id	sid	tid	token	lemma	pos
ejpam-4754	1	1	european	european	PROPN
ejpam-4754	1	2	journal	journal	PROPN
ejpam-4754	1	3	of	of	ADP
ejpam-4754	1	4	pure	pure	ADJ
ejpam-4754	1	5	and	and	CCONJ
ejpam-4754	1	6	applied	apply	VERB
ejpam-4754	1	7	mathematics	mathematic	NOUN
ejpam-4754	1	8	vol	vol	NOUN
ejpam-4754	1	9	.	.	PUNCT
ejpam-4754	2	1	16	16	NUM
ejpam-4754	2	2	,	,	PUNCT
ejpam-4754	2	3	no	no	INTJ
ejpam-4754	2	4	.	.	NOUN
ejpam-4754	2	5	2	2	NUM
ejpam-4754	2	6	,	,	PUNCT
ejpam-4754	2	7	2023	2023	NUM
ejpam-4754	2	8	,	,	PUNCT
ejpam-4754	2	9	975	975	NUM
ejpam-4754	2	10	-	-	SYM
ejpam-4754	2	11	982	982	NUM
ejpam-4754	2	12	issn	issn	PROPN
ejpam-4754	2	13	1307	1307	NUM
ejpam-4754	2	14	-	-	SYM
ejpam-4754	2	15	5543	5543	NUM
ejpam-4754	2	16	–	–	PUNCT
ejpam-4754	2	17	ejpam.com	ejpam.com	X
ejpam-4754	2	18	published	publish	VERB
ejpam-4754	2	19	by	by	ADP
ejpam-4754	2	20	new	new	PROPN
ejpam-4754	2	21	york	york	PROPN
ejpam-4754	2	22	business	business	PROPN
ejpam-4754	2	23	global	global	ADJ
ejpam-4754	2	24	computational	computational	ADJ
ejpam-4754	2	25	experience	experience	NOUN
ejpam-4754	2	26	with	with	ADP
ejpam-4754	2	27	modified	modified	ADJ
ejpam-4754	2	28	coefficients	coefficient	NOUN
ejpam-4754	2	29	conjugate	conjugate	ADJ
ejpam-4754	2	30	gradient	gradient	NOUN
ejpam-4754	2	31	for	for	ADP
ejpam-4754	2	32	image	image	NOUN
ejpam-4754	2	33	restoration	restoration	NOUN
ejpam-4754	2	34	basim	basim	NOUN
ejpam-4754	2	35	a.	a.	PROPN
ejpam-4754	2	36	hassan1,∗	hassan1,∗	PROPN
ejpam-4754	2	37	,	,	PUNCT
ejpam-4754	2	38	maysoon	maysoon	NOUN
ejpam-4754	2	39	m.	m.	NOUN
ejpam-4754	2	40	aziz1	aziz1	PROPN
ejpam-4754	2	41	1	1	NUM
ejpam-4754	2	42	department	department	NOUN
ejpam-4754	2	43	of	of	ADP
ejpam-4754	2	44	mathematics	mathematic	NOUN
ejpam-4754	2	45	,	,	PUNCT
ejpam-4754	2	46	college	college	NOUN
ejpam-4754	2	47	of	of	ADP
ejpam-4754	2	48	computers	computer	NOUN
ejpam-4754	2	49	sciences	sciences	PROPN
ejpam-4754	2	50	and	and	CCONJ
ejpam-4754	2	51	mathematics	mathematic	NOUN
ejpam-4754	2	52	,	,	PUNCT
ejpam-4754	2	53	university	university	PROPN
ejpam-4754	2	54	of	of	ADP
ejpam-4754	2	55	mosul	mosul	PROPN
ejpam-4754	2	56	,	,	PUNCT
ejpam-4754	2	57	iraq	iraq	PROPN
ejpam-4754	2	58	abstract	abstract	NOUN
ejpam-4754	2	59	.	.	PUNCT
ejpam-4754	3	1	the	the	DET
ejpam-4754	3	2	conjugate	conjugate	ADJ
ejpam-4754	3	3	gradient	gradient	NOUN
ejpam-4754	3	4	method	method	NOUN
ejpam-4754	3	5	is	be	AUX
ejpam-4754	3	6	a	a	DET
ejpam-4754	3	7	numerical	numerical	ADJ
ejpam-4754	3	8	optimization	optimization	NOUN
ejpam-4754	3	9	technique	technique	NOUN
ejpam-4754	3	10	that	that	PRON
ejpam-4754	3	11	finds	find	VERB
ejpam-4754	3	12	the	the	DET
ejpam-4754	3	13	optimal	optimal	ADJ
ejpam-4754	3	14	solution	solution	NOUN
ejpam-4754	3	15	by	by	ADP
ejpam-4754	3	16	focusing	focus	VERB
ejpam-4754	3	17	on	on	ADP
ejpam-4754	3	18	the	the	DET
ejpam-4754	3	19	coefficient	coefficient	NOUN
ejpam-4754	3	20	conjugate	conjugate	NOUN
ejpam-4754	3	21	.	.	PUNCT
ejpam-4754	4	1	this	this	DET
ejpam-4754	4	2	paper	paper	NOUN
ejpam-4754	4	3	presents	present	VERB
ejpam-4754	4	4	a	a	DET
ejpam-4754	4	5	new	new	ADJ
ejpam-4754	4	6	coefficients	coefficient	NOUN
ejpam-4754	4	7	conjugate	conjugate	VERB
ejpam-4754	4	8	gradient	gradient	NOUN
ejpam-4754	4	9	method	method	NOUN
ejpam-4754	4	10	for	for	ADP
ejpam-4754	4	11	removing	remove	VERB
ejpam-4754	4	12	impulse	impulse	ADJ
ejpam-4754	4	13	noise	noise	NOUN
ejpam-4754	4	14	from	from	ADP
ejpam-4754	4	15	images	image	NOUN
ejpam-4754	4	16	,	,	PUNCT
ejpam-4754	4	17	which	which	PRON
ejpam-4754	4	18	is	be	AUX
ejpam-4754	4	19	based	base	VERB
ejpam-4754	4	20	on	on	ADP
ejpam-4754	4	21	a	a	DET
ejpam-4754	4	22	quadratic	quadratic	ADJ
ejpam-4754	4	23	function	function	NOUN
ejpam-4754	4	24	and	and	CCONJ
ejpam-4754	4	25	is	be	AUX
ejpam-4754	4	26	proven	prove	VERB
ejpam-4754	4	27	to	to	PART
ejpam-4754	4	28	be	be	AUX
ejpam-4754	4	29	globally	globally	ADV
ejpam-4754	4	30	convergent	convergent	ADJ
ejpam-4754	4	31	.	.	PUNCT
ejpam-4754	5	1	results	result	NOUN
ejpam-4754	5	2	show	show	VERB
ejpam-4754	5	3	that	that	SCONJ
ejpam-4754	5	4	it	it	PRON
ejpam-4754	5	5	is	be	AUX
ejpam-4754	5	6	an	an	DET
ejpam-4754	5	7	effective	effective	ADJ
ejpam-4754	5	8	method	method	NOUN
ejpam-4754	5	9	for	for	ADP
ejpam-4754	5	10	image	image	NOUN
ejpam-4754	5	11	restoration	restoration	NOUN
ejpam-4754	5	12	.	.	PUNCT
ejpam-4754	6	1	2020	2020	NUM
ejpam-4754	6	2	mathematics	mathematic	NOUN
ejpam-4754	6	3	subject	subject	NOUN
ejpam-4754	6	4	classifications	classification	NOUN
ejpam-4754	6	5	:	:	PUNCT
ejpam-4754	6	6	65k10	65k10	NUM
ejpam-4754	6	7	,	,	PUNCT
ejpam-4754	6	8	49m37	49m37	NUM
ejpam-4754	6	9	,	,	PUNCT
ejpam-4754	6	10	90c06	90c06	NUM
ejpam-4754	6	11	key	key	ADJ
ejpam-4754	6	12	words	word	NOUN
ejpam-4754	6	13	and	and	CCONJ
ejpam-4754	6	14	phrases	phrase	NOUN
ejpam-4754	6	15	:	:	PUNCT
ejpam-4754	6	16	conjugate	conjugate	ADJ
ejpam-4754	6	17	gradient	gradient	NOUN
ejpam-4754	6	18	method	method	NOUN
ejpam-4754	6	19	,	,	PUNCT
ejpam-4754	6	20	coefficient	coefficient	NOUN
ejpam-4754	6	21	conjugate	conjugate	ADJ
ejpam-4754	6	22	gradient	gradient	NOUN
ejpam-4754	6	23	,	,	PUNCT
ejpam-4754	6	24	image	image	NOUN
ejpam-4754	6	25	restoration	restoration	NOUN
ejpam-4754	6	26	1	1	NUM
ejpam-4754	6	27	.	.	PUNCT
ejpam-4754	7	1	introduction	introduction	NOUN
ejpam-4754	7	2	this	this	DET
ejpam-4754	7	3	work	work	NOUN
ejpam-4754	7	4	presents	present	VERB
ejpam-4754	7	5	a	a	DET
ejpam-4754	7	6	class	class	NOUN
ejpam-4754	7	7	of	of	ADP
ejpam-4754	7	8	iterative	iterative	ADJ
ejpam-4754	7	9	methods	method	NOUN
ejpam-4754	7	10	for	for	ADP
ejpam-4754	7	11	optimization	optimization	NOUN
ejpam-4754	7	12	problems	problem	NOUN
ejpam-4754	7	13	where	where	SCONJ
ejpam-4754	7	14	the	the	DET
ejpam-4754	7	15	objective	objective	ADJ
ejpam-4754	7	16	function	function	NOUN
ejpam-4754	7	17	is	be	AUX
ejpam-4754	7	18	an	an	DET
ejpam-4754	7	19	edge	edge	NOUN
ejpam-4754	7	20	-	-	PUNCT
ejpam-4754	7	21	preserving	preserve	VERB
ejpam-4754	7	22	regularization	regularization	NOUN
ejpam-4754	7	23	(	(	PUNCT
ejpam-4754	7	24	epr	epr	ADJ
ejpam-4754	7	25	)	)	PUNCT
ejpam-4754	7	26	functional	functional	ADJ
ejpam-4754	7	27	.	.	PUNCT
ejpam-4754	8	1	the	the	DET
ejpam-4754	8	2	goal	goal	NOUN
ejpam-4754	8	3	is	be	AUX
ejpam-4754	8	4	to	to	PART
ejpam-4754	8	5	find	find	VERB
ejpam-4754	8	6	the	the	DET
ejpam-4754	8	7	optimal	optimal	ADJ
ejpam-4754	8	8	solution	solution	NOUN
ejpam-4754	8	9	to	to	ADP
ejpam-4754	8	10	the	the	DET
ejpam-4754	8	11	problem	problem	NOUN
ejpam-4754	8	12	.	.	PUNCT
ejpam-4754	9	1	impulse	impulse	ADJ
ejpam-4754	9	2	noise	noise	NOUN
ejpam-4754	9	3	can	can	AUX
ejpam-4754	9	4	be	be	AUX
ejpam-4754	9	5	identified	identify	VERB
ejpam-4754	9	6	and	and	CCONJ
ejpam-4754	9	7	filtered	filter	VERB
ejpam-4754	9	8	using	use	VERB
ejpam-4754	9	9	an	an	DET
ejpam-4754	9	10	adaptive	adaptive	ADJ
ejpam-4754	9	11	median	median	ADJ
ejpam-4754	9	12	filter	filter	NOUN
ejpam-4754	9	13	(	(	PUNCT
ejpam-4754	9	14	amf	amf	PROPN
ejpam-4754	9	15	)	)	PUNCT
ejpam-4754	9	16	equation	equation	NOUN
ejpam-4754	9	17	.	.	PUNCT
ejpam-4754	10	1	the	the	DET
ejpam-4754	10	2	true	true	ADJ
ejpam-4754	10	3	image	image	NOUN
ejpam-4754	10	4	is	be	AUX
ejpam-4754	10	5	denoted	denote	VERB
ejpam-4754	10	6	by	by	ADP
ejpam-4754	10	7	x	x	PUNCT
ejpam-4754	10	8	and	and	CCONJ
ejpam-4754	10	9	the	the	DET
ejpam-4754	10	10	index	index	NOUN
ejpam-4754	10	11	set	set	NOUN
ejpam-4754	10	12	of	of	ADP
ejpam-4754	10	13	x	x	PROPN
ejpam-4754	10	14	is	be	AUX
ejpam-4754	10	15	denoted	denote	VERB
ejpam-4754	10	16	by	by	ADP
ejpam-4754	10	17	a	a	DET
ejpam-4754	10	18	=	=	SYM
ejpam-4754	10	19	1	1	NUM
ejpam-4754	10	20	,	,	PUNCT
ejpam-4754	10	21	2	2	NUM
ejpam-4754	10	22	,	,	PUNCT
ejpam-4754	10	23	3	3	NUM
ejpam-4754	10	24	,	,	PUNCT
ejpam-4754	10	25	...	...	PUNCT
ejpam-4754	10	26	,	,	PUNCT
ejpam-4754	10	27	m	m	VERB
ejpam-4754	10	28	×	×	NOUN
ejpam-4754	10	29	1	1	NUM
ejpam-4754	10	30	,	,	PUNCT
ejpam-4754	10	31	2	2	NUM
ejpam-4754	10	32	,	,	PUNCT
ejpam-4754	10	33	3	3	NUM
ejpam-4754	10	34	,	,	PUNCT
ejpam-4754	10	35	...	...	PUNCT
ejpam-4754	10	36	,	,	PUNCT
ejpam-4754	11	1	n	n	X
ejpam-4754	11	2	.	.	PUNCT
ejpam-4754	12	1	the	the	DET
ejpam-4754	12	2	sets	set	NOUN
ejpam-4754	12	3	n	n	PRON
ejpam-4754	12	4	⊂	⊂	PROPN
ejpam-4754	12	5	a	a	PROPN
ejpam-4754	12	6	and	and	CCONJ
ejpam-4754	12	7	pi	pi	NOUN
ejpam-4754	12	8	,	,	PUNCT
ejpam-4754	12	9	j	j	PROPN
ejpam-4754	12	10	represent	represent	VERB
ejpam-4754	12	11	the	the	DET
ejpam-4754	12	12	indices	index	NOUN
ejpam-4754	12	13	of	of	ADP
ejpam-4754	12	14	noise	noise	NOUN
ejpam-4754	12	15	pixels	pixel	NOUN
ejpam-4754	12	16	detected	detect	VERB
ejpam-4754	12	17	in	in	ADP
ejpam-4754	12	18	the	the	DET
ejpam-4754	12	19	first	first	ADJ
ejpam-4754	12	20	phase	phase	NOUN
ejpam-4754	12	21	and	and	CCONJ
ejpam-4754	12	22	the	the	DET
ejpam-4754	12	23	four	four	NUM
ejpam-4754	12	24	closest	close	ADJ
ejpam-4754	12	25	neighbors	neighbor	NOUN
ejpam-4754	12	26	of	of	ADP
ejpam-4754	12	27	the	the	DET
ejpam-4754	12	28	pixel	pixel	NOUN
ejpam-4754	12	29	at	at	ADP
ejpam-4754	12	30	position	position	NOUN
ejpam-4754	12	31	(	(	PUNCT
ejpam-4754	12	32	i	i	PROPN
ejpam-4754	12	33	,	,	PUNCT
ejpam-4754	12	34	j	j	PROPN
ejpam-4754	12	35	)	)	PUNCT
ejpam-4754	12	36	∈	∈	PROPN
ejpam-4754	12	37	a	a	PRON
ejpam-4754	12	38	,	,	PUNCT
ejpam-4754	12	39	respectively	respectively	ADV
ejpam-4754	12	40	.	.	PUNCT
ejpam-4754	13	1	given	give	VERB
ejpam-4754	13	2	a	a	DET
ejpam-4754	13	3	pixel	pixel	PROPN
ejpam-4754	13	4	value	value	NOUN
ejpam-4754	13	5	yi	yi	PROPN
ejpam-4754	13	6	,	,	PUNCT
ejpam-4754	13	7	j	j	PROPN
ejpam-4754	13	8	at	at	ADP
ejpam-4754	13	9	position	position	NOUN
ejpam-4754	13	10	(	(	PUNCT
ejpam-4754	13	11	i	i	PROPN
ejpam-4754	13	12	,	,	PUNCT
ejpam-4754	13	13	j	j	PROPN
ejpam-4754	13	14	)	)	PUNCT
ejpam-4754	13	15	,	,	PUNCT
ejpam-4754	13	16	ui	ui	PROPN
ejpam-4754	13	17	,	,	PUNCT
ejpam-4754	13	18	j	j	PROPN
ejpam-4754	14	1	=	=	PUNCT
ejpam-4754	15	1	[	[	X
ejpam-4754	15	2	ui	ui	PROPN
ejpam-4754	15	3	,	,	PUNCT
ejpam-4754	15	4	j	j	PROPN
ejpam-4754	15	5	]	]	X
ejpam-4754	15	6	(	(	PUNCT
ejpam-4754	15	7	i	i	PRON
ejpam-4754	15	8	,	,	PUNCT
ejpam-4754	15	9	j)∈n	j)∈n	PROPN
ejpam-4754	15	10	is	be	AUX
ejpam-4754	15	11	a	a	DET
ejpam-4754	15	12	vector	vector	NOUN
ejpam-4754	15	13	of	of	ADP
ejpam-4754	15	14	length	length	NOUN
ejpam-4754	15	15	c	c	PROPN
ejpam-4754	15	16	that	that	PRON
ejpam-4754	15	17	is	be	AUX
ejpam-4754	15	18	ordered	order	VERB
ejpam-4754	15	19	lexicographically	lexicographically	ADV
ejpam-4754	15	20	.	.	PUNCT
ejpam-4754	16	1	the	the	DET
ejpam-4754	16	2	number	number	NOUN
ejpam-4754	16	3	of	of	ADP
ejpam-4754	16	4	elements	element	NOUN
ejpam-4754	16	5	in	in	ADP
ejpam-4754	16	6	a	a	DET
ejpam-4754	16	7	set	set	NOUN
ejpam-4754	16	8	n	n	NOUN
ejpam-4754	16	9	,	,	PUNCT
ejpam-4754	16	10	represented	represent	VERB
ejpam-4754	16	11	by	by	ADP
ejpam-4754	16	12	the	the	DET
ejpam-4754	16	13	letter	letter	NOUN
ejpam-4754	16	14	c.	c.	PROPN
ejpam-4754	16	15	here	here	ADV
ejpam-4754	16	16	c	c	PROPN
ejpam-4754	16	17	is	be	AUX
ejpam-4754	16	18	the	the	DET
ejpam-4754	16	19	number	number	NOUN
ejpam-4754	16	20	of	of	ADP
ejpam-4754	16	21	elements	element	NOUN
ejpam-4754	16	22	of	of	ADP
ejpam-4754	16	23	n	n	PROPN
ejpam-4754	16	24	.	.	PUNCT
ejpam-4754	17	1	a	a	DET
