id	sid	tid	token	lemma	pos
fcis-22596	1	1	frontiers	frontier	NOUN
fcis-22596	1	2	in	in	ADP
fcis-22596	1	3	computing	computing	NOUN
fcis-22596	1	4	and	and	CCONJ
fcis-22596	1	5	intelligent	intelligent	ADJ
fcis-22596	1	6	systems	system	NOUN
fcis-22596	1	7	issn	issn	VERB
fcis-22596	1	8	:	:	PUNCT
fcis-22596	1	9	2832	2832	NUM
fcis-22596	1	10	-	-	SYM
fcis-22596	1	11	6024	6024	NUM
fcis-22596	1	12	|	|	NOUN
fcis-22596	1	13	vol	vol	NOUN
fcis-22596	1	14	.	.	PROPN
fcis-22596	2	1	8	8	NUM
fcis-22596	2	2	,	,	PUNCT
fcis-22596	2	3	no	no	INTJ
fcis-22596	2	4	.	.	NOUN
fcis-22596	2	5	3	3	NUM
fcis-22596	2	6	,	,	PUNCT
fcis-22596	2	7	2024	2024	NUM
fcis-22596	2	8	25	25	NUM
fcis-22596	2	9	overview	overview	NOUN
fcis-22596	2	10	of	of	ADP
fcis-22596	2	11	trust‐region	trust‐region	NOUN
fcis-22596	2	12	methods	method	NOUN
fcis-22596	2	13	xinyao	xinyao	PROPN
fcis-22596	2	14	li	li	PROPN
fcis-22596	2	15	beijing	beijing	PROPN
fcis-22596	2	16	normal	normal	ADJ
fcis-22596	2	17	university	university	PROPN
fcis-22596	2	18	-	-	PUNCT
fcis-22596	2	19	hong	hong	PROPN
fcis-22596	2	20	kong	kong	PROPN
fcis-22596	2	21	baptist	baptist	PROPN
fcis-22596	2	22	university	university	PROPN
fcis-22596	2	23	united	united	PROPN
fcis-22596	2	24	international	international	PROPN
fcis-22596	2	25	college	college	PROPN
fcis-22596	2	26	.	.	PUNCT
fcis-22596	3	1	zhuhai	zhuhai	PROPN
fcis-22596	3	2	,	,	PUNCT
fcis-22596	3	3	guangdong	guangdong	PROPN
fcis-22596	3	4	,	,	PUNCT
fcis-22596	3	5	519085	519085	NUM
fcis-22596	3	6	,	,	PUNCT
fcis-22596	3	7	china	china	PROPN
fcis-22596	3	8	abstract	abstract	PROPN
fcis-22596	3	9	:	:	PUNCT
fcis-22596	3	10	the	the	DET
fcis-22596	3	11	trust	trust	NOUN
fcis-22596	3	12	-	-	PUNCT
fcis-22596	3	13	region	region	NOUN
fcis-22596	3	14	technique	technique	NOUN
fcis-22596	3	15	is	be	AUX
fcis-22596	3	16	an	an	DET
fcis-22596	3	17	optimization	optimization	NOUN
fcis-22596	3	18	algorithm	algorithm	NOUN
fcis-22596	3	19	for	for	ADP
fcis-22596	3	20	solving	solve	VERB
fcis-22596	3	21	multidimensional	multidimensional	ADJ
fcis-22596	3	22	nonlinear	nonlinear	ADJ
fcis-22596	3	23	optimization	optimization	NOUN
fcis-22596	3	24	complications	complication	NOUN
fcis-22596	3	25	.	.	PUNCT
fcis-22596	4	1	it	it	PRON
fcis-22596	4	2	is	be	AUX
fcis-22596	4	3	a	a	DET
fcis-22596	4	4	class	class	NOUN
fcis-22596	4	5	of	of	ADP
fcis-22596	4	6	derivative	derivative	NOUN
fcis-22596	4	7	-	-	PUNCT
fcis-22596	4	8	based	base	VERB
fcis-22596	4	9	optimization	optimization	NOUN
fcis-22596	4	10	approaches	approach	NOUN
fcis-22596	4	11	that	that	PRON
fcis-22596	4	12	relies	rely	VERB
fcis-22596	4	13	on	on	ADP
fcis-22596	4	14	information	information	NOUN
fcis-22596	4	15	about	about	ADP
fcis-22596	4	16	the	the	DET
fcis-22596	4	17	gradient	gradient	NOUN
fcis-22596	4	18	of	of	ADP
fcis-22596	4	19	the	the	DET
fcis-22596	4	20	objective	objective	ADJ
fcis-22596	4	21	function	function	NOUN
fcis-22596	4	22	and	and	CCONJ
fcis-22596	4	23	possibly	possibly	ADV
fcis-22596	4	24	hessians	hessians	PROPN
fcis-22596	4	25	.	.	PUNCT
fcis-22596	5	1	the	the	DET
fcis-22596	5	2	main	main	ADJ
fcis-22596	5	3	idea	idea	NOUN
fcis-22596	5	4	behind	behind	ADP
fcis-22596	5	5	the	the	DET
fcis-22596	5	6	trust	trust	NOUN
fcis-22596	5	7	-	-	PUNCT
fcis-22596	5	8	region	region	NOUN
fcis-22596	5	9	method	method	NOUN
fcis-22596	5	10	is	be	AUX
fcis-22596	5	11	to	to	PART
fcis-22596	5	12	remodel	remodel	VERB
fcis-22596	5	13	the	the	DET
fcis-22596	5	14	objective	objective	ADJ
fcis-22596	5	15	function	function	NOUN
fcis-22596	5	16	around	around	ADP
fcis-22596	5	17	the	the	DET
fcis-22596	5	18	present	present	ADJ
fcis-22596	5	19	iteration	iteration	NOUN
fcis-22596	5	20	solution	solution	NOUN
fcis-22596	5	21	of	of	ADP
fcis-22596	5	22	the	the	DET
fcis-22596	5	23	inner	inner	ADJ
fcis-22596	5	24	subproblem	subproblem	NOUN
fcis-22596	5	25	.	.	PUNCT
fcis-22596	6	1	the	the	DET
fcis-22596	6	2	confidence	confidence	NOUN
fcis-22596	6	3	region	region	NOUN
fcis-22596	6	4	is	be	AUX
fcis-22596	6	5	the	the	DET
fcis-22596	6	6	region	region	NOUN
fcis-22596	6	7	around	around	ADP
fcis-22596	6	8	the	the	DET
fcis-22596	6	9	present	present	ADJ
fcis-22596	6	10	iteration	iteration	NOUN
fcis-22596	6	11	where	where	SCONJ
fcis-22596	6	12	the	the	DET
fcis-22596	6	13	model	model	NOUN
fcis-22596	6	14	is	be	AUX
fcis-22596	6	15	expected	expect	VERB
fcis-22596	6	16	to	to	PART
fcis-22596	6	17	be	be	AUX
fcis-22596	6	18	accurate	accurate	ADJ
fcis-22596	6	19	.	.	PUNCT
fcis-22596	7	1	at	at	ADP
fcis-22596	7	2	each	each	DET
fcis-22596	7	3	iteration	iteration	NOUN
fcis-22596	7	4	,	,	PUNCT
fcis-22596	7	5	the	the	DET
fcis-22596	7	6	trust	trust	NOUN
fcis-22596	7	7	region	region	NOUN
fcis-22596	7	8	technique	technique	NOUN
fcis-22596	7	9	uses	use	VERB
fcis-22596	7	10	a	a	DET
fcis-22596	7	11	quadratic	quadratic	ADJ
fcis-22596	7	12	model	model	NOUN
fcis-22596	7	13	to	to	PART
fcis-22596	7	14	estimate	estimate	VERB
fcis-22596	7	15	the	the	DET
fcis-22596	7	16	objective	objective	ADJ
fcis-22596	7	17	function	function	NOUN
fcis-22596	7	18	locally	locally	ADV
fcis-22596	7	19	(	(	PUNCT
fcis-22596	7	20	yuan	yuan	NOUN
fcis-22596	7	21	,	,	PUNCT
fcis-22596	7	22	2019	2019	NUM
fcis-22596	7	23	)	)	PUNCT
fcis-22596	7	24	.	.	PUNCT
fcis-22596	8	1	this	this	DET
fcis-22596	8	2	model	model	NOUN
fcis-22596	8	3	is	be	AUX
fcis-22596	8	4	based	base	VERB
fcis-22596	8	5	on	on	ADP
fcis-22596	8	6	the	the	DET
fcis-22596	8	7	current	current	ADJ
fcis-22596	8	8	iteration	iteration	NOUN
fcis-22596	8	9	and	and	CCONJ
