.	.	PUNCT
ejpam-5932	309	1	siam	siam	PROPN
ejpam-5932	309	2	journal	journal	PROPN
ejpam-5932	309	3	on	on	ADP
ejpam-5932	309	4	optimization	optimization	NOUN
ejpam-5932	309	5	,	,	PUNCT
ejpam-5932	309	6	10:345–358	10:345–358	PROPN
ejpam-5932	309	7	,	,	PUNCT
ejpam-5932	309	8	1999	1999	NUM
ejpam-5932	309	9	.	.	PUNCT
ejpam-5932	310	1	[	[	X
ejpam-5932	310	2	32	32	NUM
ejpam-5932	310	3	]	]	X
ejpam-5932	310	4	n.	n.	PROPN
ejpam-5932	310	5	i.	i.	PROPN
ejpam-5932	310	6	m.	m.	PROPN
ejpam-5932	310	7	gould	gould	PROPN
ejpam-5932	310	8	,	,	PUNCT
ejpam-5932	310	9	d.	d.	PROPN
ejpam-5932	310	10	orban	orban	PROPN
ejpam-5932	310	11	,	,	PUNCT
ejpam-5932	310	12	and	and	CCONJ
ejpam-5932	310	13	p.	p.	PROPN
ejpam-5932	310	14	l.	l.	PROPN
ejpam-5932	310	15	toint	toint	PROPN
ejpam-5932	310	16	.	.	PUNCT
ejpam-5932	311	1	cuter	cut	ADJ
ejpam-5932	311	2	and	and	CCONJ
ejpam-5932	311	3	sifdec	sifdec	PROPN
ejpam-5932	311	4	:	:	PUNCT
ejpam-5932	311	5	a	a	DET
ejpam-5932	311	6	constrained	constrain	VERB
ejpam-5932	311	7	and	and	CCONJ
ejpam-5932	311	8	unconstrained	unconstrained	ADJ
ejpam-5932	311	9	testing	testing	NOUN
ejpam-5932	311	10	environment	environment	NOUN
ejpam-5932	311	11	,	,	PUNCT
ejpam-5932	311	12	revisited	revisit	VERB
ejpam-5932	311	13	.	.	PUNCT
ejpam-5932	312	1	acm	acm	NOUN
ejpam-5932	312	2	transactions	transaction	NOUN
ejpam-5932	312	3	on	on	ADP
ejpam-5932	312	4	mathematical	mathematical	ADJ
ejpam-5932	312	5	software	software	NOUN
ejpam-5932	312	6	,	,	PUNCT
ejpam-5932	312	7	29:373–394	29:373–394	NUM
ejpam-5932	312	8	,	,	PUNCT
ejpam-5932	312	9	2003	2003	NUM
ejpam-5932	312	10	.	.	PUNCT
ejpam-5932	313	1	[	[	X
ejpam-5932	313	2	33	33	NUM
ejpam-5932	313	3	]	]	PUNCT
ejpam-5932	313	4	j.	j.	PROPN
ejpam-5932	313	5	j.	j.	PROPN
ejpam-5932	313	6	moré	moré	PROPN
ejpam-5932	313	7	,	,	PUNCT
ejpam-5932	313	8	b.	b.	PROPN
ejpam-5932	313	9	s.	s.	PROPN
ejpam-5932	313	10	garbow	garbow	PROPN
ejpam-5932	313	11	,	,	PUNCT
ejpam-5932	313	12	and	and	CCONJ
ejpam-5932	313	13	k.	k.	PROPN
ejpam-5932	313	14	e.	e.	PROPN
ejpam-5932	313	15	hillstrom	hillstrom	PROPN
ejpam-5932	313	16	.	.	PUNCT
ejpam-5932	314	1	testing	test	VERB
ejpam-5932	314	2	unconstrained	unconstraine	VERB
ejpam-5932	314	3	optimization	optimization	NOUN
ejpam-5932	314	4	software	software	NOUN
ejpam-5932	314	5	.	.	PUNCT
ejpam-5932	315	1	acm	acm	PROPN
ejpam-5932	315	2	transactions	transaction	NOUN
ejpam-5932	315	3	on	on	ADP
ejpam-5932	315	4	mathematical	mathematical	ADJ
ejpam-5932	315	5	software	software	NOUN
ejpam-5932	315	6	,	,	PUNCT
ejpam-5932	315	7	7:17–41	7:17–41	NUM
ejpam-5932	315	8	,	,	PUNCT
ejpam-5932	315	9	1981	1981	NUM
ejpam-5932	315	10	.	.	PUNCT
ejpam-5932	316	1	[	[	X
ejpam-5932	316	2	34	34	NUM
ejpam-5932	316	3	]	]	X
ejpam-5932	316	4	e.	e.	PROPN
ejpam-5932	316	5	d.	d.	PROPN
ejpam-5932	316	6	dolan	dolan	PROPN
ejpam-5932	316	7	and	and	CCONJ
ejpam-5932	316	8	j.	j.	PROPN
ejpam-5932	316	9	j.	j.	PROPN
ejpam-5932	316	10	moré.	moré.	PROPN
ejpam-5932	316	11	benchmarking	benchmarke	VERB
ejpam-5932	316	12	optimization	optimization	NOUN
ejpam-5932	316	13	software	software	NOUN
ejpam-5932	316	14	with	with	ADP
ejpam-5932	316	15	performance	performance	NOUN
ejpam-5932	316	16	profiles	profile	NOUN
ejpam-5932	316	17	.	.	PUNCT
ejpam-5932	317	1	mathematical	mathematical	ADJ
ejpam-5932	317	2	programming	programming	NOUN
ejpam-5932	317	3	,	,	PUNCT
ejpam-5932	317	4	91:201–213	91:201–213	NUM
ejpam-5932	317	5	,	,	PUNCT
ejpam-5932	317	6	2002	2002	NUM
ejpam-5932	317	7	.	.	PUNCT
ejpam-5932	318	1	[	[	X
ejpam-5932	318	2	35	35	NUM
ejpam-5932	318	3	]	]	X
ejpam-5932	318	4	n.	n.	NOUN
ejpam-5932	318	5	andrei	andrei	PROPN
ejpam-5932	318	6	.	.	PUNCT
ejpam-5932	319	1	an	an	DET
ejpam-5932	319	2	unconstrained	unconstrained	ADJ
ejpam-5932	319	3	optimization	optimization	NOUN
ejpam-5932	319	4	test	test	NOUN
ejpam-5932	319	5	functions	function	NOUN
ejpam-5932	319	6	collection	collection	NOUN
ejpam-5932	319	7	.	.	PUNCT
ejpam-5932	320	1	advanced	advanced	ADJ
ejpam-5932	320	2	modeling	modeling	NOUN
ejpam-5932	320	3	and	and	CCONJ
ejpam-5932	320	4	optimization	optimization	NOUN
ejpam-5932	320	5	,	,	PUNCT
ejpam-5932	320	6	10:147–161	10:147–161	NUM
ejpam-5932	320	7	,	,	PUNCT
ejpam-5932	320	8	2008	2008	NUM
ejpam-5932	320	9	.	.	PUNCT