ejpam-4754	17	2	two	two	NUM
ejpam-4754	17	3	-	-	PUNCT
ejpam-4754	17	4	step	step	NOUN
ejpam-4754	17	5	process	process	NOUN
ejpam-4754	17	6	for	for	ADP
ejpam-4754	17	7	recovering	recover	VERB
ejpam-4754	17	8	noise	noise	NOUN
ejpam-4754	17	9	pixels	pixel	NOUN
ejpam-4754	17	10	.	.	PUNCT
ejpam-4754	18	1	the	the	DET
ejpam-4754	18	2	first	first	ADJ
ejpam-4754	18	3	step	step	NOUN
ejpam-4754	18	4	involves	involve	VERB
ejpam-4754	18	5	minimizing	minimize	VERB
ejpam-4754	18	6	a	a	DET
ejpam-4754	18	7	functional	functional	ADJ
ejpam-4754	18	8	,	,	PUNCT
ejpam-4754	18	9	and	and	CCONJ
ejpam-4754	18	10	the	the	DET
ejpam-4754	18	11	second	second	ADJ
ejpam-4754	18	12	step	step	NOUN
ejpam-4754	18	13	involves	involve	VERB
ejpam-4754	18	14	minimizing	minimize	VERB
ejpam-4754	18	15	a	a	DET
ejpam-4754	18	16	different	different	ADJ
ejpam-4754	18	17	functional	functional	NOUN
ejpam-4754	18	18	to	to	PART
ejpam-4754	18	19	recover	recover	VERB
ejpam-4754	18	20	the	the	DET
ejpam-4754	18	21	noise	noise	NOUN
ejpam-4754	18	22	pixels	pixel	NOUN
ejpam-4754	18	23	.	.	PUNCT
ejpam-4754	18	24	fa(u	fa(u	X
ejpam-4754	18	25	)	)	PUNCT
ejpam-4754	19	1	=	=	PUNCT
ejpam-4754	19	2	∑	∑	PUNCT
ejpam-4754	19	3	(	(	PUNCT
ejpam-4754	19	4	i	i	PROPN
ejpam-4754	19	5	,	,	PUNCT
ejpam-4754	19	6	j)∈n	j)∈n	PROPN
ejpam-4754	19	7	[	[	PUNCT
ejpam-4754	19	8	|ui	|ui	X
ejpam-4754	19	9	,	,	PUNCT
ejpam-4754	19	10	j	j	PROPN
ejpam-4754	19	11	−	−	PROPN
ejpam-4754	19	12	yi	yi	PROPN
ejpam-4754	19	13	,	,	PUNCT
ejpam-4754	19	14	j	j	PROPN
ejpam-4754	19	15	|+	|+	NOUN
ejpam-4754	19	16	β	β	X
ejpam-4754	19	17	2	2	NUM
ejpam-4754	19	18	(	(	PUNCT
ejpam-4754	19	19	2×	2×	NUM
ejpam-4754	19	20	s1	s1	PROPN
ejpam-4754	19	21	i	i	PROPN
ejpam-4754	19	22	,	,	PUNCT
ejpam-4754	19	23	j	j	PROPN
ejpam-4754	19	24	+	+	CCONJ
ejpam-4754	19	25	s2	s2	VERB
ejpam-4754	19	26	i	i	PROPN
ejpam-4754	19	27	,	,	PUNCT
ejpam-4754	19	28	j	j	PROPN
ejpam-4754	19	29	)	)	PUNCT
ejpam-4754	19	30	]	]	PUNCT
ejpam-4754	19	31	(	(	PUNCT
ejpam-4754	19	32	1	1	X
ejpam-4754	19	33	)	)	PUNCT
ejpam-4754	19	34	∗corresponding	∗corresponde	VERB
ejpam-4754	19	35	author	author	NOUN
ejpam-4754	19	36	.	.	PUNCT
ejpam-4754	20	1	doi	doi	NOUN
ejpam-4754	20	2	:	:	PUNCT
ejpam-4754	20	3	https://doi.org/10.29020/nybg.ejpam.v16i2.4754	https://doi.org/10.29020/nybg.ejpam.v16i2.4754	PROPN
ejpam-4754	20	4	email	email	NOUN
ejpam-4754	20	5	addresses	address	NOUN
ejpam-4754	20	6	:	:	PUNCT
ejpam-4754	20	7	basimah@uomosul.edu.iq	basimah@uomosul.edu.iq	PROPN
ejpam-4754	20	8	(	(	PUNCT
ejpam-4754	20	9	b.	b.	PROPN
ejpam-4754	20	10	a.	a.	PROPN
ejpam-4754	20	11	hassan	hassan	PROPN
ejpam-4754	20	12	)	)	PUNCT
ejpam-4754	20	13	,	,	PUNCT
ejpam-4754	20	14	aziz	aziz	PROPN
ejpam-4754	20	15	maysoon@uomosul.edu.iq	maysoon@uomosul.edu.iq	PROPN
ejpam-4754	20	16	(	(	PUNCT
ejpam-4754	20	17	m.	m.	PROPN
ejpam-4754	20	18	m.	m.	PROPN
ejpam-4754	20	19	aziz	aziz	PROPN
ejpam-4754	20	20	)	)	PUNCT
ejpam-4754	20	21	https://www.ejpam.com	https://www.ejpam.com	X
ejpam-4754	21	1	975	975	NUM
ejpam-4754	22	1	©	©	ADP
ejpam-4754	22	2	2023	2023	NUM
ejpam-4754	22	3	ejpam	ejpam	NOUN
ejpam-4754	22	4	all	all	DET
ejpam-4754	22	5	rights	right	NOUN
ejpam-4754	22	6	reserved	reserve	VERB
ejpam-4754	22	7	.	.	PUNCT
ejpam-4754	23	1	976	976	NUM
ejpam-4754	23	2	where	where	SCONJ
ejpam-4754	23	3	,	,	PUNCT
ejpam-4754	23	4	β	β	X
ejpam-4754	23	5	is	be	AUX
ejpam-4754	23	6	the	the	DET
ejpam-4754	23	7	regularization	regularization	NOUN
ejpam-4754	23	8	parameter	parameter	NOUN
ejpam-4754	23	9	,	,	PUNCT
ejpam-4754	23	10	and	and	CCONJ
ejpam-4754	23	11	:	:	PUNCT
ejpam-4754	23	12	s1	s1	PROPN
ejpam-4754	23	13	i	i	PROPN
ejpam-4754	23	14	,	,	PUNCT
ejpam-4754	23	15	j	j	PROPN
ejpam-4754	23	16	=	=	SYM
ejpam-4754	23	17	2	2	NUM
ejpam-4754	23	18	∑	∑	PUNCT
ejpam-4754	23	19	(	(	PUNCT
ejpam-4754	23	20	m	m	PROPN
ejpam-4754	23	21	,	,	PUNCT
ejpam-4754	23	22	n)∈pi	n)∈pi	PROPN
ejpam-4754	23	23	,	,	PUNCT
ejpam-4754	23	24	j∩nc	j∩nc	PROPN
ejpam-4754	23	25	φα(ui	φα(ui	PROPN
ejpam-4754	23	26	,	,	PUNCT
ejpam-4754	23	27	j	j	PROPN
ejpam-4754	23	28	−	−	PROPN
ejpam-4754	23	29	ym	ym	PROPN
ejpam-4754	23	30	,	,	PUNCT
ejpam-4754	23	31	n	n	CCONJ
ejpam-4754	23	32	)	)	PUNCT
ejpam-4754	23	33	,	,	PUNCT
ejpam-4754	23	34	s2	s2	VERB
ejpam-4754	23	35	i	i	PRON
ejpam-4754	23	36	,	,	PUNCT
ejpam-4754	23	37	j	j	PROPN
ejpam-4754	23	38	=	=	SYM
ejpam-4754	23	39	∑	∑	PUNCT
ejpam-4754	23	40	(	(	PUNCT
ejpam-4754	23	41	m	m	PROPN
ejpam-4754	23	42	,	,	PUNCT
ejpam-4754	23	43	n)∈pi	n)∈pi	PROPN
ejpam-4754	23	44	,	,	PUNCT
ejpam-4754	23	45	jn	jn	PROPN
ejpam-4754	23	46	φα(ui	φα(ui	PROPN
ejpam-4754	23	47	,	,	PUNCT
ejpam-4754	23	48	j	j	PROPN
ejpam-4754	23	49	−	−	PROPN
ejpam-4754	23	50	ym	ym	PROPN
ejpam-4754	23	51	,	,	PUNCT
ejpam-4754	23	52	n	n	CCONJ
ejpam-4754	23	53	)	)	PUNCT
ejpam-4754	23	54	and	and	CCONJ
ejpam-4754	23	55	the	the	DET
ejpam-4754	23	56	φα	φα	PROPN
ejpam-4754	23	57	=	=	SYM
ejpam-4754	23	58	√	√	PROPN
ejpam-4754	23	59	a+	a+	PUNCT
ejpam-4754	23	60	x2	x2	PROPN
ejpam-4754	23	61	,	,	PUNCT
ejpam-4754	23	62	α	α	PROPN
ejpam-4754	23	63	>	>	X
ejpam-4754	23	64	0	0	NUM
ejpam-4754	23	65	edge	edge	NOUN
ejpam-4754	23	66	-	-	PUNCT
ejpam-4754	23	67	preserving	preserve	VERB
ejpam-4754	23	68	potential	potential	ADJ
ejpam-4754	23	69	function	function	NOUN
ejpam-4754	23	70	is	be	AUX
ejpam-4754	23	71	an	an	DET
ejpam-4754	23	72	example	example	NOUN
ejpam-4754	23	73	of	of	ADP
ejpam-4754	23	74	a	a	DET
ejpam-4754	23	75	potential	potential	ADJ
ejpam-4754	23	76	function	function	NOUN
ejpam-4754	23	77	that	that	PRON
ejpam-4754	23	78	preserves	preserve	VERB
ejpam-4754	23	79	edges	edge	NOUN
ejpam-4754	23	80	in	in	ADP
ejpam-4754	23	81	an	an	DET
ejpam-4754	23	82	image	image	NOUN
ejpam-4754	23	83	.	.	PUNCT
ejpam-4754	24	1	it	it	PRON
ejpam-4754	24	2	is	be	AUX
ejpam-4754	24	3	used	use	VERB
ejpam-4754	24	4	to	to	PART
ejpam-4754	24	5	reduce	reduce	VERB
ejpam-4754	24	6	noise	noise	NOUN
ejpam-4754	24	7	and	and	CCONJ
ejpam-4754	24	8	enhance	enhance	VERB
ejpam-4754	24	9	the	the	DET
ejpam-4754	24	10	edges	edge	NOUN
ejpam-4754	24	11	of	of	ADP
ejpam-4754	24	12	an	an	DET
ejpam-4754	24	13	image	image	NOUN
ejpam-4754	24	14	,	,	PUNCT
ejpam-4754	24	15	making	make	VERB
ejpam-4754	24	16	it	it	PRON
ejpam-4754	24	17	easier	easy	ADJ
ejpam-4754	24	18	to	to	PART
ejpam-4754	24	19	identify	identify	VERB
ejpam-4754	24	20	features	feature	NOUN
ejpam-4754	24	21	.	.	PUNCT
ejpam-4754	25	1	optimization	optimization	NOUN
ejpam-4754	25	2	methods	method	NOUN
ejpam-4754	25	3	can	can	AUX
ejpam-4754	25	4	be	be	AUX
ejpam-4754	25	5	used	use	VERB
ejpam-4754	25	6	to	to	PART
ejpam-4754	25	7	minimize	minimize	VERB
ejpam-4754	25	8	a	a	DET
ejpam-4754	25	9	smooth	smooth	ADJ
ejpam-4754	25	10	edge	edge	NOUN
ejpam-4754	25	11	-	-	PUNCT
ejpam-4754	25	12	preserving	preserve	VERB
ejpam-4754	25	13	regularization	regularization	NOUN
ejpam-4754	25	14	(	(	PUNCT
ejpam-4754	25	15	epr	epr	ADJ
ejpam-4754	25	16	)	)	PUNCT
ejpam-4754	25	17	functional	functional	ADJ
ejpam-4754	25	18	.	.	PUNCT
ejpam-4754	26	1	it	it	PRON
ejpam-4754	26	2	is	be	AUX
ejpam-4754	26	3	noted	note	VERB
ejpam-4754	26	4	that	that	SCONJ
ejpam-4754	26	5	the	the	DET
ejpam-4754	26	6	non	non	ADJ
ejpam-4754	26	7	-	-	ADJ
ejpam-4754	26	8	smooth	smooth	ADJ
ejpam-4754	26	9	data	datum	NOUN
ejpam-4754	26	10	-	-	PUNCT
ejpam-4754	26	11	fitting	fit	VERB
ejpam-4754	26	12	term	term	NOUN
ejpam-4754	26	13	is	be	AUX
ejpam-4754	26	14	not	not	PART
ejpam-4754	26	15	needed	need	VERB
ejpam-4754	26	16	in	in	ADP
ejpam-4754	26	17	the	the	DET
ejpam-4754	26	18	second	second	ADJ
ejpam-4754	26	19	phase	phase	NOUN
ejpam-4754	26	20	,	,	PUNCT
ejpam-4754	26	21	where	where	SCONJ
ejpam-4754	26	22	only	only	ADV
ejpam-4754	26	23	noisy	noisy	ADJ
ejpam-4754	26	24	pixels	pixel	NOUN
ejpam-4754	26	25	are	be	AUX
ejpam-4754	26	26	restored	restore	VERB
ejpam-4754	26	27	:	:	PUNCT
ejpam-4754	26	28	fa(u	fa(u	X
ejpam-4754	26	29	)	)	PUNCT
ejpam-4754	27	1	=	=	PUNCT
ejpam-4754	27	2	∑	∑	PUNCT
ejpam-4754	27	3	(	(	PUNCT
ejpam-4754	27	4	i	i	PROPN
ejpam-4754	27	5	,	,	PUNCT
ejpam-4754	27	6	j)∈n	j)∈n	PROPN
ejpam-4754	27	7	[	[	PUNCT
ejpam-4754	27	8	(	(	PUNCT
ejpam-4754	27	9	2×	2×	NUM
ejpam-4754	27	10	s1	s1	PROPN
ejpam-4754	27	11	i	i	PROPN
ejpam-4754	27	12	,	,	PUNCT
ejpam-4754	27	13	j	j	PROPN
ejpam-4754	27	14	+	+	CCONJ
ejpam-4754	27	15	s2	s2	VERB
ejpam-4754	27	16	i	i	PRON
ejpam-4754	27	17	,	,	PUNCT
ejpam-4754	27	18	j	j	PROPN
ejpam-4754	27	19	]	]	X
ejpam-4754	27	20	(	(	PUNCT
ejpam-4754	27	21	2	2	X
ejpam-4754	27	22	)	)	PUNCT
ejpam-4754	27	23	referring	refer	VERB
ejpam-4754	27	24	to	to	ADP
ejpam-4754	27	25	[	[	X
ejpam-4754	27	26	14	14	NUM
ejpam-4754	27	27	]	]	PUNCT
ejpam-4754	27	28	of	of	ADP
ejpam-4754	27	29	additional	additional	ADJ
ejpam-4754	27	30	information	information	NOUN
ejpam-4754	27	31	.	.	PUNCT
ejpam-4754	28	1	conjugate	conjugate	ADJ
ejpam-4754	28	2	gradient	gradient	NOUN
ejpam-4754	28	3	method	method	NOUN
ejpam-4754	28	4	is	be	AUX
ejpam-4754	28	5	commonly	commonly	ADV
ejpam-4754	28	6	used	use	VERB
ejpam-4754	28	7	in	in	ADP
ejpam-4754	28	8	image	image	NOUN
ejpam-4754	28	9	restoration	restoration	NOUN
ejpam-4754	28	10	,	,	PUNCT
ejpam-4754	28	11	where	where	SCONJ
ejpam-4754	28	12	it	it	PRON
ejpam-4754	28	13	is	be	AUX
ejpam-4754	28	14	used	use	VERB
ejpam-4754	28	15	to	to	PART
ejpam-4754	28	16	minimize	minimize	VERB
ejpam-4754	28	17	a	a	DET
ejpam-4754	28	18	given	give	VERB
ejpam-4754	28	19	objective	objective	ADJ
ejpam-4754	28	20	function	function	NOUN
ejpam-4754	28	21	:	:	PUNCT
ejpam-4754	28	22	minf(x	minf(x	NOUN
ejpam-4754	28	23	)	)	PUNCT
ejpam-4754	28	24	,	,	PUNCT
ejpam-4754	28	25	u	u	PROPN
ejpam-4754	28	26	∈	∈	PROPN
ejpam-4754	28	27	rn	rn	PROPN
ejpam-4754	28	28	(	(	PUNCT
ejpam-4754	28	29	3	3	NUM
ejpam-4754	28	30	)	)	PUNCT
ejpam-4754	28	31	where	where	SCONJ
ejpam-4754	28	32	a	a	DET
ejpam-4754	28	33	function	function	NOUN
ejpam-4754	28	34	is	be	AUX
ejpam-4754	28	35	continuously	continuously	ADV
ejpam-4754	28	36	differentiable	differentiable	ADJ
ejpam-4754	28	37	.	.	PUNCT
ejpam-4754	29	1	the	the	DET
ejpam-4754	29	2	conjugate	conjugate	ADJ
ejpam-4754	29	3	gradient	gradient	NOUN
ejpam-4754	29	4	method	method	NOUN
ejpam-4754	29	5	works	work	VERB
ejpam-4754	29	6	by	by	ADP
ejpam-4754	29	7	taking	take	VERB
ejpam-4754	29	8	a	a	DET
ejpam-4754	29	9	starting	starting	NOUN
ejpam-4754	29	10	point	point	NOUN
ejpam-4754	29	11	and	and	CCONJ
ejpam-4754	29	12	then	then	ADV
ejpam-4754	29	13	iteratively	iteratively	ADV
ejpam-4754	29	14	improving	improve	VERB
ejpam-4754	29	15	the	the	DET
ejpam-4754	29	16	solution	solution	NOUN
ejpam-4754	29	17	:	:	PUNCT
ejpam-4754	29	18	uk+1	uk+1	X
ejpam-4754	29	19	=	=	PUNCT
ejpam-4754	29	20	uk	uk	PROPN
ejpam-4754	29	21	+	+	CCONJ
ejpam-4754	29	22	αkdk	αkdk	NOUN
ejpam-4754	29	23	(	(	PUNCT
ejpam-4754	29	24	4	4	NUM
ejpam-4754	29	25	)	)	PUNCT
ejpam-4754	29	26	until	until	SCONJ
ejpam-4754	29	27	it	it	PRON
ejpam-4754	29	28	converges	converge	VERB
ejpam-4754	29	29	to	to	ADP
ejpam-4754	29	30	the	the	DET
ejpam-4754	29	31	optimal	optimal	ADJ
ejpam-4754	29	32	solution	solution	NOUN
ejpam-4754	29	33	,	,	PUNCT
ejpam-4754	29	34	a	a	DET
ejpam-4754	29	35	search	search	NOUN
ejpam-4754	29	36	direction	direction	NOUN
ejpam-4754	29	37	dk	dk	NOUN
ejpam-4754	29	38	and	and	CCONJ
ejpam-4754	29	39	exact	exact	ADJ
ejpam-4754	29	40	step	step	NOUN
ejpam-4754	29	41	size	size	NOUN
ejpam-4754	29	42	αk	αk	NOUN