fcis-22596	8	10	the	the	DET
fcis-22596	8	11	information	information	NOUN
fcis-22596	8	12	about	about	ADP
fcis-22596	8	13	the	the	DET
fcis-22596	8	14	gradient	gradient	NOUN
fcis-22596	8	15	and	and	CCONJ
fcis-22596	8	16	hessian	hessian	NOUN
fcis-22596	8	17	.	.	PUNCT
fcis-22596	9	1	the	the	DET
fcis-22596	9	2	confidence	confidence	NOUN
fcis-22596	9	3	region	region	NOUN
fcis-22596	9	4	limits	limit	VERB
fcis-22596	9	5	the	the	DET
fcis-22596	9	6	distance	distance	NOUN
fcis-22596	9	7	the	the	DET
fcis-22596	9	8	algorithm	algorithm	NOUN
fcis-22596	9	9	can	can	AUX
fcis-22596	9	10	take	take	VERB
fcis-22596	9	11	from	from	ADP
fcis-22596	9	12	the	the	DET
fcis-22596	9	13	current	current	ADJ
fcis-22596	9	14	iteration	iteration	NOUN
fcis-22596	9	15	to	to	PART
fcis-22596	9	16	find	find	VERB
fcis-22596	9	17	the	the	DET
fcis-22596	9	18	next	next	ADJ
fcis-22596	9	19	one	one	NUM
fcis-22596	9	20	.	.	PUNCT
fcis-22596	10	1	the	the	DET
fcis-22596	10	2	size	size	NOUN
fcis-22596	10	3	of	of	ADP
fcis-22596	10	4	the	the	DET
fcis-22596	10	5	trust	trust	NOUN
fcis-22596	10	6	region	region	NOUN
fcis-22596	10	7	is	be	AUX
fcis-22596	10	8	adjusted	adjust	VERB
fcis-22596	10	9	dynamically	dynamically	ADV
fcis-22596	10	10	based	base	VERB
fcis-22596	10	11	on	on	ADP
fcis-22596	10	12	the	the	DET
fcis-22596	10	13	arrangement	arrangement	NOUN
fcis-22596	10	14	between	between	ADP
fcis-22596	10	15	the	the	DET
fcis-22596	10	16	model	model	NOUN
fcis-22596	10	17	and	and	CCONJ
fcis-22596	10	18	the	the	DET
fcis-22596	10	19	actual	actual	ADJ
fcis-22596	10	20	performance	performance	NOUN
fcis-22596	10	21	values	value	NOUN
fcis-22596	10	22	.	.	PUNCT
fcis-22596	11	1	keywords	keyword	NOUN
fcis-22596	11	2	:	:	PUNCT
fcis-22596	11	3	the	the	DET
fcis-22596	11	4	trust	trust	NOUN
fcis-22596	11	5	-	-	PUNCT
fcis-22596	11	6	region	region	NOUN
fcis-22596	11	7	technique	technique	NOUN
fcis-22596	11	8	;	;	PUNCT
fcis-22596	11	9	performance	performance	NOUN
fcis-22596	11	10	values	value	NOUN
fcis-22596	11	11	;	;	PUNCT
fcis-22596	11	12	quadratic	quadratic	ADJ
fcis-22596	11	13	model	model	NOUN
fcis-22596	11	14	.	.	PUNCT
fcis-22596	12	1	1	1	X
fcis-22596	12	2	.	.	X
fcis-22596	12	3	introduction	introduction	NOUN
fcis-22596	12	4	the	the	DET
fcis-22596	12	5	trust	trust	NOUN
fcis-22596	12	6	-	-	PUNCT
fcis-22596	12	7	domain	domain	NOUN
fcis-22596	12	8	method	method	NOUN
fcis-22596	12	9	aims	aim	VERB
fcis-22596	12	10	to	to	PART
fcis-22596	12	11	find	find	VERB
fcis-22596	12	12	a	a	DET
fcis-22596	12	13	step	step	NOUN
fcis-22596	12	14	direction	direction	NOUN
fcis-22596	12	15	that	that	PRON
fcis-22596	12	16	will	will	AUX
fcis-22596	12	17	minimize	minimize	VERB
fcis-22596	12	18	the	the	DET
fcis-22596	12	19	quadratic	quadratic	ADJ
fcis-22596	12	20	model	model	NOUN
fcis-22596	12	21	in	in	ADP
fcis-22596	12	22	the	the	DET
fcis-22596	12	23	trust	trust	NOUN
fcis-22596	12	24	domain	domain	NOUN
fcis-22596	12	25	,	,	PUNCT
fcis-22596	12	26	subject	subject	ADJ
fcis-22596	12	27	to	to	ADP
fcis-22596	12	28	certain	certain	ADJ
fcis-22596	12	29	constraints	constraint	NOUN
fcis-22596	12	30	;	;	PUNCT
fcis-22596	12	31	this	this	DET
fcis-22596	12	32	sub	sub	NOUN
fcis-22596	12	33	problem	problem	NOUN
fcis-22596	12	34	is	be	AUX
fcis-22596	12	35	usually	usually	ADV
fcis-22596	12	36	solved	solve	VERB
fcis-22596	12	37	by	by	ADP
fcis-22596	12	38	methods	method	NOUN
fcis-22596	12	39	such	such	ADJ
fcis-22596	12	40	as	as	ADP
fcis-22596	12	41	the	the	DET
fcis-22596	12	42	conjugate	conjugate	ADJ
fcis-22596	12	43	gradient	gradient	NOUN
fcis-22596	12	44	technique	technique	NOUN
fcis-22596	12	45	or	or	CCONJ
fcis-22596	12	46	the	the	DET
fcis-22596	12	47	newton	newton	PROPN
fcis-22596	12	48	method	method	NOUN
fcis-22596	12	49	,	,	PUNCT
fcis-22596	12	50	the	the	DET
fcis-22596	12	51	result	result	NOUN
fcis-22596	12	52	of	of	ADP
fcis-22596	12	53	the	the	PRON
fcis-22596	12	54	.	.	PUNCT
fcis-22596	13	1	the	the	DET
fcis-22596	13	2	step	step	NOUN
fcis-22596	13	3	instruction	instruction	NOUN
fcis-22596	13	4	is	be	AUX
fcis-22596	13	5	then	then	ADV
fcis-22596	13	6	used	use	VERB
fcis-22596	13	7	to	to	PART
fcis-22596	13	8	update	update	VERB
fcis-22596	13	9	the	the	DET
fcis-22596	13	10	current	current	ADJ
fcis-22596	13	11	iteration	iteration	NOUN
fcis-22596	13	12	,	,	PUNCT
fcis-22596	13	13	and	and	CCONJ
fcis-22596	13	14	the	the	DET
fcis-22596	13	15	process	process	NOUN
fcis-22596	13	16	is	be	AUX
fcis-22596	13	17	repeated	repeat	VERB
fcis-22596	13	18	until	until	SCONJ
fcis-22596	13	19	the	the	DET
fcis-22596	13	20	stop	stop	NOUN
fcis-22596	13	21	criterion	criterion	NOUN
fcis-22596	13	22	is	be	AUX
fcis-22596	13	23	met	meet	VERB
fcis-22596	13	24	.	.	PUNCT
fcis-22596	14	1	the	the	DET
fcis-22596	14	2	trust	trust	NOUN
fcis-22596	14	3	region	region	NOUN
fcis-22596	14	4	technique	technique	NOUN
fcis-22596	14	5	is	be	AUX
fcis-22596	14	6	known	know	VERB
fcis-22596	14	7	for	for	ADP
fcis-22596	14	8	solving	solve	VERB
fcis-22596	14	9	nonconvex	nonconvex	NOUN
fcis-22596	14	10	bad	bad	ADJ
fcis-22596	14	11	-	-	PUNCT
fcis-22596	14	12	condition	condition	NOUN
fcis-22596	14	13	optimization	optimization	NOUN
fcis-22596	14	14	difficulties	difficulty	NOUN
fcis-22596	14	15	.	.	PUNCT
fcis-22596	15	1	it	it	PRON
fcis-22596	15	2	balances	balance	VERB
fcis-22596	15	3	the	the	DET
fcis-22596	15	4	objective	objective	ADJ
fcis-22596	15	5	task	task	NOUN
fcis-22596	15	6	of	of	ADP
fcis-22596	15	7	finding	find	VERB
fcis-22596	15	8	a	a	DET
fcis-22596	15	9	search	search	NOUN
fcis-22596	15	10	area	area	NOUN
fcis-22596	15	11	and	and	CCONJ
fcis-22596	15	12	implementing	implement	VERB
fcis-22596	15	13	a	a	DET
fcis-22596	15	14	local	local	ADJ
fcis-22596	15	15	strategy	strategy	NOUN
fcis-22596	15	16	.	.	PUNCT
fcis-22596	16	1	it	it	PRON
fcis-22596	16	2	has	have	AUX
fcis-22596	16	3	been	be	AUX
fcis-22596	16	4	widely	widely	ADV
fcis-22596	16	5	used	use	VERB
fcis-22596	16	6	in	in	ADP
fcis-22596	16	7	machine	machine	NOUN
fcis-22596	16	8	learning	learning	NOUN
fcis-22596	16	9	,	,	PUNCT
fcis-22596	16	10	computer	computer	NOUN
fcis-22596	16	11	vision	vision	NOUN
fcis-22596	16	12	,	,	PUNCT
fcis-22596	16	13	and	and	CCONJ
fcis-22596	16	14	industrial	industrial	ADJ
fcis-22596	16	15	design	design	NOUN
fcis-22596	16	16	optimization	optimization	NOUN
fcis-22596	16	17	(	(	PUNCT
fcis-22596	16	18	more	more	ADJ
fcis-22596	16	19	,	,	PUNCT
fcis-22596	16	20	2020	2020	NUM
fcis-22596	16	21	)	)	PUNCT
fcis-22596	16	22	.	.	PUNCT
fcis-22596	17	1	2	2	X
fcis-22596	17	2	.	.	X
fcis-22596	17	3	methodology	methodology	NOUN
fcis-22596	17	4	and	and	CCONJ
fcis-22596	17	5	basic	basic	ADJ
fcis-22596	17	6	theory	theory	NOUN
fcis-22596	17	7	of	of	ADP
fcis-22596	17	8	the	the	DET
fcis-22596	17	9	trust	trust	NOUN
fcis-22596	17	10	region	region	NOUN
fcis-22596	17	11	method	method	NOUN
fcis-22596	17	12	.	.	PUNCT
fcis-22596	18	1	the	the	DET
fcis-22596	18	2	trust	trust	NOUN
fcis-22596	18	3	region	region	NOUN
fcis-22596	18	4	technique	technique	NOUN
fcis-22596	18	5	is	be	AUX
fcis-22596	18	6	a	a	DET
fcis-22596	18	7	robust	robust	ADJ
fcis-22596	18	8	optimization	optimization	NOUN
fcis-22596	18	9	algorithm	algorithm	NOUN
fcis-22596	18	10	for	for	ADP
fcis-22596	18	11	answering	answer	VERB
fcis-22596	18	12	multidimensional	multidimensional	ADJ
fcis-22596	18	13	nonlinear	nonlinear	ADJ
fcis-22596	18	14	optimization	optimization	NOUN
fcis-22596	18	15	problems	problem	NOUN
fcis-22596	18	16	.	.	PUNCT
fcis-22596	19	1	it	it	PRON
fcis-22596	19	2	is	be	AUX
fcis-22596	19	3	beneficial	beneficial	ADJ
fcis-22596	19	4	for	for	ADP
fcis-22596	19	5	problems	problem	NOUN
fcis-22596	19	6	where	where	SCONJ
fcis-22596	19	7	the	the	DET
fcis-22596	19	8	objective	objective	ADJ
fcis-22596	19	9	function	function	NOUN
fcis-22596	19	10	is	be	AUX
fcis-22596	19	11	nonconvex	nonconvex	NOUN
fcis-22596	19	12	or	or	CCONJ
fcis-22596	19	13	irregular	irregular	ADJ
fcis-22596	19	14	.	.	PUNCT
fcis-22596	20	1	this	this	DET
fcis-22596	20	2	article	article	NOUN
fcis-22596	20	3	explores	explore	VERB
fcis-22596	20	4	the	the	DET
fcis-22596	20	5	methodology	methodology	NOUN
fcis-22596	20	6	and	and	CCONJ
fcis-22596	20	7	basic	basic	ADJ
fcis-22596	20	8	principles	principle	NOUN
fcis-22596	20	9	behind	behind	ADP
fcis-22596	20	10	the	the	DET
fcis-22596	20	11	confidence	confidence	NOUN
fcis-22596	20	12	-	-	PUNCT
fcis-22596	20	13	space	space	NOUN
fcis-22596	20	14	approach	approach	NOUN
fcis-22596	20	15	.	.	PUNCT
fcis-22596	21	1	2.1	2.1	NUM
fcis-22596	21	2	.	.	PUNCT
fcis-22596	21	3	methodology	methodology	NOUN
fcis-22596	21	4	the	the	DET
fcis-22596	21	5	trust	trust	NOUN
fcis-22596	21	6	-	-	PUNCT
fcis-22596	21	7	region	region	NOUN
fcis-22596	21	8	method	method	NOUN
fcis-22596	21	9	follows	follow	VERB
fcis-22596	21	10	an	an	DET
fcis-22596	21	11	iterative	iterative	NOUN
fcis-22596	21	12	method	method	NOUN
fcis-22596	21	13	to	to	PART
fcis-22596	21	14	find	find	VERB
fcis-22596	21	15	the	the	DET
fcis-22596	21	16	optimal	optimal	ADJ
fcis-22596	21	17	result	result	NOUN
fcis-22596	21	18	.	.	PUNCT
fcis-22596	22	1	the	the	DET
fcis-22596	22	2	main	main	ADJ
fcis-22596	22	3	steps	step	NOUN
fcis-22596	22	4	involved	involve	VERB
fcis-22596	22	5	are	be	AUX
fcis-22596	22	6	as	as	SCONJ
fcis-22596	22	7	follows	follow	VERB
fcis-22596	22	8	.	.	PUNCT
fcis-22596	23	1	1	1	X
fcis-22596	23	2	)	)	PUNCT
fcis-22596	23	3	quadratic	quadratic	ADJ
fcis-22596	23	4	model	model	NOUN
fcis-22596	23	5	construction	construction	NOUN
fcis-22596	23	6	at	at	ADP
fcis-22596	23	7	each	each	DET
fcis-22596	23	8	iteration	iteration	NOUN
fcis-22596	23	9	,	,	PUNCT
fcis-22596	23	10	the	the	DET
fcis-22596	23	11	trust	trust	NOUN
fcis-22596	23	12	-	-	PUNCT
fcis-22596	23	13	region	region	NOUN
fcis-22596	23	14	method	method	NOUN
fcis-22596	23	15	builds	build	VERB
fcis-22596	23	16	a	a	DET
fcis-22596	23	17	local	local	ADJ
fcis-22596	23	18	quadratic	quadratic	ADJ
fcis-22596	23	19	model	model	NOUN
fcis-22596	23	20	of	of	ADP
fcis-22596	23	21	the	the	DET
fcis-22596	23	22	objective	objective	ADJ
fcis-22596	23	23	function	function	NOUN
fcis-22596	23	24	around	around	ADP
fcis-22596	23	25	the	the	DET
fcis-22596	23	26	current	current	ADJ
fcis-22596	23	27	iteration	iteration	NOUN
fcis-22596	23	28	.	.	PUNCT
fcis-22596	24	1	these	these	DET
fcis-22596	24	2	models	model	NOUN
fcis-22596	24	3	are	be	AUX
fcis-22596	24	4	built	build	VERB
fcis-22596	24	5	based	base	VERB
fcis-22596	24	6	on	on	ADP
fcis-22596	24	7	the	the	DET
fcis-22596	24	8	current	current	ADJ
fcis-22596	24	9	iteration	iteration	NOUN
fcis-22596	24	10	,	,	PUNCT
fcis-22596	24	11	the	the	DET
fcis-22596	24	12	gradient	gradient	NOUN
fcis-22596	24	13	,	,	PUNCT
fcis-22596	24	14	and	and	CCONJ
fcis-22596	24	15	possibly	possibly	ADV
fcis-22596	24	16	the	the	DET
fcis-22596	24	17	hessian	hessian	NOUN
fcis-22596	24	18	of	of	ADP
fcis-22596	24	19	the	the	DET
fcis-22596	24	20	objective	objective	ADJ
fcis-22596	24	21	function	function	NOUN
fcis-22596	24	22	.	.	PUNCT
fcis-22596	25	1	the	the	DET
fcis-22596	25	2	quadratic	quadratic	ADJ
fcis-22596	25	3	model	model	NOUN