ejpam-4754	29	43	can	can	AUX
ejpam-4754	29	44	be	be	AUX
ejpam-4754	29	45	used	use	VERB
ejpam-4754	29	46	to	to	PART
ejpam-4754	29	47	optimize	optimize	VERB
ejpam-4754	29	48	the	the	DET
ejpam-4754	29	49	quadratic	quadratic	ADJ
ejpam-4754	29	50	case	case	NOUN
ejpam-4754	29	51	.	.	PUNCT
ejpam-4754	30	1	these	these	DET
ejpam-4754	30	2	two	two	NUM
ejpam-4754	30	3	elements	element	NOUN
ejpam-4754	30	4	are	be	AUX
ejpam-4754	30	5	essential	essential	ADJ
ejpam-4754	30	6	for	for	ADP
ejpam-4754	30	7	achieving	achieve	VERB
ejpam-4754	30	8	the	the	DET
ejpam-4754	30	9	best	good	ADJ
ejpam-4754	30	10	possible	possible	ADJ
ejpam-4754	30	11	results	result	NOUN
ejpam-4754	30	12	:	:	PUNCT
ejpam-4754	30	13	αk	αk	SCONJ
ejpam-4754	30	14	=	=	SYM
ejpam-4754	30	15	−gtk	−gtk	NOUN
ejpam-4754	30	16	dk	dk	PROPN
ejpam-4754	30	17	dtkqdk	dtkqdk	NOUN
ejpam-4754	30	18	.	.	PUNCT
ejpam-4754	31	1	(	(	PUNCT
ejpam-4754	31	2	5	5	X
ejpam-4754	31	3	)	)	PUNCT
ejpam-4754	31	4	in	in	ADP
ejpam-4754	31	5	order	order	NOUN
ejpam-4754	31	6	to	to	PART
ejpam-4754	31	7	solve	solve	VERB
ejpam-4754	31	8	for	for	ADP
ejpam-4754	31	9	general	general	ADJ
ejpam-4754	31	10	nonlinear	nonlinear	ADJ
ejpam-4754	31	11	functions	function	NOUN
ejpam-4754	31	12	,	,	PUNCT
ejpam-4754	31	13	an	an	DET
ejpam-4754	31	14	iterative	iterative	NOUN
ejpam-4754	31	15	procedure	procedure	NOUN
ejpam-4754	31	16	must	must	AUX
ejpam-4754	31	17	be	be	AUX
ejpam-4754	31	18	used	use	VERB
ejpam-4754	31	19	[	[	PUNCT
ejpam-4754	31	20	11	11	NUM
ejpam-4754	31	21	]	]	PUNCT
ejpam-4754	31	22	.	.	PUNCT
ejpam-4754	32	1	the	the	DET
ejpam-4754	32	2	wolfe	wolfe	PROPN
ejpam-4754	32	3	conditions	condition	NOUN
ejpam-4754	32	4	are	be	AUX
ejpam-4754	32	5	a	a	DET
ejpam-4754	32	6	set	set	NOUN
ejpam-4754	32	7	of	of	ADP
ejpam-4754	32	8	criteria	criterion	NOUN
ejpam-4754	32	9	used	use	VERB
ejpam-4754	32	10	to	to	PART
ejpam-4754	32	11	determine	determine	VERB
ejpam-4754	32	12	the	the	DET
ejpam-4754	32	13	step	step	NOUN
ejpam-4754	32	14	length	length	NOUN
ejpam-4754	32	15	in	in	ADP
ejpam-4754	32	16	a	a	DET
ejpam-4754	32	17	given	give	VERB
ejpam-4754	32	18	work	work	NOUN
ejpam-4754	32	19	:	:	PUNCT
ejpam-4754	32	20	f(uk	f(uk	PROPN
ejpam-4754	32	21	+	+	NUM
ejpam-4754	32	22	αkdk	αkdk	NOUN
ejpam-4754	32	23	)	)	PUNCT
ejpam-4754	32	24	≤	≤	PROPN
ejpam-4754	32	25	f(uk	f(uk	PROPN
ejpam-4754	32	26	)	)	PUNCT
ejpam-4754	32	27	+	+	CCONJ
ejpam-4754	32	28	δαkg	δαkg	NOUN
ejpam-4754	32	29	t	t	PROPN
ejpam-4754	32	30	k	k	PROPN
ejpam-4754	32	31	dk	dk	PROPN
ejpam-4754	32	32	(	(	PUNCT
ejpam-4754	32	33	6	6	NUM
ejpam-4754	32	34	)	)	PUNCT
ejpam-4754	32	35	dtk	dtk	PROPN
ejpam-4754	32	36	g(uk	g(uk	PROPN
ejpam-4754	32	37	+	+	CCONJ
ejpam-4754	32	38	akdk	akdk	NOUN
ejpam-4754	32	39	)	)	PUNCT
ejpam-4754	32	40	≥	≥	NOUN
ejpam-4754	32	41	σdtk	σdtk	NOUN
ejpam-4754	32	42	gk	gk	PROPN
ejpam-4754	32	43	(	(	PUNCT
ejpam-4754	32	44	7	7	NUM
ejpam-4754	32	45	)	)	PUNCT
ejpam-4754	32	46	where	where	SCONJ
ejpam-4754	32	47	0	0	NUM
ejpam-4754	32	48	<	<	X
ejpam-4754	32	49	δ	δ	X
ejpam-4754	32	50	<	<	X
ejpam-4754	32	51	σ	σ	X
ejpam-4754	32	52	<	<	X
ejpam-4754	32	53	1	1	NUM
ejpam-4754	32	54	.	.	PUNCT
ejpam-4754	32	55	additional	additional	ADJ
ejpam-4754	32	56	information	information	NOUN
ejpam-4754	32	57	.	.	PUNCT
ejpam-4754	33	1	the	the	DET
ejpam-4754	33	2	following	follow	VERB
ejpam-4754	33	3	is	be	AUX
ejpam-4754	33	4	the	the	DET
ejpam-4754	33	5	search	search	NOUN
ejpam-4754	33	6	direction	direction	NOUN
ejpam-4754	33	7	equation	equation	NOUN
ejpam-4754	33	8	:	:	PUNCT
ejpam-4754	33	9	dk+1	dk+1	NOUN
ejpam-4754	33	10	=	=	SYM
ejpam-4754	33	11	−gk+1	−gk+1	PROPN
ejpam-4754	33	12	+	+	CCONJ
ejpam-4754	33	13	βkdk	βkdk	NOUN
ejpam-4754	33	14	(	(	PUNCT
ejpam-4754	33	15	8)	8)	NUM
ejpam-4754	33	16	where	where	SCONJ
ejpam-4754	33	17	the	the	DET
ejpam-4754	33	18	coefficient	coefficient	NOUN
ejpam-4754	33	19	βk	βk	NOUN
ejpam-4754	33	20	is	be	AUX
ejpam-4754	33	21	selected	select	VERB
ejpam-4754	33	22	in	in	ADP
ejpam-4754	33	23	such	such	DET
ejpam-4754	33	24	a	a	DET
ejpam-4754	33	25	way	way	NOUN
ejpam-4754	33	26	that	that	PRON
ejpam-4754	33	27	and	and	CCONJ
ejpam-4754	33	28	must	must	AUX
ejpam-4754	33	29	satisfy	satisfy	VERB
ejpam-4754	33	30	the	the	DET
ejpam-4754	33	31	conjugacy	conjugacy	PROPN
ejpam-4754	33	32	property	property	NOUN
ejpam-4754	33	33	.	.	PUNCT
ejpam-4754	34	1	fletcher	fletcher	PROPN
ejpam-4754	34	2	and	and	CCONJ
ejpam-4754	34	3	reeves	reeves	PROPN
ejpam-4754	34	4	(	(	PUNCT
ejpam-4754	34	5	fr	fr	PROPN
ejpam-4754	34	6	)	)	PUNCT
ejpam-4754	35	1	[	[	X
ejpam-4754	35	2	2	2	X
ejpam-4754	35	3	]	]	PUNCT
ejpam-4754	35	4	and	and	CCONJ
ejpam-4754	35	5	dai	dai	PROPN
ejpam-4754	35	6	and	and	CCONJ
ejpam-4754	35	7	yuan	yuan	PROPN
ejpam-4754	35	8	(	(	PUNCT
ejpam-4754	35	9	dy	dy	X
ejpam-4754	35	10	)	)	PUNCT
ejpam-4754	36	1	[	[	X
ejpam-4754	36	2	1	1	NUM
ejpam-4754	36	3	]	]	PUNCT
ejpam-4754	36	4	are	be	AUX
ejpam-4754	36	5	two	two	NUM
ejpam-4754	36	6	well	well	ADV
ejpam-4754	36	7	-	-	PUNCT
ejpam-4754	36	8	known	know	VERB
ejpam-4754	36	9	βk	βk	NOUN
ejpam-4754	36	10	that	that	PRON
ejpam-4754	36	11	are	be	AUX
ejpam-4754	36	12	thought	think	VERB
ejpam-4754	36	13	to	to	PART
ejpam-4754	36	14	be	be	AUX
ejpam-4754	36	15	the	the	DET
ejpam-4754	36	16	most	most	ADV
ejpam-4754	36	17	effective	effective	ADJ
ejpam-4754	36	18	approaches	approach	NOUN
ejpam-4754	36	19	,	,	PUNCT
ejpam-4754	36	20	as	as	SCONJ
ejpam-4754	36	21	stated	state	VERB
ejpam-4754	36	22	by	by	ADP
ejpam-4754	36	23	:	:	PUNCT
ejpam-4754	36	24	βfr	βfr	PROPN
ejpam-4754	36	25	k	k	NOUN
ejpam-4754	36	26	=	=	SYM
ejpam-4754	36	27	gtk+1gk+1	gtk+1gk+1	NOUN
ejpam-4754	36	28	gtk	gtk	NOUN
ejpam-4754	36	29	gk	gk	PROPN
ejpam-4754	36	30	,	,	PUNCT
ejpam-4754	36	31	βdy	βdy	NOUN
ejpam-4754	36	32	k	k	PROPN
ejpam-4754	36	33	=	=	PROPN
ejpam-4754	36	34	gtk+1gk+1	gtk+1gk+1	PROPN
ejpam-4754	36	35	dtk	dtk	PROPN
ejpam-4754	36	36	yk	yk	PROPN
ejpam-4754	36	37	(	(	PUNCT
ejpam-4754	36	38	9	9	NUM
ejpam-4754	36	39	)	)	PUNCT
ejpam-4754	36	40	977	977	NUM
ejpam-4754	36	41	alternatively	alternatively	ADV
ejpam-4754	36	42	,	,	PUNCT
ejpam-4754	36	43	by	by	ADP
ejpam-4754	36	44	other	other	ADJ
ejpam-4754	36	45	equations	equation	NOUN
ejpam-4754	36	46	(	(	PUNCT
ejpam-4754	36	47	see	see	VERB
ejpam-4754	36	48	,	,	PUNCT
ejpam-4754	36	49	for	for	ADP
ejpam-4754	36	50	example	example	NOUN
ejpam-4754	36	51	,	,	PUNCT
ejpam-4754	36	52	[	[	X
ejpam-4754	36	53	3],[10	3],[10	X
ejpam-4754	36	54	]	]	X
ejpam-4754	36	55	,	,	PUNCT
ejpam-4754	36	56	[	[	X
ejpam-4754	36	57	12	12	NUM
ejpam-4754	36	58	]	]	PUNCT
ejpam-4754	36	59	,	,	PUNCT
ejpam-4754	36	60	[	[	X
ejpam-4754	36	61	13	13	NUM
ejpam-4754	36	62	]	]	PUNCT
ejpam-4754	36	63	.	.	PUNCT
ejpam-4754	37	1	some	some	DET
ejpam-4754	37	2	computergenerated	computergenerate	VERB
ejpam-4754	37	3	imagery	imagery	NOUN
ejpam-4754	37	4	conjugate	conjugate	ADJ
ejpam-4754	37	5	gradient	gradient	NOUN
ejpam-4754	37	6	approaches	approach	NOUN
ejpam-4754	37	7	are	be	AUX
ejpam-4754	37	8	numerically	numerically	ADV
ejpam-4754	37	9	efficient	efficient	ADJ
ejpam-4754	37	10	,	,	PUNCT
ejpam-4754	37	11	while	while	SCONJ
ejpam-4754	37	12	others	other	NOUN
ejpam-4754	37	13	are	be	AUX
ejpam-4754	37	14	conceptually	conceptually	ADV
ejpam-4754	37	15	efficient	efficient	ADJ
ejpam-4754	37	16	.	.	PUNCT
ejpam-4754	38	1	all	all	PRON
ejpam-4754	38	2	of	of	ADP
ejpam-4754	38	3	these	these	DET
ejpam-4754	38	4	strategies	strategy	NOUN
ejpam-4754	38	5	are	be	AUX
ejpam-4754	38	6	equivalent	equivalent	ADJ
ejpam-4754	38	7	if	if	SCONJ
ejpam-4754	38	8	the	the	DET
ejpam-4754	38	9	objective	objective	ADJ
ejpam-4754	38	10	function	function	NOUN
ejpam-4754	38	11	is	be	AUX
ejpam-4754	38	12	strictly	strictly	ADV
ejpam-4754	38	13	convex	convex	ADJ
ejpam-4754	38	14	quadratic	quadratic	NOUN
ejpam-4754	38	15	.	.	PUNCT
ejpam-4754	39	1	when	when	SCONJ
ejpam-4754	39	2	applied	apply	VERB
ejpam-4754	39	3	to	to	ADP
ejpam-4754	39	4	generic	generic	ADJ
ejpam-4754	39	5	non	non	ADJ
ejpam-4754	39	6	-	-	ADJ
ejpam-4754	39	7	quadratic	quadratic	ADJ
ejpam-4754	39	8	functions	function	NOUN
ejpam-4754	39	9	,	,	PUNCT
ejpam-4754	39	10	they	they	PRON
ejpam-4754	39	11	behave	behave	VERB
ejpam-4754	39	12	differently	differently	ADV
ejpam-4754	39	13	,	,	PUNCT
ejpam-4754	39	14	as	as	SCONJ
ejpam-4754	39	15	shown	show	VERB
ejpam-4754	39	16	in	in	ADP
ejpam-4754	39	17	[	[	X
ejpam-4754	39	18	4	4	NUM
ejpam-4754	39	19	]	]	PUNCT
ejpam-4754	39	20	.	.	PUNCT
ejpam-4754	40	1	the	the	DET
ejpam-4754	40	2	conjugate	conjugate	ADJ
ejpam-4754	40	3	gradient	gradient	NOUN
ejpam-4754	40	4	approach	approach	NOUN
ejpam-4754	40	5	was	be	AUX
ejpam-4754	40	6	later	later	ADV
ejpam-4754	40	7	extended	extend	VERB
ejpam-4754	40	8	to	to	ADP
ejpam-4754	40	9	larger	large	ADJ
ejpam-4754	40	10	unconstrained	unconstrained	ADJ
ejpam-4754	40	11	optimization	optimization	NOUN
ejpam-4754	40	12	problems	problem	NOUN
ejpam-4754	40	13	in	in	ADP
ejpam-4754	40	14	formula	formula	NOUN
ejpam-4754	40	15	[	[	X
ejpam-4754	40	16	2	2	NUM
ejpam-4754	40	17	]	]	PUNCT
ejpam-4754	40	18	.	.	PUNCT
ejpam-4754	41	1	conjugate	conjugate	ADJ
ejpam-4754	41	2	gradient	gradient	ADJ
ejpam-4754	41	3	approaches	approach	NOUN
ejpam-4754	41	4	are	be	AUX
ejpam-4754	41	5	now	now	ADV
ejpam-4754	41	6	recognized	recognize	VERB
ejpam-4754	41	7	as	as	ADP
ejpam-4754	41	8	being	be	AUX
ejpam-4754	41	9	particularly	particularly	ADV
ejpam-4754	41	10	useful	useful	ADJ
ejpam-4754	41	11	for	for	ADP
ejpam-4754	41	12	dealing	deal	VERB
ejpam-4754	41	13	with	with	ADP
ejpam-4754	41	14	large	large	ADJ
ejpam-4754	41	15	-	-	PUNCT
ejpam-4754	41	16	scale	scale	NOUN
ejpam-4754	41	17	unconstrained	unconstrained	ADJ
ejpam-4754	41	18	optimization	optimization	NOUN
ejpam-4754	41	19	problems	problem	NOUN
ejpam-4754	41	20	since	since	SCONJ
ejpam-4754	41	21	they	they	PRON
ejpam-4754	41	22	do	do	AUX
ejpam-4754	41	23	not	not	PART
ejpam-4754	41	24	require	require	VERB
ejpam-4754	41	25	the	the	DET
ejpam-4754	41	26	storing	storing	NOUN
ejpam-4754	41	27	of	of	ADP
ejpam-4754	41	28	matrices	matrix	NOUN
ejpam-4754	41	29	.	.	PUNCT
ejpam-4754	42	1	many	many	ADJ
ejpam-4754	42	2	conjugate	conjugate	ADJ
ejpam-4754	42	3	gradient	gradient	NOUN
ejpam-4754	42	4	techniques	technique	NOUN
ejpam-4754	42	5	have	have	AUX
ejpam-4754	42	6	lately	lately	ADV
ejpam-4754	42	7	been	be	AUX
ejpam-4754	42	8	proposed	propose	VERB
ejpam-4754	42	9	that	that	PRON
ejpam-4754	42	10	offer	offer	VERB
ejpam-4754	42	11	both	both	PRON
ejpam-4754	42	12	strong	strong	ADJ
ejpam-4754	42	13	global	global	ADJ
ejpam-4754	42	14	convergence	convergence	NOUN
ejpam-4754	42	15	properties	property	NOUN
ejpam-4754	42	16	and	and	CCONJ
ejpam-4754	42	17	good	good	ADJ
ejpam-4754	42	18	numerical	numerical	ADJ
ejpam-4754	42	19	performance	performance	NOUN
ejpam-4754	42	20	.	.	PUNCT
ejpam-4754	43	1	these	these	DET
ejpam-4754	43	2	approaches	approach	NOUN
ejpam-4754	43	3	are	be	AUX
ejpam-4754	43	4	based	base	VERB
ejpam-4754	43	5	on	on	ADP
ejpam-4754	43	6	the	the	DET
ejpam-4754	43	7	conjugacy	conjugacy	ADJ
ejpam-4754	43	8	requirement	requirement	NOUN
ejpam-4754	43	9	of	of	ADP
ejpam-4754	43	10	multiple	multiple	ADJ
ejpam-4754	43	11	conjugate	conjugate	ADJ
ejpam-4754	43	12	gradient	gradient	NOUN
ejpam-4754	43	13	parameters	parameter	NOUN
ejpam-4754	43	14	see	see	VERB
ejpam-4754	43	15	,	,	PUNCT
ejpam-4754	43	16	[	[	X