fcis-22596	25	4	approximates	approximate	VERB
fcis-22596	25	5	the	the	DET
fcis-22596	25	6	objective	objective	ADJ
fcis-22596	25	7	function	function	NOUN
fcis-22596	25	8	in	in	ADP
fcis-22596	25	9	the	the	DET
fcis-22596	25	10	local	local	ADJ
fcis-22596	25	11	area	area	NOUN
fcis-22596	25	12	(	(	PUNCT
fcis-22596	25	13	yuan	yuan	NOUN
fcis-22596	25	14	,	,	PUNCT
fcis-22596	25	15	2019	2019	NUM
fcis-22596	25	16	)	)	PUNCT
fcis-22596	25	17	.	.	PUNCT
fcis-22596	26	1	2	2	X
fcis-22596	26	2	)	)	PUNCT
fcis-22596	26	3	trust	trust	NOUN
fcis-22596	26	4	region	region	NOUN
fcis-22596	26	5	definition	definition	NOUN
fcis-22596	26	6	:	:	PUNCT
fcis-22596	26	7	a	a	DET
fcis-22596	26	8	trust	trust	NOUN
fcis-22596	26	9	region	region	NOUN
fcis-22596	26	10	is	be	AUX
fcis-22596	26	11	around	around	ADP
fcis-22596	26	12	the	the	DET
fcis-22596	26	13	existing	exist	VERB
fcis-22596	26	14	iteration	iteration	NOUN
fcis-22596	26	15	where	where	SCONJ
fcis-22596	26	16	the	the	DET
fcis-22596	26	17	quadratic	quadratic	ADJ
fcis-22596	26	18	model	model	NOUN
fcis-22596	26	19	is	be	AUX
fcis-22596	26	20	expected	expect	VERB
fcis-22596	26	21	to	to	PART
fcis-22596	26	22	be	be	AUX
fcis-22596	26	23	accurate	accurate	ADJ
fcis-22596	26	24	.	.	PUNCT
fcis-22596	27	1	overall	overall	ADV
fcis-22596	27	2	,	,	PUNCT
fcis-22596	27	3	the	the	DET
fcis-22596	27	4	size	size	NOUN
fcis-22596	27	5	of	of	ADP
fcis-22596	27	6	the	the	DET
fcis-22596	27	7	trust	trust	NOUN
fcis-22596	27	8	region	region	NOUN
fcis-22596	27	9	depends	depend	VERB
fcis-22596	27	10	on	on	ADP
fcis-22596	27	11	the	the	DET
fcis-22596	27	12	confidence	confidence	NOUN
fcis-22596	27	13	-	-	PUNCT
fcis-22596	27	14	zone	zone	NOUN
fcis-22596	27	15	radius	radius	NOUN
fcis-22596	27	16	,	,	PUNCT
fcis-22596	27	17	which	which	PRON
fcis-22596	27	18	is	be	AUX
fcis-22596	27	19	appropriately	appropriately	ADV
fcis-22596	27	20	modified	modify	VERB
fcis-22596	27	21	during	during	ADP
fcis-22596	27	22	the	the	DET
fcis-22596	27	23	optimization	optimization	NOUN
fcis-22596	27	24	process	process	NOUN
fcis-22596	27	25	.	.	PUNCT
fcis-22596	28	1	the	the	DET
fcis-22596	28	2	trust	trust	NOUN
fcis-22596	28	3	region	region	NOUN
fcis-22596	28	4	acts	act	VERB
fcis-22596	28	5	as	as	ADP
fcis-22596	28	6	a	a	DET
fcis-22596	28	7	step	step	NOUN
fcis-22596	28	8	size	size	NOUN
fcis-22596	28	9	constraint	constraint	NOUN
fcis-22596	28	10	and	and	CCONJ
fcis-22596	28	11	ensures	ensure	VERB
fcis-22596	28	12	the	the	DET
fcis-22596	28	13	algorithm	algorithm	NOUN
fcis-22596	28	14	does	do	AUX
fcis-22596	28	15	not	not	PART
fcis-22596	28	16	deviate	deviate	VERB
fcis-22596	28	17	too	too	ADV
fcis-22596	28	18	far	far	ADV
fcis-22596	28	19	from	from	ADP
fcis-22596	28	20	the	the	DET
fcis-22596	28	21	current	current	ADJ
fcis-22596	28	22	iteration	iteration	NOUN
fcis-22596	28	23	.	.	PUNCT
fcis-22596	29	1	3	3	X
fcis-22596	29	2	)	)	PUNCT
fcis-22596	29	3	sub	sub	ADJ
fcis-22596	29	4	-	-	NOUN
fcis-22596	29	5	problem	problem	ADJ
fcis-22596	29	6	formulation	formulation	NOUN
fcis-22596	29	7	:	:	PUNCT
fcis-22596	29	8	in	in	ADP
fcis-22596	29	9	the	the	DET
fcis-22596	29	10	trust	trust	NOUN
fcis-22596	29	11	region	region	NOUN
fcis-22596	29	12	,	,	PUNCT
fcis-22596	29	13	a	a	DET
fcis-22596	29	14	subproblem	subproblem	NOUN
fcis-22596	29	15	is	be	AUX
fcis-22596	29	16	formulated	formulate	VERB
fcis-22596	29	17	to	to	PART
fcis-22596	29	18	find	find	VERB
fcis-22596	29	19	the	the	DET
fcis-22596	29	20	step	step	NOUN
fcis-22596	29	21	direction	direction	NOUN
fcis-22596	29	22	that	that	PRON
fcis-22596	29	23	minimizes	minimize	VERB
fcis-22596	29	24	the	the	DET
fcis-22596	29	25	quadratic	quadratic	ADJ
fcis-22596	29	26	model	model	NOUN
fcis-22596	29	27	under	under	ADP
fcis-22596	29	28	the	the	DET
fcis-22596	29	29	confidence	confidence	NOUN
fcis-22596	29	30	-	-	PUNCT
fcis-22596	29	31	domain	domain	NOUN
fcis-22596	29	32	constraint	constraint	NOUN
fcis-22596	29	33	.	.	PUNCT
fcis-22596	30	1	this	this	DET
fcis-22596	30	2	subproblem	subproblem	NOUN
fcis-22596	30	3	can	can	AUX
fcis-22596	30	4	be	be	AUX
fcis-22596	30	5	expressed	express	VERB
fcis-22596	30	6	as	as	ADP
fcis-22596	30	7	a	a	DET
fcis-22596	30	8	problem	problem	NOUN
fcis-22596	30	9	with	with	ADP
fcis-22596	30	10	enhanced	enhanced	ADJ
fcis-22596	30	11	optimization	optimization	NOUN
fcis-22596	30	12	or	or	CCONJ
fcis-22596	30	13	an	an	DET
fcis-22596	30	14	unconstrained	unconstrained	ADJ
fcis-22596	30	15	issue	issue	NOUN
fcis-22596	30	16	with	with	ADP
fcis-22596	30	17	a	a	DET
fcis-22596	30	18	penalty	penalty	NOUN
fcis-22596	30	19	word	word	NOUN
fcis-22596	30	20	.	.	PUNCT
fcis-22596	31	1	different	different	ADJ
fcis-22596	31	2	methods	method	NOUN
fcis-22596	31	3	can	can	AUX
fcis-22596	31	4	be	be	AUX
fcis-22596	31	5	used	use	VERB
fcis-22596	31	6	to	to	PART
fcis-22596	31	7	solve	solve	VERB
fcis-22596	31	8	the	the	DET
fcis-22596	31	9	sub	sub	NOUN
fcis-22596	31	10	-	-	NOUN
fcis-22596	31	11	problem	problem	NOUN
fcis-22596	31	12	,	,	PUNCT
fcis-22596	31	13	such	such	ADJ
fcis-22596	31	14	as	as	ADP
fcis-22596	31	15	the	the	DET
fcis-22596	31	16	conjugate	conjugate	ADJ
fcis-22596	31	17	gradient	gradient	NOUN
fcis-22596	31	18	method	method	NOUN
fcis-22596	31	19	or	or	CCONJ
fcis-22596	31	20	newton	newton	PROPN
fcis-22596	31	21	's	's	PART
fcis-22596	31	22	method	method	NOUN
fcis-22596	31	23	.	.	PUNCT
fcis-22596	32	1	4	4	NUM
fcis-22596	32	2	)	)	PUNCT
fcis-22596	32	3	step	step	NOUN
fcis-22596	32	4	direction	direction	NOUN
fcis-22596	32	5	update	update	NOUN
fcis-22596	32	6	:	:	PUNCT
fcis-22596	32	7	once	once	SCONJ
fcis-22596	32	8	the	the	DET
fcis-22596	32	9	step	step	NOUN
fcis-22596	32	10	direction	direction	NOUN
fcis-22596	32	11	is	be	AUX
fcis-22596	32	12	obtained	obtain	VERB
fcis-22596	32	13	from	from	ADP
fcis-22596	32	14	the	the	DET
fcis-22596	32	15	result	result	NOUN
fcis-22596	32	16	of	of	ADP
fcis-22596	32	17	the	the	DET
fcis-22596	32	18	sub	sub	NOUN
fcis-22596	32	19	-	-	NOUN
fcis-22596	32	20	problem	problem	NOUN
fcis-22596	32	21	,	,	PUNCT
fcis-22596	32	22	it	it	PRON
fcis-22596	32	23	is	be	AUX
fcis-22596	32	24	used	use	VERB
fcis-22596	32	25	to	to	PART
fcis-22596	32	26	inform	inform	VERB
fcis-22596	32	27	the	the	DET
fcis-22596	32	28	current	current	ADJ
fcis-22596	32	29	iteration	iteration	NOUN
fcis-22596	32	30	.	.	PUNCT
fcis-22596	33	1	the	the	DET
fcis-22596	33	2	step	step	NOUN
fcis-22596	33	3	size	size	NOUN
fcis-22596	33	4	is	be	AUX
fcis-22596	33	5	determined	determine	VERB
fcis-22596	33	6	by	by	ADP
fcis-22596	33	7	minimizing	minimize	VERB
fcis-22596	33	8	the	the	DET
fcis-22596	33	9	objective	objective	ADJ
fcis-22596	33	10	function	function	NOUN
fcis-22596	33	11	in	in	ADP
fcis-22596	33	12	the	the	DET
fcis-22596	33	13	trust	trust	NOUN
fcis-22596	33	14	domain	domain	NOUN
fcis-22596	33	15	and	and	CCONJ
fcis-22596	33	16	the	the	DET
fcis-22596	33	17	arrangement	arrangement	NOUN
fcis-22596	33	18	between	between	ADP
fcis-22596	33	19	the	the	DET
fcis-22596	33	20	model	model	NOUN
fcis-22596	33	21	and	and	CCONJ
fcis-22596	33	22	the	the	DET
fcis-22596	33	23	definite	definite	ADJ
fcis-22596	33	24	functional	functional	ADJ
fcis-22596	33	25	values	value	NOUN
fcis-22596	33	26	.	.	PUNCT
fcis-22596	34	1	another	another	DET
fcis-22596	34	2	iterate	iterate	NOUN
fcis-22596	34	3	is	be	AUX
fcis-22596	34	4	performed	perform	VERB
fcis-22596	34	5	by	by	ADP
fcis-22596	34	6	taking	take	VERB
fcis-22596	34	7	one	one	NUM
fcis-22596	34	8	step	step	NOUN
fcis-22596	34	9	in	in	ADP
fcis-22596	34	10	the	the	DET
fcis-22596	34	11	specified	specified	ADJ
fcis-22596	34	12	direction	direction	NOUN
fcis-22596	34	13	(	(	PUNCT
fcis-22596	34	14	more	more	ADJ
fcis-22596	34	15	,	,	PUNCT
fcis-22596	34	16	2020	2020	NUM
fcis-22596	34	17	)	)	PUNCT
fcis-22596	34	18	.	.	PUNCT
fcis-22596	35	1	5	5	X
fcis-22596	35	2	)	)	PUNCT
fcis-22596	35	3	iterative	iterative	NOUN
fcis-22596	35	4	process	process	NOUN
fcis-22596	35	5	:	:	PUNCT
fcis-22596	35	6	they	they	PRON
fcis-22596	35	7	repeat	repeat	VERB
fcis-22596	35	8	constructing	construct	VERB
fcis-22596	35	9	a	a	DET
fcis-22596	35	10	quadratic	quadratic	ADJ
fcis-22596	35	11	model	model	NOUN
fcis-22596	35	12	,	,	PUNCT
fcis-22596	35	13	defining	define	VERB
fcis-22596	35	14	a	a	DET
fcis-22596	35	15	confidence	confidence	NOUN
fcis-22596	35	16	region	region	NOUN
fcis-22596	35	17	,	,	PUNCT
fcis-22596	35	18	formulating	formulate	VERB
fcis-22596	35	19	a	a	DET
fcis-22596	35	20	sub	sub	NOUN
fcis-22596	35	21	-	-	NOUN
fcis-22596	35	22	problem	problem	NOUN
fcis-22596	35	23	,	,	PUNCT
fcis-22596	35	24	and	and	CCONJ
fcis-22596	35	25	iterating	iterate	VERB
fcis-22596	35	26	until	until	SCONJ
fcis-22596	35	27	the	the	DET
fcis-22596	35	28	ending	end	VERB
fcis-22596	35	29	principles	principle	NOUN
fcis-22596	35	30	are	be	AUX
fcis-22596	35	31	met	meet	VERB
fcis-22596	35	32	.	.	PUNCT
fcis-22596	36	1	stopping	stop	VERB
fcis-22596	36	2	principles	principle	NOUN
fcis-22596	36	3	can	can	AUX
fcis-22596	36	4	be	be	AUX
fcis-22596	36	5	based	base	VERB
fcis-22596	36	6	on	on	ADP
fcis-22596	36	7	achieving	achieve	VERB
fcis-22596	36	8	a	a	DET
fcis-22596	36	9	certain	certain	ADJ
fcis-22596	36	10	tolerance	tolerance	NOUN
fcis-22596	36	11	level	level	NOUN
fcis-22596	36	12	,	,	PUNCT
fcis-22596	36	13	number	number	NOUN
fcis-22596	36	14	of	of	ADP
fcis-22596	36	15	iterations	iteration	NOUN
fcis-22596	36	16	,	,	PUNCT
fcis-22596	36	17	or	or	CCONJ
fcis-22596	36	18	convergence	convergence	NOUN
fcis-22596	36	19	on	on	ADP
fcis-22596	36	20	other	other	ADJ
fcis-22596	36	21	standards	standard	NOUN
fcis-22596	36	22	.	.	PUNCT
fcis-22596	37	1	the	the	DET
fcis-22596	37	2	trust	trust	NOUN
fcis-22596	37	3	-	-	PUNCT
fcis-22596	37	4	region	region	NOUN
fcis-22596	37	5	approach	approach	NOUN
fcis-22596	37	6	can	can	AUX
fcis-22596	37	7	be	be	AUX
fcis-22596	37	8	brief	brief	ADJ
fcis-22596	37	9	as	as	SCONJ
fcis-22596	37	10	follows	follow	VERB
fcis-22596	37	11	;	;	PUNCT
fcis-22596	37	12	initialization	initialization	NOUN
fcis-22596	37	13	:	:	PUNCT
fcis-22596	37	14	select	select	ADJ
fcis-22596	37	15	initial	initial	ADJ
fcis-22596	37	16	dimensions	dimension	NOUN
fcis-22596	37	17	for	for	ADP
fcis-22596	37	18	the	the	DET
fcis-22596	37	19	optimization	optimization	NOUN
fcis-22596	37	20	variable	variable	NOUN
fcis-22596	37	21	.	.	PUNCT
fcis-22596	38	1	define	define	VERB
fcis-22596	38	2	the	the	DET
fcis-22596	38	3	initial	initial	ADJ
fcis-22596	38	4	trust	trust	NOUN
fcis-22596	38	5	zone	zone	NOUN
fcis-22596	38	6	radius	radius	NOUN
fcis-22596	38	7	.	.	PUNCT
fcis-22596	39	1	update	update	NOUN
fcis-22596	39	2	rule	rule	NOUN
fcis-22596	39	3	:	:	PUNCT
fcis-22596	39	4	update	update	VERB
fcis-22596	39	5	the	the	DET
fcis-22596	39	6	iterate	iterate	NOUN
fcis-22596	39	7	xₖ₊₁	xₖ₊₁	NOUN
fcis-22596	39	8	based	base	VERB
fcis-22596	39	9	on	on	ADP
fcis-22596	39	10	the	the	DET
fcis-22596	39	11	step	step	NOUN
fcis-22596	39	12	pₖ	pₖ	NOUN
fcis-22596	39	13	:	:	PUNCT
fcis-22596	39	14	xₖ₊₁	xₖ₊₁	X
fcis-22596	39	15	=	=	PUNCT
fcis-22596	39	16	xₖ	xₖ	X
fcis-22596	40	1	+	+	CCONJ
fcis-22596	40	2	pₖ	pₖ	AUX