ejpam-4754	43	17	7	7	NUM
ejpam-4754	43	18	]	]	PUNCT
ejpam-4754	43	19	,	,	PUNCT
ejpam-4754	44	1	[	[	X
ejpam-4754	44	2	9	9	NUM
ejpam-4754	44	3	]	]	PUNCT
ejpam-4754	44	4	,	,	PUNCT
ejpam-4754	44	5	[	[	X
ejpam-4754	44	6	8	8	NUM
ejpam-4754	44	7	]	]	PUNCT
ejpam-4754	44	8	,	,	PUNCT
ejpam-4754	44	9	[	[	X
ejpam-4754	44	10	6	6	NUM
ejpam-4754	44	11	]	]	PUNCT
ejpam-4754	44	12	.	.	PUNCT
ejpam-4754	45	1	previous	previous	ADJ
ejpam-4754	45	2	conjugate	conjugate	ADJ
ejpam-4754	45	3	gradient	gradient	NOUN
ejpam-4754	45	4	algorithms	algorithm	NOUN
ejpam-4754	45	5	made	make	VERB
ejpam-4754	45	6	advantage	advantage	NOUN
ejpam-4754	45	7	of	of	ADP
ejpam-4754	45	8	the	the	DET
ejpam-4754	45	9	conjugacy	conjugacy	PROPN
ejpam-4754	45	10	requirement	requirement	NOUN
ejpam-4754	45	11	:	:	PUNCT
ejpam-4754	45	12	dtk+1qdk	dtk+1qdk	PROPN
ejpam-4754	45	13	=	=	PUNCT
ejpam-4754	45	14	0	0	PROPN
ejpam-4754	45	15	.	.	PUNCT
ejpam-4754	46	1	(	(	PUNCT
ejpam-4754	46	2	10	10	NUM
ejpam-4754	46	3	)	)	PUNCT
ejpam-4754	46	4	this	this	PRON
ejpam-4754	46	5	is	be	AUX
ejpam-4754	46	6	essential	essential	ADJ
ejpam-4754	46	7	for	for	ADP
ejpam-4754	46	8	the	the	DET
ejpam-4754	46	9	mathematical	mathematical	ADJ
ejpam-4754	46	10	experiment	experiment	NOUN
ejpam-4754	46	11	and	and	CCONJ
ejpam-4754	46	12	the	the	DET
ejpam-4754	46	13	convergence	convergence	NOUN
ejpam-4754	46	14	analysis	analysis	NOUN
ejpam-4754	46	15	[	[	X
ejpam-4754	46	16	8	8	NUM
ejpam-4754	46	17	]	]	PUNCT
ejpam-4754	46	18	.	.	PUNCT
ejpam-4754	47	1	based	base	VERB
ejpam-4754	47	2	on	on	ADP
ejpam-4754	47	3	the	the	DET
ejpam-4754	47	4	quadratic	quadratic	ADJ
ejpam-4754	47	5	function	function	NOUN
ejpam-4754	47	6	,	,	PUNCT
ejpam-4754	47	7	a	a	DET
ejpam-4754	47	8	novel	novel	ADJ
ejpam-4754	47	9	conjugate	conjugate	ADJ
ejpam-4754	47	10	gradient	gradient	NOUN
ejpam-4754	47	11	method	method	NOUN
ejpam-4754	47	12	was	be	AUX
ejpam-4754	47	13	developed	develop	VERB
ejpam-4754	47	14	,	,	PUNCT
ejpam-4754	47	15	rationalized	rationalize	VERB
ejpam-4754	47	16	,	,	PUNCT
ejpam-4754	47	17	and	and	CCONJ
ejpam-4754	47	18	studied	study	VERB
ejpam-4754	47	19	.	.	PUNCT
ejpam-4754	48	1	numerical	numerical	PROPN
ejpam-4754	48	2	studies	studies	PROPN
ejpam-4754	48	3	demonstrated	demonstrate	VERB
ejpam-4754	48	4	that	that	SCONJ
ejpam-4754	48	5	the	the	DET
ejpam-4754	48	6	suggested	suggest	VERB
ejpam-4754	48	7	technique	technique	NOUN
ejpam-4754	48	8	outperformed	outperform	VERB
ejpam-4754	48	9	other	other	ADJ
ejpam-4754	48	10	conjugate	conjugate	ADJ
ejpam-4754	48	11	gradient	gradient	ADJ
ejpam-4754	48	12	methods	method	NOUN
ejpam-4754	48	13	.	.	PUNCT
ejpam-4754	49	1	2	2	X
ejpam-4754	49	2	.	.	X
ejpam-4754	49	3	modification	modification	NOUN
ejpam-4754	49	4	of	of	ADP
ejpam-4754	49	5	coefficients	coefficient	NOUN
ejpam-4754	49	6	conjugate	conjugate	VERB
ejpam-4754	49	7	gradient	gradient	NOUN
ejpam-4754	49	8	we	we	PRON
ejpam-4754	49	9	utilizes	utilize	VERB
ejpam-4754	49	10	the	the	DET
ejpam-4754	49	11	quadratic	quadratic	ADJ
ejpam-4754	49	12	model	model	NOUN
ejpam-4754	49	13	to	to	PART
ejpam-4754	49	14	derivation	derivation	VERB
ejpam-4754	49	15	the	the	DET
ejpam-4754	49	16	new	new	ADJ
ejpam-4754	49	17	coefficients	coefficient	NOUN
ejpam-4754	49	18	conjugate	conjugate	VERB
ejpam-4754	49	19	gradient	gradient	NOUN
ejpam-4754	49	20	:	:	PUNCT
ejpam-4754	49	21	fk+1	fk+1	NOUN
ejpam-4754	49	22	=	=	SYM
ejpam-4754	49	23	fk	fk	NOUN
ejpam-4754	49	24	+	+	NOUN
ejpam-4754	49	25	stk	stk	PROPN
ejpam-4754	49	26	gk	gk	PROPN
ejpam-4754	49	27	+	+	NOUN
ejpam-4754	49	28	1	1	NUM
ejpam-4754	49	29	2	2	NUM
ejpam-4754	49	30	stkq(uk)sk	stkq(uk)sk	PROPN
ejpam-4754	49	31	(	(	PUNCT
ejpam-4754	49	32	11	11	NUM
ejpam-4754	49	33	)	)	PUNCT
ejpam-4754	49	34	where	where	SCONJ
ejpam-4754	49	35	q(uk	q(uk	NOUN
ejpam-4754	49	36	)	)	PUNCT
ejpam-4754	49	37	is	be	AUX
ejpam-4754	49	38	the	the	DET
ejpam-4754	49	39	hessian	hessian	ADJ
ejpam-4754	49	40	matrix	matrix	NOUN
ejpam-4754	49	41	.	.	PUNCT
ejpam-4754	50	1	taking	take	VERB
ejpam-4754	50	2	the	the	DET
ejpam-4754	50	3	derivative	derivative	NOUN
ejpam-4754	50	4	of	of	ADP
ejpam-4754	50	5	(	(	PUNCT
ejpam-4754	50	6	11	11	NUM
ejpam-4754	50	7	)	)	PUNCT
ejpam-4754	50	8	on	on	ADP
ejpam-4754	50	9	both	both	DET
ejpam-4754	50	10	sides	side	NOUN
ejpam-4754	50	11	for	for	ADP
ejpam-4754	50	12	sk	sk	NOUN
ejpam-4754	50	13	,	,	PUNCT
ejpam-4754	50	14	we	we	PRON
ejpam-4754	50	15	get	get	VERB
ejpam-4754	50	16	:	:	PUNCT
ejpam-4754	50	17	∇fk+1	∇fk+1	PROPN
ejpam-4754	50	18	=	=	PUNCT
ejpam-4754	50	19	gk	gk	PROPN
ejpam-4754	51	1	+	+	PROPN
ejpam-4754	51	2	q(uk)sk	q(uk)sk	NOUN
ejpam-4754	51	3	(	(	PUNCT
ejpam-4754	51	4	12	12	NUM
ejpam-4754	51	5	)	)	PUNCT
ejpam-4754	51	6	by	by	ADP
ejpam-4754	51	7	combining	combine	VERB
ejpam-4754	51	8	5	5	NUM
ejpam-4754	51	9	and	and	CCONJ
ejpam-4754	51	10	12	12	NUM
ejpam-4754	51	11	in	in	ADP
ejpam-4754	51	12	11	11	NUM
ejpam-4754	51	13	,	,	PUNCT
ejpam-4754	51	14	we	we	PRON
ejpam-4754	51	15	get	get	VERB
ejpam-4754	51	16	:	:	PUNCT
ejpam-4754	51	17	stkq(uk)sk	stkq(uk)sk	PROPN
ejpam-4754	51	18	=	=	SYM
ejpam-4754	51	19	fk	fk	INTJ
ejpam-4754	51	20	−	−	NOUN
ejpam-4754	51	21	fk+1	fk+1	NOUN
ejpam-4754	51	22	+	+	CCONJ
ejpam-4754	51	23	1	1	NUM
ejpam-4754	51	24	2	2	NUM
ejpam-4754	51	25	stk	stk	PROPN
ejpam-4754	51	26	yk	yk	PROPN
ejpam-4754	51	27	(	(	PUNCT
ejpam-4754	51	28	13	13	NUM
ejpam-4754	51	29	)	)	PUNCT
ejpam-4754	51	30	we	we	PRON
ejpam-4754	51	31	may	may	AUX
ejpam-4754	51	32	express	express	VERB
ejpam-4754	51	33	the	the	DET
ejpam-4754	51	34	equation	equation	NOUN
ejpam-4754	51	35	13	13	NUM
ejpam-4754	51	36	using	use	VERB
ejpam-4754	51	37	3	3	NUM
ejpam-4754	51	38	as	as	SCONJ
ejpam-4754	51	39	follows	follow	VERB
ejpam-4754	51	40	:	:	PUNCT
ejpam-4754	51	41	stkq(xk)sk	stkq(xk)sk	PROPN
ejpam-4754	51	42	=	=	SYM
ejpam-4754	51	43	2	2	NUM
ejpam-4754	51	44	(	(	PUNCT
ejpam-4754	51	45	gtk	gtk	NOUN
ejpam-4754	51	46	sk	sk	VERB
ejpam-4754	51	47	)	)	PUNCT
ejpam-4754	51	48	2	2	NUM
ejpam-4754	51	49	(	(	PUNCT
ejpam-4754	51	50	stk	stk	PROPN
ejpam-4754	51	51	yk	yk	PROPN
ejpam-4754	51	52	+	+	CCONJ
ejpam-4754	51	53	2(fk	2(fk	NUM
ejpam-4754	51	54	−	−	NOUN
ejpam-4754	51	55	fk+1	fk+1	NOUN
ejpam-4754	51	56	)	)	PUNCT
ejpam-4754	51	57	)	)	PUNCT
ejpam-4754	51	58	.	.	PUNCT
ejpam-4754	52	1	(	(	PUNCT
ejpam-4754	52	2	14	14	NUM
ejpam-4754	52	3	)	)	PUNCT
ejpam-4754	52	4	the	the	DET
ejpam-4754	52	5	conjugacy	conjugacy	ADJ
ejpam-4754	52	6	condition	condition	NOUN
ejpam-4754	52	7	,	,	PUNCT
ejpam-4754	52	8	yields	yield	NOUN
ejpam-4754	52	9	:	:	PUNCT
ejpam-4754	52	10	dtk+1qsk	dtk+1qsk	PROPN
ejpam-4754	52	11	=	=	SYM
ejpam-4754	52	12	0	0	PUNCT
ejpam-4754	52	13	(	(	PUNCT
ejpam-4754	52	14	15	15	NUM
ejpam-4754	52	15	)	)	PUNCT
ejpam-4754	52	16	from	from	ADP
ejpam-4754	52	17	14	14	NUM
ejpam-4754	52	18	through	through	ADP
ejpam-4754	52	19	15	15	NUM
ejpam-4754	52	20	,	,	PUNCT
ejpam-4754	52	21	and	and	CCONJ
ejpam-4754	52	22	after	after	ADP
ejpam-4754	52	23	some	some	DET
ejpam-4754	52	24	algebra	algebra	NOUN
ejpam-4754	52	25	,	,	PUNCT
ejpam-4754	52	26	we	we	PRON
ejpam-4754	52	27	get	get	VERB
ejpam-4754	52	28	:	:	PUNCT
ejpam-4754	52	29	βk	βk	ADP
ejpam-4754	52	30	=	=	SYM
ejpam-4754	52	31	2	2	NUM
ejpam-4754	52	32	(	(	PUNCT
ejpam-4754	52	33	gtk	gtk	NOUN
ejpam-4754	52	34	sk	sk	VERB
ejpam-4754	52	35	)	)	PUNCT
ejpam-4754	52	36	2	2	NUM
ejpam-4754	53	1	stk	stk	X
ejpam-4754	53	2	yk(s	yk(s	NUM
ejpam-4754	53	3	t	t	PROPN
ejpam-4754	53	4	k	k	PROPN
ejpam-4754	53	5	yk+2(fk−fk+1	yk+2(fk−fk+1	NOUN
ejpam-4754	53	6	)	)	PUNCT
ejpam-4754	53	7	)	)	PUNCT
ejpam-4754	54	1	gtk+1yk	gtk+1yk	PROPN
ejpam-4754	54	2	dtk	dtk	PROPN
ejpam-4754	54	3	yk	yk	PROPN
ejpam-4754	54	4	(	(	PUNCT
ejpam-4754	54	5	16	16	NUM
ejpam-4754	54	6	)	)	PUNCT
ejpam-4754	54	7	978	978	NUM
ejpam-4754	54	8	if	if	SCONJ
ejpam-4754	54	9	exact	exact	ADJ
ejpam-4754	54	10	line	line	NOUN
ejpam-4754	54	11	search	search	NOUN
ejpam-4754	54	12	is	be	AUX
ejpam-4754	54	13	utilized	utilize	VERB
ejpam-4754	54	14	in	in	ADP
ejpam-4754	54	15	16	16	NUM
ejpam-4754	54	16	,	,	PUNCT
ejpam-4754	54	17	then	then	ADV
ejpam-4754	54	18	βk	βk	NOUN
ejpam-4754	54	19	is	be	AUX
ejpam-4754	54	20	such	such	ADJ
ejpam-4754	54	21	that	that	SCONJ
ejpam-4754	54	22	:	:	PUNCT
ejpam-4754	54	23	βbe1	βbe1	PROPN
ejpam-4754	54	24	k	k	PROPN
ejpam-4754	55	1	=	=	SYM
ejpam-4754	55	2	2	2	X
ejpam-4754	55	3	(	(	PUNCT
ejpam-4754	55	4	gtk	gtk	NOUN
ejpam-4754	55	5	sk	sk	VERB
ejpam-4754	55	6	)	)	PUNCT
ejpam-4754	55	7	2	2	NUM
ejpam-4754	55	8	stk	stk	X
ejpam-4754	55	9	yk(s	yk(s	NUM
ejpam-4754	55	10	t	t	PROPN
ejpam-4754	55	11	k	k	PROPN
ejpam-4754	55	12	yk+2(fk−fk+1	yk+2(fk−fk+1	NOUN
ejpam-4754	55	13	)	)	PUNCT
ejpam-4754	55	14	)	)	PUNCT
ejpam-4754	55	15	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-4754	55	16	dtk	dtk	PROPN
ejpam-4754	55	17	yk	yk	PROPN
ejpam-4754	55	18	(	(	PUNCT
ejpam-4754	55	19	17	17	NUM
ejpam-4754	55	20	)	)	PUNCT
ejpam-4754	55	21	and	and	CCONJ
ejpam-4754	55	22	βbe2	βbe2	PROPN
ejpam-4754	56	1	k	k	PROPN
ejpam-4754	56	2	=	=	SYM
ejpam-4754	56	3	2	2	X
ejpam-4754	56	4	(	(	PUNCT
ejpam-4754	56	5	gtk	gtk	NOUN
ejpam-4754	56	6	sk	sk	VERB
ejpam-4754	56	7	)	)	PUNCT
ejpam-4754	56	8	2	2	NUM
ejpam-4754	56	9	stk	stk	PROPN
ejpam-4754	56	10	gk(2(fk−fk+1)−stk	gk(2(fk−fk+1)−stk	PROPN
ejpam-4754	56	11	gk	gk	PROPN
ejpam-4754	56	12	)	)	PUNCT
ejpam-4754	56	13	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-4754	56	14	dtk	dtk	PROPN
ejpam-4754	56	15	gk	gk	PROPN
ejpam-4754	56	16	(	(	PUNCT
ejpam-4754	56	17	18	18	NUM
ejpam-4754	56	18	)	)	PUNCT
ejpam-4754	56	19	by	by	ADP
ejpam-4754	56	20	the	the	DET
ejpam-4754	56	21	above	above	ADJ
ejpam-4754	56	22	modification	modification	NOUN
ejpam-4754	56	23	,	,	PUNCT
ejpam-4754	56	24	it	it	PRON
ejpam-4754	56	25	is	be	AUX
ejpam-4754	56	26	not	not	PART
ejpam-4754	56	27	difficult	difficult	ADJ
ejpam-4754	56	28	to	to	PART
ejpam-4754	56	29	see	see	VERB
ejpam-4754	56	30	that	that	PRON
ejpam-4754	56	31	:	:	PUNCT
ejpam-4754	56	32	βbe3	βbe3	PROPN
ejpam-4754	57	1	k	k	X
ejpam-4754	58	1	=	=	SYM
ejpam-4754	58	2	2	2	X
ejpam-4754	58	3	(	(	PUNCT
ejpam-4754	58	4	gtk	gtk	NOUN
ejpam-4754	58	5	sk	sk	VERB
ejpam-4754	58	6	)	)	PUNCT
ejpam-4754	58	7	2	2	NUM
ejpam-4754	58	8	ak∥gk∥2(ak∥gk∥2	ak∥gk∥2(ak∥gk∥2	PROPN
ejpam-4754	58	9	+	+	NOUN
ejpam-4754	58	10	2(fk−fk+1	2(fk−fk+1	NUM
ejpam-4754	58	11	)	)	PUNCT
ejpam-4754	58	12	)	)	PUNCT
ejpam-4754	59	1	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-4754	59	2	∥gk∥2	∥gk∥2	PROPN
ejpam-4754	60	1	(	(	PUNCT
ejpam-4754	60	2	19	19	NUM
ejpam-4754	60	3	)	)	PUNCT
ejpam-4754	60	4	from	from	ADP
ejpam-4754	60	5	17	17	NUM
ejpam-4754	60	6	,	,	PUNCT
ejpam-4754	60	7	18	18	NUM
ejpam-4754	60	8	and	and	CCONJ
ejpam-4754	60	9	19	19	NUM
ejpam-4754	60	10	we	we	PRON
ejpam-4754	60	11	define	define	VERB
ejpam-4754	60	12	new	new	ADJ
ejpam-4754	60	13	formula	formula	NOUN
ejpam-4754	60	14	denote	denote	VERB
ejpam-4754	60	15	by	by	ADP
ejpam-4754	60	16	be1	be1	PROPN
ejpam-4754	60	17	,	,	PUNCT
ejpam-4754	60	18	be2	be2	PROPN
ejpam-4754	60	19	and	and	CCONJ
ejpam-4754	60	20	be3	be3	PROPN
ejpam-4754	60	21	.	.	PROPN
ejpam-4754	61	1	inspired	inspire	VERB
ejpam-4754	61	2	by	by	ADP
ejpam-4754	61	3	the	the	DET
ejpam-4754	61	4	above	above	ADJ
ejpam-4754	61	5	direction	direction	NOUN
ejpam-4754	61	6	,	,	PUNCT
ejpam-4754	61	7	we	we	PRON
ejpam-4754	61	8	refer	refer	VERB
ejpam-4754	61	9	to	to	ADP