fcis-22596	40	3	solve	solve	VERB
fcis-22596	40	4	the	the	DET
fcis-22596	40	5	trust	trust	NOUN
fcis-22596	40	6	-	-	PUNCT
fcis-22596	40	7	region	region	NOUN
fcis-22596	40	8	sub	sub	NOUN
fcis-22596	40	9	-	-	NOUN
fcis-22596	40	10	problem	problem	NOUN
fcis-22596	40	11	:	:	PUNCT
fcis-22596	40	12	minimize	minimize	VERB
fcis-22596	40	13	the	the	DET
fcis-22596	40	14	quadratic	quadratic	ADJ
fcis-22596	40	15	model	model	NOUN
fcis-22596	40	16	within	within	ADP
fcis-22596	40	17	the	the	DET
fcis-22596	40	18	trust	trust	NOUN
fcis-22596	40	19	region	region	NOUN
fcis-22596	40	20	:	:	PUNCT
fcis-22596	40	21	min	min	PROPN
fcis-22596	40	22	mₖ(p	mₖ(p	PROPN
fcis-22596	40	23	)	)	PUNCT
fcis-22596	40	24	=	=	SYM
fcis-22596	40	25	f(xₖ	f(xₖ	NOUN
fcis-22596	40	26	)	)	PUNCT
fcis-22596	40	27	+	+	CCONJ
fcis-22596	40	28	f(xₖ)ᵀp	f(xₖ)ᵀp	NOUN
fcis-22596	40	29	+	+	CCONJ
fcis-22596	40	30	½pᵀbₖp	½pᵀbₖp	ADJ
fcis-22596	40	31	subject	subject	ADJ
fcis-22596	40	32	to	to	ADP
fcis-22596	40	33	||p||	||p||	ADJ
fcis-22596	40	34	≤	≤	NOUN
fcis-22596	40	35	δₖ	δₖ	ADP
fcis-22596	40	36	,	,	PUNCT
fcis-22596	40	37	where	where	SCONJ
fcis-22596	40	38	δₖ	δₖ	NOUN
fcis-22596	40	39	is	be	AUX
fcis-22596	40	40	the	the	DET
fcis-22596	40	41	trust	trust	NOUN
fcis-22596	40	42	region	region	NOUN
fcis-22596	40	43	radius	radius	NOUN
fcis-22596	40	44	update	update	NOUN
fcis-22596	40	45	the	the	DET
fcis-22596	40	46	iterate	iterate	NOUN
fcis-22596	40	47	:	:	PUNCT
fcis-22596	40	48	compute	compute	VERB
fcis-22596	40	49	the	the	DET
fcis-22596	40	50	step	step	NOUN
fcis-22596	40	51	pₖ	pₖ	NOUN
fcis-22596	40	52	by	by	ADP
fcis-22596	40	53	solving	solve	VERB
fcis-22596	40	54	the	the	DET
fcis-22596	40	55	trust	trust	NOUN
fcis-22596	40	56	region	region	NOUN
fcis-22596	40	57	subproblem	subproblem	NOUN
fcis-22596	40	58	:	:	PUNCT
fcis-22596	40	59	pₖ	pₖ	NOUN
fcis-22596	40	60	=	=	SYM
fcis-22596	40	61	argmin	argmin	PROPN
fcis-22596	40	62	mₖ(p	mₖ(p	PROPN
fcis-22596	40	63	)	)	PUNCT
fcis-22596	40	64	subject	subject	NOUN
fcis-22596	40	65	to	to	ADP
fcis-22596	40	66	||p||	||p||	ADJ
fcis-22596	40	67	≤	≤	NOUN
fcis-22596	40	68	δₖ	δₖ	PRON
fcis-22596	40	69	trust	trust	NOUN
fcis-22596	40	70	region	region	NOUN
fcis-22596	40	71	update	update	NOUN
fcis-22596	40	72	:	:	PUNCT
fcis-22596	40	73	adjust	adjust	VERB
fcis-22596	40	74	the	the	DET
fcis-22596	40	75	confidence	confidence	NOUN
fcis-22596	40	76	zone	zone	NOUN
fcis-22596	40	77	radius	radius	NOUN
fcis-22596	40	78	δₖ	δₖ	ADP
fcis-22596	40	79	based	base	VERB
fcis-22596	40	80	on	on	ADP
fcis-22596	40	81	the	the	DET
fcis-22596	40	82	update	update	NOUN
fcis-22596	40	83	’s	’s	PART
fcis-22596	40	84	success	success	NOUN
fcis-22596	40	85	:	:	PUNCT
fcis-22596	40	86	if	if	SCONJ
fcis-22596	40	87	the	the	DET
fcis-22596	40	88	actual	actual	ADJ
fcis-22596	40	89	decrease	decrease	NOUN
fcis-22596	40	90	in	in	ADP
fcis-22596	40	91	the	the	DET
fcis-22596	40	92	objective	objective	ADJ
fcis-22596	40	93	function	function	NOUN
fcis-22596	40	94	is	be	AUX
fcis-22596	40	95	very	very	ADV
fcis-22596	40	96	close	close	ADJ
fcis-22596	40	97	to	to	ADP
fcis-22596	40	98	the	the	DET
fcis-22596	40	99	predicted	predict	VERB
fcis-22596	40	100	decrease	decrease	NOUN
fcis-22596	40	101	,	,	PUNCT
fcis-22596	40	102	increase	increase	NOUN
fcis-22596	40	103	δₖ.	δₖ.	NOUN
fcis-22596	40	104	otherwise	otherwise	ADV
fcis-22596	40	105	,	,	PUNCT
fcis-22596	40	106	decrease	decrease	VERB
fcis-22596	40	107	δₖ	δₖ	ADP
fcis-22596	40	108	to	to	PART
fcis-22596	40	109	decrease	decrease	VERB
fcis-22596	40	110	the	the	DET
fcis-22596	40	111	size	size	NOUN
fcis-22596	40	112	of	of	ADP
fcis-22596	40	113	the	the	DET
fcis-22596	40	114	confidence	confidence	NOUN
fcis-22596	40	115	region	region	NOUN
fcis-22596	40	116	.	.	PUNCT
fcis-22596	41	1	26	26	NUM
fcis-22596	41	2	convergence	convergence	NOUN
fcis-22596	41	3	check	check	NOUN
fcis-22596	41	4	:	:	PUNCT
fcis-22596	41	5	check	check	VERB
fcis-22596	41	6	convergence	convergence	NOUN
fcis-22596	41	7	based	base	VERB
fcis-22596	41	8	on	on	ADP
fcis-22596	41	9	termination	termination	NOUN
fcis-22596	41	10	criteria	criterion	NOUN
fcis-22596	41	11	such	such	ADJ
fcis-22596	41	12	as	as	ADP
fcis-22596	41	13	achieving	achieve	VERB
fcis-22596	41	14	the	the	DET
fcis-22596	41	15	desired	desire	VERB
fcis-22596	41	16	accuracy	accuracy	NOUN
fcis-22596	41	17	,	,	PUNCT
fcis-22596	41	18	slight	slight	ADJ
fcis-22596	41	19	gradient	gradient	NOUN
fcis-22596	41	20	,	,	PUNCT
fcis-22596	41	21	or	or	CCONJ
fcis-22596	41	22	small	small	ADJ
fcis-22596	41	23	confidence	confidence	NOUN
fcis-22596	41	24	region	region	NOUN
fcis-22596	41	25	radius	radius	NOUN
fcis-22596	41	26	.	.	PUNCT
fcis-22596	42	1	2.2	2.2	NUM
fcis-22596	42	2	.	.	PUNCT
fcis-22596	42	3	basic	basic	ADJ
fcis-22596	42	4	theory	theory	NOUN
fcis-22596	42	5	the	the	DET
fcis-22596	42	6	trust	trust	NOUN
fcis-22596	42	7	region	region	NOUN
fcis-22596	42	8	method	method	NOUN
fcis-22596	42	9	is	be	AUX
fcis-22596	42	10	based	base	VERB
fcis-22596	42	11	on	on	ADP
fcis-22596	42	12	optimization	optimization	NOUN
fcis-22596	42	13	theory	theory	NOUN
fcis-22596	42	14	and	and	CCONJ
fcis-22596	42	15	numerical	numerical	ADJ
fcis-22596	42	16	analysis	analysis	NOUN
fcis-22596	42	17	.	.	PUNCT
fcis-22596	43	1	the	the	DET
fcis-22596	43	2	following	follow	VERB
fcis-22596	43	3	are	be	AUX
fcis-22596	43	4	the	the	DET
fcis-22596	43	5	main	main	ADJ
fcis-22596	43	6	theoretical	theoretical	ADJ
fcis-22596	43	7	features	feature	NOUN
fcis-22596	43	8	of	of	ADP
fcis-22596	43	9	the	the	DET