ejpam-4754	61	10	the	the	DET
ejpam-4754	61	11	proposed	propose	VERB
ejpam-4754	61	12	algorithm	algorithm	NOUN
ejpam-4754	61	13	as	as	ADP
ejpam-4754	61	14	:	:	PUNCT
ejpam-4754	61	15	algorithm	algorithm	NOUN
ejpam-4754	61	16	(	(	PUNCT
ejpam-4754	61	17	2.1	2.1	NUM
ejpam-4754	61	18	):	):	PUNCT
ejpam-4754	61	19	(	(	PUNCT
ejpam-4754	61	20	be1,be2	be1,be2	PROPN
ejpam-4754	61	21	and	and	CCONJ
ejpam-4754	61	22	be3	be3	PROPN
ejpam-4754	61	23	)	)	PUNCT
ejpam-4754	61	24	.	.	PUNCT
ejpam-4754	62	1	stage	stage	NOUN
ejpam-4754	62	2	1	1	NUM
ejpam-4754	62	3	.	.	PUNCT
ejpam-4754	62	4	choose	choose	VERB
ejpam-4754	62	5	the	the	DET
ejpam-4754	62	6	first	first	ADJ
ejpam-4754	62	7	starting	start	VERB
ejpam-4754	62	8	location	location	NOUN
ejpam-4754	62	9	u1	u1	NOUN
ejpam-4754	62	10	.	.	PUNCT
ejpam-4754	63	1	set	set	VERB
ejpam-4754	63	2	d1	d1	PROPN
ejpam-4754	63	3	=	=	PUNCT
ejpam-4754	64	1	−g1	−g1	VERB
ejpam-4754	64	2	.	.	PUNCT
ejpam-4754	65	1	stage	stage	NOUN
ejpam-4754	65	2	2	2	NUM
ejpam-4754	65	3	.	.	PUNCT
ejpam-4754	66	1	if	if	SCONJ
ejpam-4754	66	2	∥gk∥	∥gk∥	NUM
ejpam-4754	66	3	=	=	SYM
ejpam-4754	66	4	0	0	NUM
ejpam-4754	66	5	stop	stop	NOUN
ejpam-4754	66	6	.	.	PUNCT
ejpam-4754	67	1	stage	stage	NOUN
ejpam-4754	67	2	3	3	NUM
ejpam-4754	67	3	.	.	PUNCT
ejpam-4754	68	1	state	state	NOUN
ejpam-4754	68	2	determine	determine	NOUN
ejpam-4754	68	3	if	if	SCONJ
ejpam-4754	68	4	αk	αk	PRON
ejpam-4754	68	5	meets	meet	VERB
ejpam-4754	68	6	the	the	DET
ejpam-4754	68	7	requirements	requirement	NOUN
ejpam-4754	68	8	6	6	NUM
ejpam-4754	68	9	and	and	CCONJ
ejpam-4754	68	10	7	7	NUM
ejpam-4754	68	11	.	.	NOUN
ejpam-4754	68	12	stage	stage	NOUN
ejpam-4754	68	13	4	4	NUM
ejpam-4754	68	14	.	.	PUNCT
ejpam-4754	68	15	compute	compute	VERB
ejpam-4754	68	16	βk	βk	ADP
ejpam-4754	68	17	as	as	SCONJ
ejpam-4754	68	18	given	give	VERB
ejpam-4754	68	19	in	in	ADP
ejpam-4754	68	20	formula	formula	NOUN
ejpam-4754	68	21	(	(	PUNCT
ejpam-4754	68	22	2.17	2.17	NUM
ejpam-4754	68	23	-	-	SYM
ejpam-4754	68	24	2.19	2.19	NUM
ejpam-4754	68	25	)	)	PUNCT
ejpam-4754	68	26	.	.	PUNCT
ejpam-4754	69	1	stage	stage	NOUN
ejpam-4754	69	2	5	5	NUM
ejpam-4754	69	3	.	.	PUNCT
ejpam-4754	69	4	create	create	VERB
ejpam-4754	69	5	the	the	DET
ejpam-4754	69	6	search	search	NOUN
ejpam-4754	69	7	direction	direction	NOUN
ejpam-4754	69	8	as	as	ADP
ejpam-4754	69	9	dk+1	dk+1	NOUN
ejpam-4754	69	10	=	=	SYM
ejpam-4754	69	11	−gk+1	−gk+1	PROPN
ejpam-4754	69	12	+	+	CCONJ
ejpam-4754	69	13	βkdk	βkdk	NOUN
ejpam-4754	69	14	.	.	PUNCT
ejpam-4754	70	1	stage	stage	PROPN
ejpam-4754	70	2	6	6	NUM
ejpam-4754	70	3	.	.	PUNCT
ejpam-4754	71	1	set	set	VERB
ejpam-4754	71	2	k	k	PROPN
ejpam-4754	72	1	=	=	PUNCT
ejpam-4754	72	2	k	k	PROPN
ejpam-4754	73	1	+	+	CCONJ
ejpam-4754	73	2	1	1	NUM
ejpam-4754	73	3	and	and	CCONJ
ejpam-4754	73	4	go	go	VERB
ejpam-4754	73	5	to	to	ADP
ejpam-4754	73	6	stage	stage	NOUN
ejpam-4754	73	7	2	2	NUM
ejpam-4754	73	8	.	.	NOUN
ejpam-4754	74	1	3	3	X
ejpam-4754	74	2	.	.	X
ejpam-4754	74	3	convergence	convergence	NOUN
ejpam-4754	74	4	analysis	analysis	NOUN
ejpam-4754	74	5	to	to	PART
ejpam-4754	74	6	give	give	VERB
ejpam-4754	74	7	the	the	DET
ejpam-4754	74	8	convergence	convergence	NOUN
ejpam-4754	74	9	result	result	NOUN
ejpam-4754	74	10	,	,	PUNCT
ejpam-4754	74	11	the	the	DET
ejpam-4754	74	12	following	follow	VERB
ejpam-4754	74	13	assumptions	assumption	NOUN
ejpam-4754	74	14	are	be	AUX
ejpam-4754	74	15	given	give	VERB
ejpam-4754	74	16	.	.	PUNCT
ejpam-4754	75	1	assumptions	assumption	NOUN
ejpam-4754	75	2	:	:	PUNCT
ejpam-4754	75	3	in	in	ADP
ejpam-4754	75	4	an	an	DET
ejpam-4754	75	5	open	open	ADJ
ejpam-4754	75	6	convex	convex	NOUN
ejpam-4754	75	7	set	set	VERB
ejpam-4754	75	8	ψ	ψ	SYM
ejpam-4754	75	9	that	that	PRON
ejpam-4754	75	10	contains	contain	VERB
ejpam-4754	75	11	the	the	DET
ejpam-4754	75	12	level	level	NOUN
ejpam-4754	75	13	set	set	NOUN
ejpam-4754	75	14	ψ	ψ	NOUN
ejpam-4754	75	15	=	=	NOUN
ejpam-4754	75	16	x	x	SYM
ejpam-4754	75	17	∈	∈	PROPN
ejpam-4754	75	18	rn	rn	NOUN
ejpam-4754	75	19	:	:	PUNCT
ejpam-4754	75	20	f(x	f(x	PROPN
ejpam-4754	75	21	)	)	PUNCT
ejpam-4754	75	22	≤	≤	NUM
ejpam-4754	75	23	f(x0	f(x0	NOUN
ejpam-4754	75	24	)	)	PUNCT
ejpam-4754	75	25	,	,	PUNCT
ejpam-4754	75	26	where	where	SCONJ
ejpam-4754	75	27	x0	x0	PROPN
ejpam-4754	75	28	is	be	AUX
ejpam-4754	75	29	given	give	VERB
ejpam-4754	75	30	,	,	PUNCT
ejpam-4754	75	31	f	f	PROPN
ejpam-4754	75	32	is	be	AUX
ejpam-4754	75	33	differentiable	differentiable	ADJ
ejpam-4754	75	34	and	and	CCONJ
ejpam-4754	75	35	its	its	PRON
ejpam-4754	75	36	gradient	gradient	NOUN
ejpam-4754	75	37	is	be	AUX
ejpam-4754	75	38	lipschitz	lipschitz	NOUN
ejpam-4754	75	39	continuous	continuous	ADJ
ejpam-4754	75	40	,	,	PUNCT
ejpam-4754	75	41	namely	namely	ADV
ejpam-4754	75	42	,	,	PUNCT
ejpam-4754	75	43	there	there	PRON
ejpam-4754	75	44	exists	exist	VERB
ejpam-4754	75	45	a	a	DET
ejpam-4754	75	46	constant	constant	ADJ
ejpam-4754	75	47	l	l	NOUN
ejpam-4754	75	48	>	>	X
ejpam-4754	75	49	0	0	NUM
ejpam-4754	75	50	such	such	ADJ
ejpam-4754	75	51	that	that	SCONJ
ejpam-4754	75	52	:	:	PUNCT
ejpam-4754	75	53	∥g(z)−	∥g(z)−	X
ejpam-4754	75	54	g(u)∥	g(u)∥	X
ejpam-4754	75	55	=	=	SYM
ejpam-4754	75	56	l	l	NOUN
ejpam-4754	75	57	∥z	∥z	NOUN
ejpam-4754	75	58	−	−	PROPN
ejpam-4754	75	59	u∥	u∥	X
ejpam-4754	75	60	,	,	PUNCT
ejpam-4754	75	61	∀z	∀z	PROPN
ejpam-4754	75	62	,	,	PUNCT
ejpam-4754	75	63	u	u	PROPN
ejpam-4754	75	64	∈	∈	PROPN
ejpam-4754	75	65	rn	rn	PROPN
ejpam-4754	75	66	.	.	PROPN
ejpam-4754	76	1	(	(	PUNCT
ejpam-4754	76	2	20	20	NUM
ejpam-4754	76	3	)	)	PUNCT
ejpam-4754	76	4	with	with	ADP
ejpam-4754	76	5	a	a	DET
ejpam-4754	76	6	constant	constant	ADJ
ejpam-4754	76	7	¥	¥	NUM
ejpam-4754	76	8	≥	≥	NOUN
ejpam-4754	76	9	0	0	NUM
ejpam-4754	76	10	such	such	ADJ
ejpam-4754	76	11	that	that	SCONJ
ejpam-4754	76	12	∥∇f(x)∥	∥∇f(x)∥	X
ejpam-4754	76	13	=	=	SYM
ejpam-4754	76	14	¥	¥	X
ejpam-4754	76	15	,	,	PUNCT
ejpam-4754	76	16	see	see	VERB
ejpam-4754	76	17	[	[	X
ejpam-4754	76	18	9	9	NUM
ejpam-4754	76	19	]	]	PUNCT
ejpam-4754	76	20	.	.	PUNCT
ejpam-4754	77	1	the	the	DET
ejpam-4754	77	2	following	follow	VERB
ejpam-4754	77	3	important	important	ADJ
ejpam-4754	77	4	result	result	NOUN
ejpam-4754	77	5	was	be	AUX
ejpam-4754	77	6	obtained	obtain	VERB
ejpam-4754	77	7	by	by	ADP
ejpam-4754	77	8	zoutendijk	zoutendijk	X
ejpam-4754	78	1	[	[	X
ejpam-4754	78	2	16	16	NUM
ejpam-4754	78	3	]	]	PUNCT
ejpam-4754	78	4	.	.	PUNCT
ejpam-4754	79	1	lemma	lemma	PROPN
ejpam-4754	79	2	1	1	NUM
ejpam-4754	79	3	.	.	PUNCT
ejpam-4754	80	1	any	any	DET
ejpam-4754	80	2	iteration	iteration	NOUN
ejpam-4754	80	3	method	method	NOUN
ejpam-4754	80	4	in	in	ADP
ejpam-4754	80	5	which	which	PRON
ejpam-4754	80	6	ak	ak	PROPN
ejpam-4754	80	7	is	be	AUX
ejpam-4754	80	8	obtained	obtain	VERB
ejpam-4754	80	9	by	by	ADP
ejpam-4754	80	10	the	the	DET
ejpam-4754	80	11	wolfe	wolfe	PROPN
ejpam-4754	80	12	line	line	NOUN
ejpam-4754	80	13	search	search	NOUN
ejpam-4754	80	14	and	and	CCONJ
ejpam-4754	80	15	the	the	DET
ejpam-4754	80	16	assumptions	assumption	NOUN
ejpam-4754	80	17	holds	hold	VERB
ejpam-4754	80	18	.	.	PUNCT
ejpam-4754	81	1	then	then	ADV
ejpam-4754	81	2	:	:	PUNCT
ejpam-4754	81	3	∞∑	∞∑	NUM
ejpam-4754	81	4	k=1	k=1	X
ejpam-4754	81	5	(	(	PUNCT
ejpam-4754	81	6	gtk	gtk	NOUN
ejpam-4754	81	7	dk	dk	PROPN
ejpam-4754	81	8	)	)	PUNCT
ejpam-4754	81	9	2	2	NUM
ejpam-4754	81	10	∥dk∥2	∥dk∥2	NOUN
ejpam-4754	81	11	<	<	X
ejpam-4754	81	12	∞.	∞.	PROPN
ejpam-4754	81	13	(	(	PUNCT
ejpam-4754	81	14	21	21	NUM
ejpam-4754	81	15	)	)	PUNCT
ejpam-4754	81	16	theorem	theorem	NOUN
ejpam-4754	81	17	1	1	NUM
ejpam-4754	81	18	.	.	PUNCT
ejpam-4754	82	1	let	let	VERB
ejpam-4754	82	2	the	the	DET
ejpam-4754	82	3	direction	direction	NOUN
ejpam-4754	82	4	dk+1	dk+1	NOUN
ejpam-4754	82	5	be	be	AUX
ejpam-4754	82	6	yielded	yield	VERB
ejpam-4754	82	7	by	by	ADP
ejpam-4754	82	8	the	the	DET
ejpam-4754	82	9	new	new	ADJ
ejpam-4754	82	10	algorithms	algorithm	NOUN
ejpam-4754	82	11	.	.	PUNCT
ejpam-4754	83	1	then	then	ADV
ejpam-4754	83	2	,	,	PUNCT
ejpam-4754	83	3	we	we	PRON
ejpam-4754	83	4	obtained	obtain	VERB
ejpam-4754	83	5	:	:	PUNCT
ejpam-4754	83	6	dtk+1gk+1	dtk+1gk+1	X
ejpam-4754	83	7	<	<	X
ejpam-4754	83	8	0	0	NUM
ejpam-4754	83	9	and	and	CCONJ
ejpam-4754	83	10	dtk+1gk+1	dtk+1gk+1	PRON
ejpam-4754	83	11	=	=	NOUN
ejpam-4754	84	1	βkd	βkd	PROPN
ejpam-4754	84	2	t	t	PROPN
ejpam-4754	84	3	k	k	PROPN
ejpam-4754	84	4	gk	gk	PROPN
ejpam-4754	84	5	.	.	PROPN
ejpam-4754	85	1	(	(	PUNCT
ejpam-4754	85	2	22	22	NUM
ejpam-4754	85	3	)	)	PUNCT
ejpam-4754	85	4	979	979	NUM
ejpam-4754	85	5	proof	proof	NOUN
ejpam-4754	85	6	.	.	PUNCT
ejpam-4754	86	1	using	use	VERB
ejpam-4754	86	2	8	8	NUM
ejpam-4754	86	3	,	,	PUNCT
ejpam-4754	86	4	it	it	PRON
ejpam-4754	86	5	holds	hold	VERB
ejpam-4754	86	6	that	that	SCONJ
ejpam-4754	86	7	:	:	PUNCT
ejpam-4754	86	8	dtk+1gk+1	dtk+1gk+1	PROPN
ejpam-4754	86	9	=	=	PUNCT
ejpam-4754	86	10	−gtk+1gk+1	−gtk+1gk+1	PROPN
ejpam-4754	87	1	+	+	CCONJ
ejpam-4754	87	2	βkd	βkd	VERB
ejpam-4754	87	3	t	t	PROPN
ejpam-4754	87	4	k	k	X
ejpam-4754	87	5	gk+1	gk+1	X
ejpam-4754	87	6	(	(	PUNCT
ejpam-4754	87	7	23	23	NUM
ejpam-4754	87	8	)	)	PUNCT
ejpam-4754	87	9	on	on	ADP
ejpam-4754	87	10	17	17	NUM
ejpam-4754	87	11	and	and	CCONJ
ejpam-4754	87	12	after	after	ADP
ejpam-4754	87	13	some	some	DET
ejpam-4754	87	14	algebra	algebra	NOUN
ejpam-4754	87	15	another	another	PRON
ejpam-4754	87	16	is	be	AUX
ejpam-4754	87	17	propose	propose	ADJ
ejpam-4754	87	18	as	as	ADP
ejpam-4754	87	19	:	:	PUNCT
ejpam-4754	87	20	∥gk+1∥2	∥gk+1∥2	PROPN
ejpam-4754	87	21	=	=	SYM
ejpam-4754	87	22	βbe1	βbe1	PROPN
ejpam-4754	88	1	k	k	PROPN
ejpam-4754	88	2	dtk	dtk	PROPN
ejpam-4754	88	3	yk	yk	PROPN
ejpam-4754	88	4	2	2	NUM
ejpam-4754	88	5	(	(	PUNCT
ejpam-4754	88	6	gtk	gtk	NOUN
ejpam-4754	88	7	sk)2	sk)2	PROPN
ejpam-4754	88	8	stk	stk	PROPN
ejpam-4754	89	1	yk(s	yk(s	ADP
ejpam-4754	89	2	t	t	PROPN
ejpam-4754	90	1	k	k	PROPN
ejpam-4754	90	2	yk+2(fk−fk+1	yk+2(fk−fk+1	NOUN
ejpam-4754	90	3	)	)	PUNCT
ejpam-4754	90	4	)	)	PUNCT
ejpam-4754	91	1	(	(	PUNCT
ejpam-4754	91	2	24	24	NUM
ejpam-4754	91	3	)	)	PUNCT
ejpam-4754	91	4	applying	apply	VERB
ejpam-4754	91	5	24	24	NUM
ejpam-4754	91	6	on	on	ADP
ejpam-4754	91	7	23	23	NUM
ejpam-4754	91	8	will	will	AUX
ejpam-4754	91	9	lead	lead	VERB
ejpam-4754	91	10	to	to	ADP
ejpam-4754	91	11	the	the	DET
ejpam-4754	91	12	following	following	NOUN
ejpam-4754	91	13	:	:	PUNCT
ejpam-4754	91	14	dtk+1gk+1	dtk+1gk+1	X
ejpam-4754	92	1	=	=	PUNCT
ejpam-4754	92	2	βbe1	βbe1	PROPN
ejpam-4754	92	3	k	k	PROPN
ejpam-4754	93	1	[	[	X
ejpam-4754	93	2	dtk	dtk	PROPN
ejpam-4754	93	3	gk+1	gk+1	PROPN
ejpam-4754	93	4	−	−	PROPN
ejpam-4754	93	5	dtk	dtk	PROPN
ejpam-4754	93	6	yk	yk	PROPN
ejpam-4754	93	7	]	]	X
ejpam-4754	93	8	=	=	PUNCT
ejpam-4754	94	1	βbe1	βbe1	PROPN
ejpam-4754	94	2	k	k	PROPN
ejpam-4754	94	3	dtk	dtk	PROPN
ejpam-4754	94	4	gk	gk	PROPN
ejpam-4754	94	5	<	<	X
ejpam-4754	94	6	0	0	PROPN
ejpam-4754	95	1	(	(	PUNCT
ejpam-4754	95	2	25	25	NUM
ejpam-4754	95	3	)	)	PUNCT
ejpam-4754	95	4	this	this	DET
ejpam-4754	95	5	inequality	inequality	NOUN
ejpam-4754	95	6	implies	imply	VERB
ejpam-4754	95	7	22	22	NUM
ejpam-4754	95	8	is	be	AUX
ejpam-4754	95	9	satisfied	satisfied	ADJ
ejpam-4754	95	10	for	for	ADP
ejpam-4754	95	11	k	k	PROPN
ejpam-4754	95	12	+	+	PROPN
ejpam-4754	95	13	1	1	X
ejpam-4754	95	14	.	.	X
ejpam-4754	95	15	theorem	theorem	NOUN
ejpam-4754	95	16	2	2	NUM
ejpam-4754	95	17	.	.	PUNCT