fcis-22596	43	10	trust	trust	NOUN
fcis-22596	43	11	-	-	PUNCT
fcis-22596	43	12	region	region	NOUN
fcis-22596	43	13	approach	approach	NOUN
fcis-22596	43	14	.	.	PUNCT
fcis-22596	44	1	1	1	NUM
fcis-22596	44	2	)	)	PUNCT
fcis-22596	44	3	local	local	ADJ
fcis-22596	44	4	model	model	NOUN
fcis-22596	44	5	and	and	CCONJ
fcis-22596	44	6	global	global	ADJ
fcis-22596	44	7	convergence	convergence	NOUN
fcis-22596	44	8	:	:	PUNCT
fcis-22596	44	9	the	the	DET
fcis-22596	44	10	quadratic	quadratic	ADJ
fcis-22596	44	11	model	model	NOUN
fcis-22596	44	12	provides	provide	VERB
fcis-22596	44	13	a	a	DET
fcis-22596	44	14	local	local	ADJ
fcis-22596	44	15	estimate	estimate	NOUN
fcis-22596	44	16	of	of	ADP
fcis-22596	44	17	the	the	DET
fcis-22596	44	18	impartial	impartial	ADJ
fcis-22596	44	19	function	function	NOUN
fcis-22596	44	20	.	.	PUNCT
fcis-22596	45	1	the	the	DET
fcis-22596	45	2	confidence	confidence	NOUN
fcis-22596	45	3	-	-	PUNCT
fcis-22596	45	4	region	region	NOUN
fcis-22596	45	5	method	method	NOUN
fcis-22596	45	6	ensures	ensure	VERB
fcis-22596	45	7	global	global	ADJ
fcis-22596	45	8	consistency	consistency	NOUN
fcis-22596	45	9	by	by	ADP
fcis-22596	45	10	introducing	introduce	VERB
fcis-22596	45	11	a	a	DET
fcis-22596	45	12	confidence	confidence	NOUN
fcis-22596	45	13	-	-	PUNCT
fcis-22596	45	14	region	region	NOUN
fcis-22596	45	15	constraint	constraint	NOUN
fcis-22596	45	16	,	,	PUNCT
fcis-22596	45	17	which	which	PRON
fcis-22596	45	18	prevents	prevent	VERB
fcis-22596	45	19	the	the	DET
fcis-22596	45	20	algorithm	algorithm	NOUN
fcis-22596	45	21	from	from	ADP
fcis-22596	45	22	searching	search	VERB
fcis-22596	45	23	in	in	ADP
fcis-22596	45	24	a	a	DET
fcis-22596	45	25	finite	finite	ADJ
fcis-22596	45	26	region	region	NOUN
fcis-22596	45	27	around	around	ADP
fcis-22596	45	28	the	the	DET
fcis-22596	45	29	current	current	ADJ
fcis-22596	45	30	iteration	iteration	NOUN
fcis-22596	45	31	.	.	PUNCT
fcis-22596	46	1	this	this	DET
fcis-22596	46	2	constraint	constraint	NOUN
fcis-22596	46	3	prevents	prevent	VERB
fcis-22596	46	4	the	the	DET
fcis-22596	46	5	algorithm	algorithm	NOUN
fcis-22596	46	6	from	from	ADP
fcis-22596	46	7	splitting	splitting	NOUN
fcis-22596	46	8	or	or	CCONJ
fcis-22596	46	9	converging	converge	VERB
fcis-22596	46	10	in	in	ADP
fcis-22596	46	11	local	local	ADJ
fcis-22596	46	12	optima	optima	NOUN
fcis-22596	46	13	(	(	PUNCT
fcis-22596	46	14	more	more	ADJ
fcis-22596	46	15	,	,	PUNCT
fcis-22596	46	16	2020	2020	NUM
fcis-22596	46	17	)	)	PUNCT
fcis-22596	46	18	.	.	PUNCT
fcis-22596	47	1	2	2	X
fcis-22596	47	2	)	)	PUNCT
fcis-22596	47	3	objective	objective	ADJ
fcis-22596	47	4	function	function	NOUN
fcis-22596	47	5	reduction	reduction	NOUN
fcis-22596	47	6	:	:	PUNCT
fcis-22596	47	7	the	the	DET
fcis-22596	47	8	trust	trust	NOUN
fcis-22596	47	9	region	region	NOUN
fcis-22596	47	10	technique	technique	NOUN
fcis-22596	47	11	aims	aim	VERB
fcis-22596	47	12	to	to	PART
fcis-22596	47	13	reduce	reduce	VERB
fcis-22596	47	14	the	the	DET
fcis-22596	47	15	objective	objective	ADJ
fcis-22596	47	16	function	function	NOUN
fcis-22596	47	17	at	at	ADP
fcis-22596	47	18	each	each	DET
fcis-22596	47	19	iteration	iteration	NOUN
fcis-22596	47	20	.	.	PUNCT
fcis-22596	48	1	it	it	PRON
fcis-22596	48	2	achieves	achieve	VERB
fcis-22596	48	3	this	this	PRON
fcis-22596	48	4	by	by	ADP
fcis-22596	48	5	finding	find	VERB
fcis-22596	48	6	a	a	DET
fcis-22596	48	7	step	step	NOUN
fcis-22596	48	8	direction	direction	NOUN
fcis-22596	48	9	that	that	PRON
fcis-22596	48	10	minimizes	minimize	VERB
fcis-22596	48	11	the	the	DET
fcis-22596	48	12	quadratic	quadratic	ADJ
fcis-22596	48	13	model	model	NOUN
fcis-22596	48	14	of	of	ADP
fcis-22596	48	15	the	the	DET
fcis-22596	48	16	impartial	impartial	ADJ
fcis-22596	48	17	function	function	NOUN
fcis-22596	48	18	in	in	ADP
fcis-22596	48	19	the	the	DET
fcis-22596	48	20	confidence	confidence	NOUN
fcis-22596	48	21	region	region	NOUN
fcis-22596	48	22	.	.	PUNCT
fcis-22596	49	1	reducing	reduce	VERB
fcis-22596	49	2	the	the	DET
fcis-22596	49	3	objective	objective	ADJ
fcis-22596	49	4	function	function	NOUN
fcis-22596	49	5	is	be	AUX
fcis-22596	49	6	essential	essential	ADJ
fcis-22596	49	7	for	for	ADP
fcis-22596	49	8	retrieving	retrieve	VERB
fcis-22596	49	9	a	a	DET
fcis-22596	49	10	step	step	NOUN
fcis-22596	49	11	and	and	CCONJ
fcis-22596	49	12	updating	update	VERB
fcis-22596	49	13	the	the	DET
fcis-22596	49	14	current	current	ADJ
fcis-22596	49	15	iteration	iteration	NOUN
fcis-22596	49	16	.	.	PUNCT
fcis-22596	50	1	3	3	X
fcis-22596	50	2	)	)	PUNCT
fcis-22596	50	3	trust	trust	NOUN
fcis-22596	50	4	-	-	PUNCT
fcis-22596	50	5	region	region	NOUN
fcis-22596	50	6	update	update	NOUN
fcis-22596	50	7	:	:	PUNCT
fcis-22596	50	8	the	the	DET
fcis-22596	50	9	trust	trust	NOUN
fcis-22596	50	10	region	region	NOUN
fcis-22596	50	11	radius	radius	NOUN
fcis-22596	50	12	is	be	AUX
fcis-22596	50	13	adaptively	adaptively	ADV
fcis-22596	50	14	restructured	restructure	VERB
fcis-22596	50	15	during	during	ADP
fcis-22596	50	16	optimization	optimization	NOUN
fcis-22596	50	17	built	build	VERB
fcis-22596	50	18	on	on	ADP
fcis-22596	50	19	the	the	DET
fcis-22596	50	20	model	model	NOUN
fcis-22596	50	21	's	's	PART
fcis-22596	50	22	agreement	agreement	NOUN
fcis-22596	50	23	and	and	CCONJ
fcis-22596	50	24	actual	actual	ADJ
fcis-22596	50	25	performance	performance	NOUN
fcis-22596	50	26	values	value	NOUN
fcis-22596	50	27	.	.	PUNCT
fcis-22596	51	1	if	if	SCONJ
fcis-22596	51	2	the	the	DET
fcis-22596	51	3	model	model	NOUN
fcis-22596	51	4	accurately	accurately	ADV