ejpam-4754	95	18	suppose	suppose	VERB
ejpam-4754	95	19	that	that	SCONJ
ejpam-4754	95	20	assumptions	assumption	NOUN
ejpam-4754	95	21	hold	hold	VERB
ejpam-4754	95	22	.	.	PUNCT
ejpam-4754	96	1	let	let	VERB
ejpam-4754	96	2	{	{	PUNCT
ejpam-4754	96	3	uk	uk	PROPN
ejpam-4754	96	4	}	}	PUNCT
ejpam-4754	96	5	be	be	AUX
ejpam-4754	96	6	generated	generate	VERB
ejpam-4754	96	7	by	by	ADP
ejpam-4754	96	8	new	new	ADJ
ejpam-4754	96	9	algorithm	algorithm	NOUN
ejpam-4754	96	10	.	.	PUNCT
ejpam-4754	97	1	then	then	ADV
ejpam-4754	97	2	one	one	PRON
ejpam-4754	97	3	has	have	VERB
ejpam-4754	97	4	:	:	PUNCT
ejpam-4754	97	5	lim	lim	PROPN
ejpam-4754	97	6	k→∞	k→∞	PROPN
ejpam-4754	97	7	inf	inf	PROPN
ejpam-4754	97	8	|gk|	|gk|	ADJ
ejpam-4754	97	9	=	=	SYM
ejpam-4754	97	10	0	0	NUM
ejpam-4754	97	11	.	.	PUNCT
ejpam-4754	98	1	(	(	PUNCT
ejpam-4754	98	2	26	26	NUM
ejpam-4754	98	3	)	)	PUNCT
ejpam-4754	98	4	proof	proof	NOUN
ejpam-4754	98	5	.	.	PUNCT
ejpam-4754	99	1	similar	similar	ADJ
ejpam-4754	99	2	to	to	ADP
ejpam-4754	99	3	the	the	DET
ejpam-4754	99	4	proof	proof	NOUN
ejpam-4754	99	5	done	do	VERB
ejpam-4754	99	6	in	in	ADP
ejpam-4754	99	7	hassan	hassan	PROPN
ejpam-4754	100	1	[	[	X
ejpam-4754	100	2	6	6	NUM
ejpam-4754	100	3	]	]	PUNCT
ejpam-4754	100	4	.	.	PUNCT
ejpam-4754	101	1	4	4	X
ejpam-4754	101	2	.	.	X
ejpam-4754	101	3	computational	computational	ADJ
ejpam-4754	101	4	experience	experience	NOUN
ejpam-4754	101	5	after	after	ADP
ejpam-4754	101	6	that	that	PRON
ejpam-4754	101	7	,	,	PUNCT
ejpam-4754	101	8	we	we	PRON
ejpam-4754	101	9	do	do	VERB
ejpam-4754	101	10	numerical	numerical	ADJ
ejpam-4754	101	11	experiments	experiment	NOUN
ejpam-4754	101	12	to	to	PART
ejpam-4754	101	13	evaluate	evaluate	VERB
ejpam-4754	101	14	algorithm	algorithm	NOUN
ejpam-4754	101	15	(	(	PUNCT
ejpam-4754	101	16	2.1	2.1	NUM
ejpam-4754	101	17	)	)	PUNCT
ejpam-4754	101	18	and	and	CCONJ
ejpam-4754	101	19	compare	compare	VERB
ejpam-4754	101	20	the	the	DET
ejpam-4754	101	21	performance	performance	NOUN
ejpam-4754	101	22	of	of	ADP
ejpam-4754	101	23	the	the	DET
ejpam-4754	101	24	fr	fr	ADJ
ejpam-4754	101	25	technique	technique	NOUN
ejpam-4754	101	26	to	to	ADP
ejpam-4754	101	27	salt	salt	VERB
ejpam-4754	101	28	-	-	PUNCT
ejpam-4754	101	29	and	and	CCONJ
ejpam-4754	101	30	-	-	PUNCT
ejpam-4754	101	31	pepper	pepper	NOUN
ejpam-4754	101	32	impulse	impulse	ADJ
ejpam-4754	101	33	noise	noise	NOUN
ejpam-4754	101	34	reduction	reduction	NOUN
ejpam-4754	101	35	.	.	PUNCT
ejpam-4754	102	1	table	table	NOUN
ejpam-4754	102	2	1	1	NUM
ejpam-4754	102	3	shows	show	VERB
ejpam-4754	102	4	the	the	DET
ejpam-4754	102	5	techniques	technique	NOUN
ejpam-4754	102	6	used	use	VERB
ejpam-4754	102	7	to	to	PART
ejpam-4754	102	8	evaluate	evaluate	VERB
ejpam-4754	102	9	photographs	photograph	NOUN
ejpam-4754	102	10	:	:	PUNCT
ejpam-4754	102	11	placelena	placelena	NOUN
ejpam-4754	102	12	,	,	PUNCT
ejpam-4754	102	13	home	home	NOUN
ejpam-4754	102	14	,	,	PUNCT
ejpam-4754	102	15	cameraman	cameraman	NOUN
ejpam-4754	102	16	,	,	PUNCT
ejpam-4754	102	17	and	and	CCONJ
ejpam-4754	102	18	elaine	elaine	PROPN
ejpam-4754	102	19	.	.	PUNCT
ejpam-4754	103	1	to	to	PART
ejpam-4754	103	2	assess	assess	VERB
ejpam-4754	103	3	restoration	restoration	NOUN
ejpam-4754	103	4	success	success	NOUN
ejpam-4754	103	5	qualitatively	qualitatively	ADV
ejpam-4754	103	6	,	,	PUNCT
ejpam-4754	103	7	we	we	PRON
ejpam-4754	103	8	use	use	VERB
ejpam-4754	103	9	the	the	DET
ejpam-4754	103	10	psnr	psnr	NOUN
ejpam-4754	103	11	(	(	PUNCT
ejpam-4754	103	12	peak	peak	NOUN
ejpam-4754	103	13	signal	signal	NOUN
ejpam-4754	103	14	to	to	PART
ejpam-4754	103	15	noise	noise	VERB
ejpam-4754	103	16	ratio	ratio	NOUN
ejpam-4754	103	17	):	):	PUNCT
ejpam-4754	103	18	psnr	psnr	NOUN
ejpam-4754	103	19	=	=	SYM
ejpam-4754	103	20	10log10	10log10	NUM
ejpam-4754	103	21	2552	2552	NUM
ejpam-4754	103	22	1	1	NUM
ejpam-4754	103	23	mn	mn	PROPN
ejpam-4754	103	24	∑	∑	PROPN
ejpam-4754	103	25	i	i	PROPN
ejpam-4754	103	26	,	,	PUNCT
ejpam-4754	103	27	j	j	PROPN
ejpam-4754	103	28	(	(	PUNCT
ejpam-4754	103	29	u	u	NOUN
ejpam-4754	103	30	r	r	VERB
ejpam-4754	103	31	i	i	PROPN
ejpam-4754	103	32	,	,	PUNCT
ejpam-4754	103	33	j	j	PROPN
ejpam-4754	103	34	−	−	PROPN
ejpam-4754	103	35	u∗i	u∗i	NOUN
ejpam-4754	103	36	,	,	PUNCT
ejpam-4754	103	37	j	j	NOUN
ejpam-4754	103	38	)	)	PUNCT
ejpam-4754	103	39	2	2	NUM
ejpam-4754	103	40	(	(	PUNCT
ejpam-4754	103	41	27	27	NUM
ejpam-4754	103	42	)	)	PUNCT
ejpam-4754	103	43	where	where	SCONJ
ejpam-4754	103	44	uri	uri	PROPN
ejpam-4754	103	45	,	,	PUNCT
ejpam-4754	103	46	j	j	PROPN
ejpam-4754	103	47	and	and	CCONJ
ejpam-4754	103	48	u∗i	u∗i	NOUN
ejpam-4754	103	49	,	,	PUNCT
ejpam-4754	103	50	j	j	PROPN
ejpam-4754	103	51	represent	represent	VERB
ejpam-4754	103	52	the	the	DET
ejpam-4754	103	53	restored	restore	VERB
ejpam-4754	103	54	and	and	CCONJ
ejpam-4754	103	55	original	original	ADJ
ejpam-4754	103	56	image	image	NOUN
ejpam-4754	103	57	pixel	pixel	NOUN
ejpam-4754	103	58	values	value	NOUN
ejpam-4754	103	59	.	.	PUNCT
ejpam-4754	104	1	both	both	DET
ejpam-4754	104	2	approaches	approach	NOUN
ejpam-4754	104	3	’	'	PUNCT
ejpam-4754	104	4	stopping	stop	VERB
ejpam-4754	104	5	criteria	criterion	NOUN
ejpam-4754	104	6	are	be	AUX
ejpam-4754	104	7	:	:	PUNCT
ejpam-4754	104	8	|f(uk)−	|f(uk)−	ADJ
ejpam-4754	104	9	f(uk−1)|	f(uk−1)|	PROPN
ejpam-4754	104	10	|f(uk)|	|f(uk)|	VERB
ejpam-4754	104	11	≤	≤	NUM
ejpam-4754	104	12	10−4	10−4	NUM
ejpam-4754	104	13	and	and	CCONJ
ejpam-4754	104	14	∥f(uk)∥	∥f(uk)∥	PROPN
ejpam-4754	104	15	=	=	SYM
ejpam-4754	104	16	10−4(1	10−4(1	NUM
ejpam-4754	104	17	+	+	NUM
ejpam-4754	104	18	|f(uk)|	|f(uk)|	NOUN
ejpam-4754	104	19	)	)	PUNCT
ejpam-4754	104	20	(	(	PUNCT
ejpam-4754	104	21	28	28	NUM
ejpam-4754	104	22	)	)	PUNCT
ejpam-4754	104	23	for	for	ADP
ejpam-4754	104	24	more	more	ADJ
ejpam-4754	104	25	details	detail	NOUN
ejpam-4754	104	26	see	see	VERB
ejpam-4754	104	27	[	[	X
ejpam-4754	104	28	5],[15	5],[15	NOUN
ejpam-4754	104	29	]	]	PUNCT
ejpam-4754	104	30	.	.	PUNCT
ejpam-4754	105	1	table	table	NOUN
ejpam-4754	105	2	(	(	PUNCT
ejpam-4754	105	3	1	1	X
ejpam-4754	105	4	)	)	PUNCT
ejpam-4754	105	5	displays	display	VERB
ejpam-4754	105	6	the	the	DET
ejpam-4754	105	7	psnr	psnr	NOUN
ejpam-4754	105	8	,	,	PUNCT
ejpam-4754	105	9	total	total	ADJ
ejpam-4754	105	10	number	number	NOUN
ejpam-4754	105	11	of	of	ADP
ejpam-4754	105	12	iterates	iterate	NOUN
ejpam-4754	105	13	(	(	PUNCT
ejpam-4754	105	14	ni	ni	NOUN
ejpam-4754	105	15	)	)	PUNCT
ejpam-4754	105	16	,	,	PUNCT
ejpam-4754	105	17	and	and	CCONJ
ejpam-4754	105	18	function	function	NOUN
ejpam-4754	105	19	evaluation	evaluation	NOUN
ejpam-4754	105	20	(	(	PUNCT
ejpam-4754	105	21	nf	nf	NOUN
ejpam-4754	105	22	)	)	PUNCT
ejpam-4754	105	23	.	.	PUNCT
ejpam-4754	106	1	980	980	NUM
ejpam-4754	106	2	table	table	NOUN
ejpam-4754	106	3	1	1	NUM
ejpam-4754	106	4	:	:	PUNCT
ejpam-4754	106	5	numerical	numerical	ADJ
ejpam-4754	106	6	results	result	NOUN
ejpam-4754	106	7	of	of	ADP
ejpam-4754	106	8	fr	fr	PROPN
ejpam-4754	106	9	,	,	PUNCT
ejpam-4754	106	10	be1	be1	PROPN
ejpam-4754	106	11	,	,	PUNCT
ejpam-4754	106	12	be2	be2	PROPN
ejpam-4754	106	13	and	and	CCONJ
ejpam-4754	106	14	be3	be3	PROPN
ejpam-4754	106	15	algorithms	algorithms	PROPN
ejpam-4754	106	16	.	.	PUNCT
ejpam-4754	107	1	table	table	NOUN
ejpam-4754	107	2	(	(	PUNCT
ejpam-4754	107	3	1	1	NUM
ejpam-4754	107	4	)	)	PUNCT
ejpam-4754	107	5	,	,	PUNCT
ejpam-4754	107	6	shows	show	VERB
ejpam-4754	107	7	that	that	SCONJ
ejpam-4754	107	8	the	the	DET
ejpam-4754	107	9	suggested	suggest	VERB
ejpam-4754	107	10	algorithms	algorithm	NOUN
ejpam-4754	107	11	beat	beat	VERB
ejpam-4754	107	12	the	the	DET
ejpam-4754	107	13	fr	fr	ADJ
ejpam-4754	107	14	technique	technique	NOUN
ejpam-4754	107	15	in	in	ADP
ejpam-4754	107	16	terms	term	NOUN
ejpam-4754	107	17	of	of	ADP
ejpam-4754	107	18	iterations	iteration	NOUN
ejpam-4754	107	19	and	and	CCONJ
ejpam-4754	107	20	function	function	NOUN
ejpam-4754	107	21	evaluations	evaluation	NOUN
ejpam-4754	107	22	,	,	PUNCT
ejpam-4754	107	23	as	as	ADV
ejpam-4754	107	24	well	well	ADV
ejpam-4754	107	25	as	as	ADP
ejpam-4754	107	26	peak	peak	NOUN
ejpam-4754	107	27	signal	signal	NOUN
ejpam-4754	107	28	to	to	PART
ejpam-4754	107	29	noise	noise	VERB
ejpam-4754	107	30	ratio	ratio	NOUN
ejpam-4754	107	31	.	.	PUNCT
ejpam-4754	108	1	figure	figure	NOUN
ejpam-4754	108	2	1	1	NUM
ejpam-4754	108	3	:	:	PUNCT
ejpam-4754	108	4	comparing	compare	VERB
ejpam-4754	108	5	images	image	NOUN
ejpam-4754	108	6	results	result	NOUN
ejpam-4754	108	7	of	of	ADP
ejpam-4754	108	8	algorithms	algorithm	NOUN
ejpam-4754	108	9	:	:	PUNCT
ejpam-4754	108	10	(	(	PUNCT
ejpam-4754	108	11	a	a	X
ejpam-4754	108	12	)	)	PUNCT
ejpam-4754	108	13	denoised	denoise	VERB
ejpam-4754	108	14	images	image	NOUN
ejpam-4754	108	15	with	with	ADP
ejpam-4754	108	16	70	70	NUM
ejpam-4754	108	17	%	%	NOUN
ejpam-4754	108	18	salt	salt	NOUN
ejpam-4754	108	19	-	-	PUNCT
ejpam-4754	108	20	and	and	CCONJ
ejpam-4754	108	21	-	-	PUNCT
ejpam-4754	108	22	pepper	pepper	NOUN
ejpam-4754	108	23	noise	noise	NOUN
ejpam-4754	108	24	,	,	PUNCT
ejpam-4754	108	25	(	(	PUNCT
ejpam-4754	108	26	b	b	NOUN
ejpam-4754	108	27	)	)	PUNCT
ejpam-4754	108	28	recovered	recover	VERB
ejpam-4754	108	29	images	image	NOUN
ejpam-4754	108	30	through	through	ADP
ejpam-4754	108	31	fr	fr	NOUN
ejpam-4754	108	32	,	,	PUNCT
ejpam-4754	108	33	(	(	PUNCT
ejpam-4754	108	34	c	c	NOUN
ejpam-4754	108	35	)	)	PUNCT
ejpam-4754	108	36	,	,	PUNCT
ejpam-4754	108	37	(	(	PUNCT
ejpam-4754	108	38	d	d	X
ejpam-4754	108	39	)	)	PUNCT
ejpam-4754	108	40	and	and	CCONJ
ejpam-4754	108	41	(	(	PUNCT
ejpam-4754	108	42	e	e	NOUN
ejpam-4754	108	43	)	)	PUNCT
ejpam-4754	108	44	restored	restore	VERB
ejpam-4754	108	45	images	image	NOUN
ejpam-4754	108	46	using	use	VERB
ejpam-4754	108	47	be1	be1	NOUN
ejpam-4754	108	48	,	,	PUNCT
ejpam-4754	108	49	be2	be2	PROPN
ejpam-4754	108	50	and	and	CCONJ
ejpam-4754	108	51	be3	be3	PROPN
ejpam-4754	108	52	of	of	ADP
ejpam-4754	108	53	256×	256×	PROPN
ejpam-4754	108	54	256	256	NUM
ejpam-4754	108	55	.	.	PUNCT
ejpam-4754	109	1	figure	figure	NOUN
ejpam-4754	109	2	2	2	NUM
ejpam-4754	109	3	:	:	PUNCT
ejpam-4754	109	4	comparing	compare	VERB
ejpam-4754	109	5	images	image	NOUN
ejpam-4754	109	6	results	result	NOUN
ejpam-4754	109	7	of	of	ADP
ejpam-4754	109	8	algorithms	algorithm	NOUN
ejpam-4754	109	9	:	:	PUNCT
ejpam-4754	109	10	(	(	PUNCT
ejpam-4754	109	11	a	a	X
ejpam-4754	109	12	)	)	PUNCT
ejpam-4754	109	13	denoised	denoise	VERB
ejpam-4754	109	14	images	image	NOUN
ejpam-4754	109	15	with	with	ADP
ejpam-4754	109	16	70	70	NUM
ejpam-4754	109	17	%	%	NOUN
ejpam-4754	109	18	salt	salt	NOUN
ejpam-4754	109	19	-	-	PUNCT
ejpam-4754	109	20	and	and	CCONJ
ejpam-4754	109	21	-	-	PUNCT
ejpam-4754	109	22	pepper	pepper	NOUN
ejpam-4754	109	23	noise	noise	NOUN
ejpam-4754	109	24	,	,	PUNCT
ejpam-4754	109	25	(	(	PUNCT
ejpam-4754	109	26	b	b	NOUN
ejpam-4754	109	27	)	)	PUNCT
ejpam-4754	109	28	recovered	recover	VERB
ejpam-4754	109	29	images	image	NOUN
ejpam-4754	109	30	through	through	ADP
ejpam-4754	109	31	fr	fr	NOUN
ejpam-4754	109	32	,	,	PUNCT
ejpam-4754	109	33	(	(	PUNCT
ejpam-4754	109	34	c	c	NOUN
ejpam-4754	109	35	)	)	PUNCT
ejpam-4754	109	36	,	,	PUNCT
ejpam-4754	109	37	(	(	PUNCT
ejpam-4754	109	38	d	d	X
ejpam-4754	109	39	)	)	PUNCT
ejpam-4754	109	40	and	and	CCONJ
ejpam-4754	109	41	(	(	PUNCT
ejpam-4754	109	42	e	e	NOUN
ejpam-4754	109	43	)	)	PUNCT
ejpam-4754	109	44	restored	restore	VERB
ejpam-4754	109	45	images	image	NOUN
ejpam-4754	109	46	using	use	VERB
ejpam-4754	109	47	be1	be1	NOUN
ejpam-4754	109	48	,	,	PUNCT
ejpam-4754	109	49	be2	be2	PROPN
ejpam-4754	109	50	and	and	CCONJ
ejpam-4754	109	51	be3	be3	PROPN
ejpam-4754	109	52	of	of	ADP
ejpam-4754	109	53	256×	256×	PROPN
ejpam-4754	109	54	256	256	NUM
ejpam-4754	109	55	.	.	PUNCT
ejpam-4754	110	1	figure	figure	VERB
ejpam-4754	110	2	3	3	NUM
ejpam-4754	110	3	:	:	PUNCT
ejpam-4754	110	4	comparing	compare	VERB
ejpam-4754	110	5	images	image	NOUN
ejpam-4754	110	6	results	result	NOUN
ejpam-4754	110	7	of	of	ADP
ejpam-4754	110	8	algorithms	algorithm	NOUN
ejpam-4754	110	9	:	:	PUNCT
ejpam-4754	110	10	(	(	PUNCT
ejpam-4754	110	11	a	a	X
ejpam-4754	110	12	)	)	PUNCT
ejpam-4754	110	13	denoised	denoise	VERB
ejpam-4754	110	14	images	image	NOUN
ejpam-4754	110	15	with	with	ADP
ejpam-4754	110	16	70	70	NUM
ejpam-4754	110	17	%	%	NOUN
ejpam-4754	110	18	salt	salt	NOUN
ejpam-4754	110	19	-	-	PUNCT
ejpam-4754	110	20	and	and	CCONJ
ejpam-4754	110	21	-	-	PUNCT
ejpam-4754	110	22	pepper	pepper	NOUN
ejpam-4754	110	23	noise	noise	NOUN
ejpam-4754	110	24	,	,	PUNCT
ejpam-4754	110	25	(	(	PUNCT
ejpam-4754	110	26	b	b	NOUN
ejpam-4754	110	27	)	)	PUNCT
ejpam-4754	110	28	recovered	recover	VERB
ejpam-4754	110	29	images	image	NOUN
ejpam-4754	110	30	through	through	ADP
ejpam-4754	110	31	fr	fr	NOUN
ejpam-4754	110	32	,	,	PUNCT
ejpam-4754	110	33	(	(	PUNCT
ejpam-4754	110	34	c	c	NOUN
ejpam-4754	110	35	)	)	PUNCT
ejpam-4754	110	36	,	,	PUNCT
ejpam-4754	110	37	(	(	PUNCT
ejpam-4754	110	38	d	d	X
ejpam-4754	110	39	)	)	PUNCT
ejpam-4754	110	40	and	and	CCONJ
ejpam-4754	110	41	(	(	PUNCT
ejpam-4754	110	42	e	e	NOUN
ejpam-4754	110	43	)	)	PUNCT
ejpam-4754	110	44	restored	restore	VERB
ejpam-4754	110	45	images	image	NOUN
ejpam-4754	110	46	using	use	VERB
ejpam-4754	110	47	be1	be1	NOUN
ejpam-4754	110	48	,	,	PUNCT
ejpam-4754	110	49	be2	be2	PROPN
ejpam-4754	110	50	and	and	CCONJ
ejpam-4754	110	51	be3	be3	PROPN
ejpam-4754	110	52	of	of	ADP
ejpam-4754	110	53	256×	256×	PROPN
ejpam-4754	110	54	256	256	NUM
ejpam-4754	110	55	.	.	PUNCT
ejpam-4754	111	1	981	981	NUM
ejpam-4754	111	2	figure	figure	NOUN
ejpam-4754	111	3	4	4	NUM
ejpam-4754	111	4	:	:	PUNCT
ejpam-4754	111	5	comparing	compare	VERB
ejpam-4754	111	6	images	image	NOUN
ejpam-4754	111	7	results	result	NOUN
ejpam-4754	111	8	of	of	ADP
ejpam-4754	111	9	algorithms	algorithm	NOUN
ejpam-4754	111	10	:	:	PUNCT
ejpam-4754	111	11	(	(	PUNCT
ejpam-4754	111	12	a	a	X
ejpam-4754	111	13	)	)	PUNCT
ejpam-4754	111	14	denoised	denoise	VERB
ejpam-4754	111	15	images	image	NOUN
ejpam-4754	111	16	with	with	ADP
ejpam-4754	111	17	70	70	NUM
ejpam-4754	111	18	%	%	NOUN
ejpam-4754	111	19	salt	salt	NOUN
ejpam-4754	111	20	-	-	PUNCT
ejpam-4754	111	21	and	and	CCONJ
ejpam-4754	111	22	-	-	PUNCT
ejpam-4754	111	23	pepper	pepper	NOUN
ejpam-4754	111	24	noise	noise	NOUN
ejpam-4754	111	25	,	,	PUNCT
ejpam-4754	111	26	(	(	PUNCT
ejpam-4754	111	27	b	b	NOUN
ejpam-4754	111	28	)	)	PUNCT
ejpam-4754	111	29	recovered	recover	VERB
ejpam-4754	111	30	images	image	NOUN
ejpam-4754	111	31	through	through	ADP
ejpam-4754	111	32	fr	fr	NOUN
ejpam-4754	111	33	,	,	PUNCT
ejpam-4754	111	34	(	(	PUNCT
ejpam-4754	111	35	c	c	NOUN
ejpam-4754	111	36	)	)	PUNCT
ejpam-4754	111	37	,	,	PUNCT
ejpam-4754	111	38	(	(	PUNCT
ejpam-4754	111	39	d	d	X
ejpam-4754	111	40	)	)	PUNCT
ejpam-4754	111	41	and	and	CCONJ
ejpam-4754	111	42	(	(	PUNCT
ejpam-4754	111	43	e	e	NOUN
ejpam-4754	111	44	)	)	PUNCT
ejpam-4754	111	45	restored	restore	VERB
ejpam-4754	111	46	images	image	NOUN
ejpam-4754	111	47	using	use	VERB
ejpam-4754	111	48	be1	be1	NOUN
ejpam-4754	111	49	,	,	PUNCT
ejpam-4754	111	50	be2	be2	PROPN
ejpam-4754	111	51	and	and	CCONJ
ejpam-4754	111	52	be3	be3	PROPN
ejpam-4754	111	53	of	of	ADP
ejpam-4754	111	54	256×	256×	PROPN
ejpam-4754	111	55	256	256	NUM
ejpam-4754	111	56	.	.	PUNCT
ejpam-4754	112	1	5	5	NUM
ejpam-4754	112	2	.	.	PUNCT
ejpam-4754	112	3	conclusions	conclusion	NOUN
ejpam-4754	112	4	in	in	ADP
ejpam-4754	112	5	this	this	DET
ejpam-4754	112	6	study	study	NOUN
ejpam-4754	112	7	,	,	PUNCT
ejpam-4754	112	8	we	we	PRON
ejpam-4754	112	9	introduce	introduce	VERB
ejpam-4754	112	10	a	a	DET
ejpam-4754	112	11	parameter	parameter	NOUN
ejpam-4754	112	12	conjugate	conjugate	ADJ
ejpam-4754	112	13	gradient	gradient	NOUN
ejpam-4754	112	14	strategy	strategy	NOUN
ejpam-4754	112	15	based	base	VERB
ejpam-4754	112	16	on	on	ADP
ejpam-4754	112	17	the	the	DET
ejpam-4754	112	18	quadratic	quadratic	ADJ
ejpam-4754	112	19	function	function	NOUN
ejpam-4754	112	20	for	for	ADP
ejpam-4754	112	21	picture	picture	NOUN
ejpam-4754	112	22	restoration	restoration	NOUN
ejpam-4754	112	23	problems	problem	NOUN
ejpam-4754	112	24	,	,	PUNCT
ejpam-4754	112	25	and	and	CCONJ
ejpam-4754	112	26	we	we	PRON
ejpam-4754	112	27	analyze	analyze	VERB
ejpam-4754	112	28	its	its	PRON
ejpam-4754	112	29	global	global	ADJ
ejpam-4754	112	30	convergence	convergence	NOUN
ejpam-4754	112	31	under	under	ADP
ejpam-4754	112	32	various	various	ADJ
ejpam-4754	112	33	mild	mild	ADJ
ejpam-4754	112	34	circumstances	circumstance	NOUN
ejpam-4754	112	35	.	.	PUNCT
ejpam-4754	113	1	our	our	PRON
ejpam-4754	113	2	solution	solution	NOUN
ejpam-4754	113	3	is	be	AUX
ejpam-4754	113	4	promising	promising	ADJ
ejpam-4754	113	5	and	and	CCONJ
ejpam-4754	113	6	practical	practical	ADJ
ejpam-4754	113	7	,	,	PUNCT
ejpam-4754	113	8	as	as	SCONJ
ejpam-4754	113	9	demonstrated	demonstrate	VERB
ejpam-4754	113	10	by	by	ADP
ejpam-4754	113	11	numerical	numerical	ADJ
ejpam-4754	113	12	tests	test	NOUN
ejpam-4754	113	13	for	for	ADP
ejpam-4754	113	14	restricted	restrict	VERB
ejpam-4754	113	15	picture	picture	NOUN
ejpam-4754	113	16	restoration	restoration	NOUN
ejpam-4754	113	17	challenges	challenge	NOUN
ejpam-4754	113	18	.	.	PUNCT
ejpam-4754	114	1	references	reference	NOUN
ejpam-4754	114	2	[	[	X
ejpam-4754	114	3	1	1	NUM
ejpam-4754	114	4	]	]	PUNCT
ejpam-4754	114	5	yu	yu	PROPN
ejpam-4754	114	6	-	-	PROPN
ejpam-4754	114	7	hong	hong	PROPN
ejpam-4754	114	8	dai	dai	PROPN
ejpam-4754	114	9	and	and	CCONJ
ejpam-4754	114	10	yaxiang	yaxiang	PROPN
ejpam-4754	114	11	yuan	yuan	PROPN
ejpam-4754	114	12	.	.	PUNCT
ejpam-4754	115	1	a	a	DET
ejpam-4754	115	2	nonlinear	nonlinear	ADJ
ejpam-4754	115	3	conjugate	conjugate	ADJ
ejpam-4754	115	4	gradient	gradient	NOUN
ejpam-4754	115	5	method	method	NOUN
ejpam-4754	115	6	with	with	ADP
ejpam-4754	115	7	a	a	DET
ejpam-4754	115	8	strong	strong	ADJ
ejpam-4754	115	9	global	global	ADJ
ejpam-4754	115	10	convergence	convergence	NOUN
ejpam-4754	115	11	property	property	NOUN
ejpam-4754	115	12	.	.	PUNCT
ejpam-4754	116	1	siam	siam	PROPN
ejpam-4754	116	2	journal	journal	PROPN
ejpam-4754	116	3	on	on	ADP
ejpam-4754	116	4	optimization	optimization	NOUN
ejpam-4754	116	5	,	,	PUNCT
ejpam-4754	116	6	10(1):177–182	10(1):177–182	NUM
ejpam-4754	116	7	,	,	PUNCT
ejpam-4754	116	8	1999	1999	NUM
ejpam-4754	116	9	.	.	PUNCT
ejpam-4754	117	1	[	[	X
ejpam-4754	117	2	2	2	X
ejpam-4754	117	3	]	]	PUNCT
ejpam-4754	117	4	reeves	reeves	PROPN
ejpam-4754	117	5	fletcher	fletcher	PROPN
ejpam-4754	117	6	and	and	CCONJ
ejpam-4754	117	7	colin	colin	PROPN
ejpam-4754	117	8	m	m	PROPN
ejpam-4754	117	9	reeves	reeves	PROPN
ejpam-4754	117	10	.	.	PUNCT
ejpam-4754	118	1	function	function	NOUN
ejpam-4754	118	2	minimization	minimization	NOUN
ejpam-4754	118	3	by	by	ADP
ejpam-4754	118	4	conjugate	conjugate	ADJ
ejpam-4754	118	5	gradients	gradient	NOUN
ejpam-4754	118	6	.	.	PUNCT
ejpam-4754	119	1	the	the	DET
ejpam-4754	119	2	computer	computer	NOUN
ejpam-4754	119	3	journal	journal	NOUN
ejpam-4754	119	4	,	,	PUNCT
ejpam-4754	119	5	7(2):149–154	7(2):149–154	NUM
ejpam-4754	119	6	,	,	PUNCT
ejpam-4754	119	7	1964	1964	NUM
ejpam-4754	119	8	.	.	PUNCT
ejpam-4754	120	1	[	[	X
ejpam-4754	120	2	3	3	X
ejpam-4754	120	3	]	]	X
ejpam-4754	120	4	roger	roger	PROPN
ejpam-4754	120	5	fletcher	fletcher	PROPN
ejpam-4754	120	6	.	.	PUNCT
ejpam-4754	121	1	practical	practical	ADJ
ejpam-4754	121	2	methods	method	NOUN
ejpam-4754	121	3	of	of	ADP
ejpam-4754	121	4	optimization	optimization	NOUN
ejpam-4754	121	5	.	.	PUNCT
ejpam-4754	122	1	john	john	PROPN
ejpam-4754	122	2	wiley	wiley	PROPN
ejpam-4754	122	3	&	&	CCONJ
ejpam-4754	122	4	sons	son	NOUN
ejpam-4754	122	5	,	,	PUNCT
ejpam-4754	122	6	2013	2013	NUM
ejpam-4754	122	7	.	.	PUNCT
ejpam-4754	123	1	[	[	X
ejpam-4754	123	2	4	4	X
ejpam-4754	123	3	]	]	X
ejpam-4754	123	4	dai	dai	PROPN
ejpam-4754	123	5	y.	y.	PROPN
ejpam-4754	123	6	h.	h.	PROPN
ejpam-4754	123	7	and	and	CCONJ
ejpam-4754	123	8	yuan	yuan	PROPN
ejpam-4754	123	9	y.	y.	PROPN
ejpam-4754	123	10	onlinear	onlinear	PROPN
ejpam-4754	123	11	conjugate	conjugate	ADJ
ejpam-4754	123	12	gradient	gradient	ADJ
ejpam-4754	123	13	method	method	NOUN
ejpam-4754	123	14	.	.	PUNCT
ejpam-4754	124	1	beijing	beijing	PROPN
ejpam-4754	124	2	,	,	PUNCT
ejpam-4754	124	3	1998	1998	NUM
ejpam-4754	124	4	.	.	PUNCT
ejpam-4754	125	1	[	[	X
ejpam-4754	125	2	5	5	X
ejpam-4754	125	3	]	]	X
ejpam-4754	125	4	basim	basim	PROPN
ejpam-4754	125	5	a.	a.	PROPN
ejpam-4754	125	6	hassan	hassan	PROPN
ejpam-4754	125	7	and	and	CCONJ
ejpam-4754	125	8	ali	ali	PROPN
ejpam-4754	125	9	ahmed	ahmed	PROPN
ejpam-4754	125	10	a.	a.	PROPN
ejpam-4754	125	11	abdullah	abdullah	PROPN
ejpam-4754	125	12	.	.	PUNCT
ejpam-4754	126	1	improvement	improvement	NOUN
ejpam-4754	126	2	of	of	ADP
ejpam-4754	126	3	conjugate	conjugate	ADJ
ejpam-4754	126	4	gradient	gradient	NOUN
ejpam-4754	126	5	methods	method	NOUN
ejpam-4754	126	6	for	for	ADP
ejpam-4754	126	7	removing	remove	VERB
ejpam-4754	126	8	impulse	impulse	ADJ
ejpam-4754	126	9	noise	noise	NOUN
ejpam-4754	126	10	images	image	NOUN
ejpam-4754	126	11	.	.	PUNCT
ejpam-4754	127	1	indonesian	indonesian	ADJ
ejpam-4754	127	2	journal	journal	PROPN
ejpam-4754	127	3	of	of	ADP
ejpam-4754	127	4	electrical	electrical	ADJ
ejpam-4754	127	5	engineering	engineering	NOUN
ejpam-4754	127	6	and	and	CCONJ
ejpam-4754	127	7	computer	computer	NOUN
ejpam-4754	127	8	science	science	NOUN
ejpam-4754	127	9	,	,	PUNCT
ejpam-4754	127	10	29(1):245–251	29(1):245–251	PROPN
ejpam-4754	127	11	,	,	PUNCT
ejpam-4754	127	12	2023	2023	NUM
ejpam-4754	127	13	.	.	PUNCT
ejpam-4754	128	1	[	[	X
ejpam-4754	128	2	6	6	NUM
ejpam-4754	128	3	]	]	PUNCT
ejpam-4754	128	4	basim	basim	NOUN
ejpam-4754	128	5	a	a	DET
ejpam-4754	128	6	hassan	hassan	PROPN
ejpam-4754	128	7	and	and	CCONJ
ejpam-4754	128	8	haneen	haneen	NOUN
ejpam-4754	128	9	alashoor	alashoor	PROPN
ejpam-4754	128	10	.	.	PUNCT
ejpam-4754	129	1	a	a	DET
ejpam-4754	129	2	new	new	ADJ
ejpam-4754	129	3	type	type	NOUN
ejpam-4754	129	4	coefficient	coefficient	NOUN
ejpam-4754	129	5	conjugate	conjugate	ADJ
ejpam-4754	129	6	on	on	ADP
ejpam-4754	129	7	the	the	DET
ejpam-4754	129	8	gradient	gradient	ADJ
ejpam-4754	129	9	methods	method	NOUN
ejpam-4754	129	10	for	for	ADP
ejpam-4754	129	11	impulse	impulse	ADJ
ejpam-4754	129	12	noise	noise	NOUN
ejpam-4754	129	13	removal	removal	NOUN
ejpam-4754	129	14	in	in	ADP
ejpam-4754	129	15	images	image	NOUN
ejpam-4754	129	16	.	.	PUNCT
ejpam-4754	130	1	european	european	ADJ
ejpam-4754	130	2	journal	journal	PROPN
ejpam-4754	130	3	of	of	ADP
ejpam-4754	130	4	pure	pure	ADJ
ejpam-4754	130	5	and	and	CCONJ
ejpam-4754	130	6	applied	applied	ADJ
ejpam-4754	130	7	mathematics	mathematic	NOUN
ejpam-4754	130	8	,	,	PUNCT
ejpam-4754	130	9	15(4):2043–2053	15(4):2043–2053	NUM
ejpam-4754	130	10	,	,	PUNCT
ejpam-4754	130	11	2022	2022	NUM
ejpam-4754	130	12	.	.	PUNCT
ejpam-4754	131	1	[	[	X
ejpam-4754	131	2	7	7	X
ejpam-4754	131	3	]	]	X
ejpam-4754	131	4	basim	basim	PROPN
ejpam-4754	131	5	a.	a.	PROPN
ejpam-4754	131	6	hassan	hassan	PROPN
ejpam-4754	131	7	and	and	CCONJ
ejpam-4754	131	8	haneen	haneen	PROPN
ejpam-4754	131	9	a.	a.	NOUN
ejpam-4754	131	10	alashoor	alashoor	PROPN
ejpam-4754	131	11	.	.	PUNCT
ejpam-4754	132	1	on	on	ADP
ejpam-4754	132	2	image	image	NOUN
ejpam-4754	132	3	restoration	restoration	NOUN
ejpam-4754	132	4	problems	problem	NOUN
ejpam-4754	132	5	using	use	VERB
ejpam-4754	132	6	new	new	ADJ
ejpam-4754	132	7	conjugate	conjugate	ADJ
ejpam-4754	132	8	gradient	gradient	ADJ
ejpam-4754	132	9	methods	method	NOUN
ejpam-4754	132	10	.	.	PUNCT
ejpam-4754	133	1	indonesian	indonesian	ADJ
ejpam-4754	133	2	journal	journal	PROPN
ejpam-4754	133	3	of	of	ADP
ejpam-4754	133	4	electrical	electrical	ADJ
ejpam-4754	133	5	engineering	engineering	NOUN
ejpam-4754	133	6	and	and	CCONJ
ejpam-4754	133	7	computer	computer	NOUN
ejpam-4754	133	8	science	science	NOUN
ejpam-4754	133	9	,	,	PUNCT
ejpam-4754	133	10	29(3):1438–1445	29(3):1438–1445	PROPN
ejpam-4754	133	11	,	,	PUNCT
ejpam-4754	133	12	2023	2023	NUM
ejpam-4754	133	13	.	.	PUNCT
ejpam-4754	134	1	[	[	X
ejpam-4754	134	2	8	8	NUM
ejpam-4754	134	3	]	]	X
ejpam-4754	134	4	basim	basim	NOUN
ejpam-4754	134	5	a	a	DET
ejpam-4754	134	6	hassan	hassan	PROPN
ejpam-4754	134	7	and	and	CCONJ
ejpam-4754	134	8	hameed	hameed	PROPN
ejpam-4754	134	9	sadiq	sadiq	PROPN
ejpam-4754	134	10	.	.	PUNCT
ejpam-4754	135	1	efficient	efficient	ADJ
ejpam-4754	135	2	new	new	ADJ
ejpam-4754	135	3	conjugate	conjugate	ADJ
ejpam-4754	135	4	gradient	gradient	NOUN
ejpam-4754	135	5	methods	method	NOUN
ejpam-4754	135	6	for	for	ADP
ejpam-4754	135	7	removing	remove	VERB
ejpam-4754	135	8	impulse	impulse	ADJ
ejpam-4754	135	9	noise	noise	NOUN
ejpam-4754	135	10	images	image	NOUN
ejpam-4754	135	11	.	.	PUNCT
ejpam-4754	136	1	european	european	ADJ
ejpam-4754	136	2	journal	journal	PROPN
ejpam-4754	136	3	of	of	ADP
ejpam-4754	136	4	pure	pure	ADJ
ejpam-4754	136	5	and	and	CCONJ
ejpam-4754	136	6	applied	applied	ADJ
ejpam-4754	136	7	mathematics	mathematic	NOUN
ejpam-4754	136	8	,	,	PUNCT
ejpam-4754	136	9	15(4):2011–2021	15(4):2011–2021	NUM
ejpam-4754	136	10	,	,	PUNCT
ejpam-4754	136	11	2022	2022	NUM
ejpam-4754	136	12	.	.	PUNCT
ejpam-4754	137	1	references	reference	NOUN
ejpam-4754	137	2	982	982	NUM
ejpam-4754	137	3	[	[	X
ejpam-4754	137	4	9	9	NUM
ejpam-4754	137	5	]	]	PUNCT
ejpam-4754	137	6	basim	basim	NOUN
ejpam-4754	137	7	a	a	DET
ejpam-4754	137	8	hassan	hassan	PROPN
ejpam-4754	137	9	and	and	CCONJ
ejpam-4754	137	10	hameed	hameed	PROPN
ejpam-4754	137	11	m	m	PROPN
ejpam-4754	137	12	sadiq	sadiq	PROPN
ejpam-4754	137	13	.	.	PUNCT
ejpam-4754	138	1	a	a	DET
ejpam-4754	138	2	new	new	ADJ
ejpam-4754	138	3	formula	formula	NOUN
ejpam-4754	138	4	on	on	ADP
ejpam-4754	138	5	the	the	DET
ejpam-4754	138	6	conjugate	conjugate	ADJ
ejpam-4754	138	7	gradient	gradient	NOUN
ejpam-4754	138	8	method	method	NOUN
ejpam-4754	138	9	for	for	ADP
ejpam-4754	138	10	removing	remove	VERB
ejpam-4754	138	11	impulse	impulse	ADJ
ejpam-4754	138	12	noise	noise	NOUN
ejpam-4754	138	13	images	image	NOUN
ejpam-4754	138	14	.	.	PUNCT
ejpam-4754	139	1	bulletin	bulletin	NOUN
ejpam-4754	139	2	of	of	ADP
ejpam-4754	139	3	the	the	DET
ejpam-4754	139	4	south	south	ADJ
ejpam-4754	139	5	ural	ural	PROPN
ejpam-4754	139	6	state	state	PROPN
ejpam-4754	139	7	university	university	PROPN
ejpam-4754	139	8	.	.	PUNCT
ejpam-4754	140	1	ser	ser	PROPN
ejpam-4754	140	2	.	.	PROPN
ejpam-4754	141	1	mathematical	mathematical	ADJ
ejpam-4754	141	2	modelling	modelling	NOUN
ejpam-4754	141	3	,	,	PUNCT
ejpam-4754	141	4	programming	programming	NOUN
ejpam-4754	141	5	and	and	CCONJ
ejpam-4754	141	6	computer	computer	NOUN
ejpam-4754	141	7	software	software	NOUN
ejpam-4754	141	8	,	,	PUNCT
ejpam-4754	141	9	15(4):123	15(4):123	NUM
ejpam-4754	141	10	–	–	PUNCT
ejpam-4754	141	11	130	130	NUM
ejpam-4754	141	12	,	,	PUNCT
ejpam-4754	141	13	2022	2022	NUM
ejpam-4754	141	14	.	.	PUNCT
ejpam-4754	142	1	[	[	X
ejpam-4754	142	2	10	10	NUM
ejpam-4754	142	3	]	]	X
ejpam-4754	142	4	magnus	magnus	NOUN
ejpam-4754	142	5	r	r	NOUN
ejpam-4754	142	6	hestenes	hestene	NOUN
ejpam-4754	142	7	,	,	PUNCT
ejpam-4754	142	8	eduard	eduard	PROPN
ejpam-4754	142	9	stiefel	stiefel	PROPN
ejpam-4754	142	10	,	,	PUNCT
ejpam-4754	142	11	et	et	PROPN
ejpam-4754	142	12	al	al	PROPN
ejpam-4754	142	13	.	.	PUNCT
ejpam-4754	142	14	methods	method	NOUN
ejpam-4754	142	15	of	of	ADP
ejpam-4754	142	16	conjugate	conjugate	ADJ
ejpam-4754	142	17	gradients	gradient	NOUN
ejpam-4754	142	18	for	for	ADP
ejpam-4754	142	19	solving	solve	VERB
ejpam-4754	142	20	linear	linear	NOUN
ejpam-4754	142	21	systems	system	NOUN
ejpam-4754	142	22	.	.	PUNCT
ejpam-4754	143	1	journal	journal	PROPN
ejpam-4754	143	2	of	of	ADP
ejpam-4754	143	3	research	research	NOUN
ejpam-4754	143	4	of	of	ADP
ejpam-4754	143	5	the	the	DET
ejpam-4754	143	6	national	national	PROPN
ejpam-4754	143	7	bureau	bureau	PROPN
ejpam-4754	143	8	of	of	ADP
ejpam-4754	143	9	standards	standard	NOUN
ejpam-4754	143	10	,	,	PUNCT
ejpam-4754	143	11	49(6):409	49(6):409	NUM
ejpam-4754	143	12	–	–	PUNCT
ejpam-4754	143	13	436	436	NUM
ejpam-4754	143	14	,	,	PUNCT
ejpam-4754	143	15	1952	1952	NUM
ejpam-4754	143	16	.	.	PUNCT
ejpam-4754	144	1	[	[	X
ejpam-4754	144	2	11	11	NUM
ejpam-4754	144	3	]	]	X
ejpam-4754	144	4	nocedal	nocedal	NOUN
ejpam-4754	144	5	jorge	jorge	NOUN
ejpam-4754	144	6	and	and	CCONJ
ejpam-4754	144	7	j	j	PROPN
ejpam-4754	144	8	wright	wright	PROPN
ejpam-4754	144	9	stephen	stephen	PROPN
ejpam-4754	144	10	.	.	PUNCT
ejpam-4754	145	1	numerical	numerical	PROPN
ejpam-4754	145	2	optimization	optimization	PROPN
ejpam-4754	145	3	,	,	PUNCT
ejpam-4754	145	4	2006	2006	NUM
ejpam-4754	145	5	.	.	PUNCT
ejpam-4754	146	1	[	[	X
ejpam-4754	146	2	12	12	NUM
ejpam-4754	146	3	]	]	X
ejpam-4754	146	4	y	y	PROPN
ejpam-4754	146	5	liu	liu	PROPN
ejpam-4754	146	6	and	and	CCONJ
ejpam-4754	146	7	c	c	PROPN
ejpam-4754	146	8	storey	storey	NOUN
ejpam-4754	146	9	.	.	PUNCT
ejpam-4754	147	1	efficient	efficient	ADJ
ejpam-4754	147	2	generalized	generalize	VERB
ejpam-4754	147	3	conjugate	conjugate	ADJ
ejpam-4754	147	4	gradient	gradient	ADJ
ejpam-4754	147	5	algorithms	algorithm	NOUN
ejpam-4754	147	6	,	,	PUNCT
ejpam-4754	147	7	part	part	NOUN
ejpam-4754	147	8	1	1	NUM
ejpam-4754	147	9	:	:	PUNCT
ejpam-4754	147	10	theory	theory	NOUN
ejpam-4754	147	11	.	.	PUNCT
ejpam-4754	148	1	journal	journal	NOUN
ejpam-4754	148	2	of	of	ADP
ejpam-4754	148	3	optimization	optimization	NOUN
ejpam-4754	148	4	theory	theory	NOUN
ejpam-4754	148	5	and	and	CCONJ
ejpam-4754	148	6	applications	application	NOUN
ejpam-4754	148	7	,	,	PUNCT
ejpam-4754	148	8	69:129–137	69:129–137	NUM
ejpam-4754	148	9	,	,	PUNCT
ejpam-4754	148	10	1991	1991	NUM
ejpam-4754	148	11	.	.	PUNCT
ejpam-4754	149	1	[	[	X
ejpam-4754	149	2	13	13	NUM
ejpam-4754	149	3	]	]	PUNCT
ejpam-4754	149	4	elijah	elijah	PROPN
ejpam-4754	149	5	polak	polak	PROPN
ejpam-4754	149	6	and	and	CCONJ
ejpam-4754	149	7	gerard	gerard	PROPN
ejpam-4754	149	8	ribiere	ribiere	PROPN
ejpam-4754	149	9	.	.	PUNCT
ejpam-4754	150	1	note	note	VERB
ejpam-4754	150	2	sur	sur	PROPN
ejpam-4754	150	3	la	la	X
ejpam-4754	150	4	convergence	convergence	NOUN
ejpam-4754	150	5	de	de	X
ejpam-4754	150	6	méthodes	méthodes	X
ejpam-4754	150	7	de	de	PROPN
ejpam-4754	150	8	directions	direction	NOUN
ejpam-4754	150	9	conjuguées	conjuguées	PROPN
ejpam-4754	150	10	.	.	PUNCT
ejpam-4754	151	1	revue	revue	PROPN
ejpam-4754	151	2	française	française	PROPN
ejpam-4754	151	3	d’informatique	d’informatique	NOUN
ejpam-4754	151	4	et	et	X
ejpam-4754	151	5	de	de	X
ejpam-4754	151	6	recherche	recherche	X
ejpam-4754	151	7	opérationnelle	opérationnelle	PROPN
ejpam-4754	151	8	.	.	PUNCT
ejpam-4754	152	1	série	série	PROPN
ejpam-4754	152	2	rouge	rouge	PROPN
ejpam-4754	152	3	,	,	PUNCT
ejpam-4754	152	4	3(16):35–43	3(16):35–43	NUM
ejpam-4754	152	5	,	,	PUNCT
ejpam-4754	152	6	1969	1969	NUM
ejpam-4754	152	7	.	.	PUNCT
ejpam-4754	153	1	[	[	X
ejpam-4754	153	2	14	14	NUM
ejpam-4754	153	3	]	]	X
ejpam-4754	153	4	wei	wei	PROPN
ejpam-4754	153	5	xue	xue	PROPN
ejpam-4754	153	6	,	,	PUNCT
ejpam-4754	153	7	junhong	junhong	PROPN
ejpam-4754	153	8	ren	ren	PROPN
ejpam-4754	153	9	,	,	PUNCT
ejpam-4754	153	10	xiao	xiao	PROPN
ejpam-4754	153	11	zheng	zheng	PROPN
ejpam-4754	153	12	,	,	PUNCT
ejpam-4754	153	13	zhi	zhi	PROPN
ejpam-4754	153	14	liu	liu	PROPN
ejpam-4754	153	15	,	,	PUNCT
ejpam-4754	153	16	and	and	CCONJ
ejpam-4754	153	17	yueyong	yueyong	PROPN
ejpam-4754	153	18	liang	liang	PROPN
ejpam-4754	153	19	.	.	PUNCT
ejpam-4754	154	1	a	a	DET
ejpam-4754	154	2	new	new	ADJ
ejpam-4754	154	3	dy	dy	NOUN
ejpam-4754	154	4	conjugate	conjugate	ADJ
ejpam-4754	154	5	gradient	gradient	NOUN
ejpam-4754	154	6	method	method	NOUN
ejpam-4754	154	7	and	and	CCONJ
ejpam-4754	154	8	applications	application	NOUN
ejpam-4754	154	9	to	to	PART
ejpam-4754	154	10	image	image	VERB
ejpam-4754	154	11	denoising	denoise	VERB
ejpam-4754	154	12	.	.	PUNCT
ejpam-4754	155	1	ieice	ieice	NOUN
ejpam-4754	155	2	transactions	transaction	NOUN
ejpam-4754	155	3	on	on	ADP
ejpam-4754	155	4	information	information	NOUN
ejpam-4754	155	5	and	and	CCONJ
ejpam-4754	155	6	systems	system	NOUN
ejpam-4754	155	7	,	,	PUNCT
ejpam-4754	155	8	101(12):2984–2990	101(12):2984–2990	NUM
ejpam-4754	155	9	,	,	PUNCT
ejpam-4754	155	10	2018	2018	NUM
ejpam-4754	155	11	.	.	PUNCT
ejpam-4754	156	1	[	[	X
ejpam-4754	156	2	15	15	NUM
ejpam-4754	156	3	]	]	X
ejpam-4754	156	4	gaohang	gaohang	PROPN
ejpam-4754	156	5	yu	yu	PROPN
ejpam-4754	156	6	,	,	PUNCT
ejpam-4754	156	7	liqun	liqun	PROPN
ejpam-4754	156	8	qi	qi	PROPN
ejpam-4754	156	9	,	,	PUNCT
ejpam-4754	156	10	yimin	yimin	PROPN
ejpam-4754	156	11	sun	sun	PROPN
ejpam-4754	156	12	,	,	PUNCT
ejpam-4754	156	13	and	and	CCONJ
ejpam-4754	156	14	yi	yi	PROPN
ejpam-4754	156	15	zhou	zhou	PROPN
ejpam-4754	156	16	.	.	PUNCT
ejpam-4754	157	1	impulse	impulse	ADJ
ejpam-4754	157	2	noise	noise	NOUN
ejpam-4754	157	3	removal	removal	NOUN
ejpam-4754	157	4	by	by	ADP
ejpam-4754	157	5	a	a	DET
ejpam-4754	157	6	nonmonotone	nonmonotone	NOUN
ejpam-4754	157	7	adaptive	adaptive	PROPN
ejpam-4754	157	8	gradient	gradient	NOUN
ejpam-4754	157	9	method	method	NOUN
ejpam-4754	157	10	.	.	PUNCT
ejpam-4754	158	1	signal	signal	NOUN
ejpam-4754	158	2	processing	processing	NOUN
ejpam-4754	158	3	,	,	PUNCT
ejpam-4754	158	4	90(10):2891–2897	90(10):2891–2897	NUM
ejpam-4754	158	5	,	,	PUNCT
ejpam-4754	158	6	2010	2010	NUM
ejpam-4754	158	7	.	.	PUNCT
ejpam-4754	159	1	[	[	X
ejpam-4754	159	2	16	16	NUM
ejpam-4754	159	3	]	]	X
ejpam-4754	159	4	g	g	PROPN
ejpam-4754	159	5	zoutendijk	zoutendijk	PROPN
ejpam-4754	159	6	.	.	PUNCT
ejpam-4754	160	1	nonlinear	nonlinear	ADJ
ejpam-4754	160	2	programming	programming	NOUN
ejpam-4754	160	3	,	,	PUNCT
ejpam-4754	160	4	computational	computational	ADJ
ejpam-4754	160	5	methods	method	NOUN
ejpam-4754	160	6	.	.	PUNCT
ejpam-4754	161	1	integer	integer	NOUN
ejpam-4754	161	2	and	and	CCONJ
ejpam-4754	161	3	nonlinear	nonlinear	ADJ
ejpam-4754	161	4	programming	programming	NOUN
ejpam-4754	161	5	,	,	PUNCT
ejpam-4754	161	6	pages	page	NOUN
ejpam-4754	161	7	37–86	37–86	NUM
ejpam-4754	161	8	,	,	PUNCT
ejpam-4754	161	9	1970	1970	NUM
ejpam-4754	161	10	.	.	PUNCT