fcis-22596	51	5	represents	represent	VERB
fcis-22596	51	6	the	the	DET
fcis-22596	51	7	project	project	NOUN
fcis-22596	51	8	,	,	PUNCT
fcis-22596	51	9	the	the	DET
fcis-22596	51	10	confidence	confidence	NOUN
fcis-22596	51	11	space	space	NOUN
fcis-22596	51	12	can	can	AUX
fcis-22596	51	13	be	be	AUX
fcis-22596	51	14	expanded	expand	VERB
fcis-22596	51	15	to	to	PART
fcis-22596	51	16	find	find	VERB
fcis-22596	51	17	the	the	DET
fcis-22596	51	18	required	require	VERB
fcis-22596	51	19	area	area	NOUN
fcis-22596	51	20	size	size	NOUN
fcis-22596	51	21	.	.	PUNCT
fcis-22596	52	1	conversely	conversely	ADV
fcis-22596	52	2	,	,	PUNCT
fcis-22596	52	3	if	if	SCONJ
fcis-22596	52	4	the	the	DET
fcis-22596	52	5	model	model	NOUN
fcis-22596	52	6	deviates	deviate	VERB
fcis-22596	52	7	significantly	significantly	ADV
fcis-22596	52	8	from	from	ADP
fcis-22596	52	9	the	the	DET
fcis-22596	52	10	task	task	NOUN
fcis-22596	52	11	,	,	PUNCT
fcis-22596	52	12	the	the	DET
fcis-22596	52	13	radius	radius	NOUN
fcis-22596	52	14	of	of	ADP
fcis-22596	52	15	the	the	DET
fcis-22596	52	16	confidence	confidence	NOUN
fcis-22596	52	17	zone	zone	NOUN
fcis-22596	52	18	is	be	AUX
fcis-22596	52	19	reduced	reduce	VERB
fcis-22596	52	20	to	to	PART
fcis-22596	52	21	focus	focus	VERB
fcis-22596	52	22	on	on	ADP
fcis-22596	52	23	smaller	small	ADJ
fcis-22596	52	24	regions	region	NOUN
fcis-22596	52	25	.	.	PUNCT
fcis-22596	53	1	4	4	X
fcis-22596	53	2	)	)	PUNCT
fcis-22596	53	3	convergence	convergence	NOUN
fcis-22596	53	4	analysis	analysis	NOUN
fcis-22596	53	5	:	:	PUNCT
fcis-22596	53	6	the	the	DET
fcis-22596	53	7	trust	trust	NOUN
fcis-22596	53	8	-	-	PUNCT
fcis-22596	53	9	region	region	NOUN
fcis-22596	53	10	approach	approach	NOUN
fcis-22596	53	11	guarantees	guarantee	VERB
fcis-22596	53	12	convergence	convergence	NOUN
fcis-22596	53	13	under	under	ADP
fcis-22596	53	14	certain	certain	ADJ
fcis-22596	53	15	circumstances	circumstance	NOUN
fcis-22596	53	16	.	.	PUNCT
fcis-22596	54	1	in	in	ADP
fcis-22596	54	2	convergence	convergence	NOUN
fcis-22596	54	3	analysis	analysis	NOUN
fcis-22596	54	4	,	,	PUNCT
fcis-22596	54	5	the	the	DET
fcis-22596	54	6	sequence	sequence	NOUN
fcis-22596	54	7	of	of	ADP
fcis-22596	54	8	iterations	iteration	NOUN
fcis-22596	54	9	generated	generate	VERB
fcis-22596	54	10	by	by	ADP
fcis-22596	54	11	the	the	DET
fcis-22596	54	12	algorithm	algorithm	NOUN
fcis-22596	54	13	has	have	AUX
fcis-22596	54	14	been	be	AUX
fcis-22596	54	15	presented	present	VERB
fcis-22596	54	16	to	to	PART
fcis-22596	54	17	meet	meet	VERB
fcis-22596	54	18	to	to	ADP
fcis-22596	54	19	a	a	DET
fcis-22596	54	20	specific	specific	ADJ
fcis-22596	54	21	point	point	NOUN
fcis-22596	54	22	in	in	ADP
fcis-22596	54	23	the	the	DET
fcis-22596	54	24	objective	objective	ADJ
fcis-22596	54	25	function	function	NOUN
fcis-22596	54	26	or	or	CCONJ
fcis-22596	54	27	to	to	ADP
fcis-22596	54	28	a	a	DET
fcis-22596	54	29	local	local	ADJ
fcis-22596	54	30	/	/	SYM
fcis-22596	54	31	global	global	ADJ
fcis-22596	54	32	minimizer	minimizer	NOUN
fcis-22596	54	33	.	.	PUNCT
fcis-22596	55	1	this	this	DET
fcis-22596	55	2	analysis	analysis	NOUN
fcis-22596	55	3	is	be	AUX
fcis-22596	55	4	usually	usually	ADV
fcis-22596	55	5	based	base	VERB
fcis-22596	55	6	on	on	ADP
fcis-22596	55	7	an	an	DET
fcis-22596	55	8	objective	objective	ADJ
fcis-22596	55	9	function	function	NOUN
fcis-22596	55	10	with	with	ADP
fcis-22596	55	11	properties	property	NOUN
fcis-22596	55	12	such	such	ADJ
fcis-22596	55	13	as	as	ADP
fcis-22596	55	14	lipsitz	lipsitz	NOUN
fcis-22596	55	15	continuity	continuity	NOUN
fcis-22596	55	16	,	,	PUNCT
fcis-22596	55	17	convexity	convexity	NOUN
fcis-22596	55	18	,	,	PUNCT
fcis-22596	55	19	or	or	CCONJ
fcis-22596	55	20	strong	strong	ADJ
fcis-22596	55	21	convexity	convexity	NOUN
fcis-22596	55	22	.	.	PUNCT
fcis-22596	56	1	3	3	X
fcis-22596	56	2	.	.	X
fcis-22596	56	3	different	different	ADJ
fcis-22596	56	4	versions	version	NOUN
fcis-22596	56	5	of	of	ADP
fcis-22596	56	6	the	the	DET
fcis-22596	56	7	trustregion	trustregion	NOUN
fcis-22596	56	8	method	method	NOUN
fcis-22596	56	9	over	over	ADP
fcis-22596	56	10	the	the	DET
fcis-22596	56	11	years	year	NOUN
fcis-22596	56	12	,	,	PUNCT
fcis-22596	56	13	the	the	DET
fcis-22596	56	14	trust	trust	NOUN
fcis-22596	56	15	-	-	PUNCT
fcis-22596	56	16	zone	zone	NOUN
fcis-22596	56	17	approach	approach	NOUN
fcis-22596	56	18	has	have	AUX
fcis-22596	56	19	been	be	AUX
fcis-22596	56	20	studied	study	VERB
fcis-22596	56	21	and	and	CCONJ
fcis-22596	56	22	modified	modify	VERB
fcis-22596	56	23	,	,	PUNCT
fcis-22596	56	24	resulting	result	VERB
fcis-22596	56	25	in	in	ADP
fcis-22596	56	26	various	various	ADJ
fcis-22596	56	27	interpretations	interpretation	NOUN
fcis-22596	56	28	and	and	CCONJ
fcis-22596	56	29	variations	variation	NOUN
fcis-22596	56	30	.	.	PUNCT
fcis-22596	57	1	here	here	ADV
fcis-22596	57	2	are	be	AUX
fcis-22596	57	3	some	some	DET
fcis-22596	57	4	definitions	definition	NOUN
fcis-22596	57	5	of	of	ADP
fcis-22596	57	6	the	the	DET
fcis-22596	57	7	trust	trust	NOUN
fcis-22596	57	8	region	region	NOUN
fcis-22596	57	9	technique	technique	NOUN
fcis-22596	57	10	.	.	PUNCT
fcis-22596	58	1	a	a	DET
fcis-22596	58	2	)	)	PUNCT
fcis-22596	58	3	dogleg	dogleg	PROPN
fcis-22596	58	4	method	method	NOUN
fcis-22596	58	5	the	the	DET
fcis-22596	58	6	dogleg	dogleg	PROPN
fcis-22596	58	7	technique	technique	NOUN
fcis-22596	58	8	is	be	AUX
fcis-22596	58	9	an	an	DET
fcis-22596	58	10	irregular	irregular	ADJ
fcis-22596	58	11	of	of	ADP
fcis-22596	58	12	the	the	DET
fcis-22596	58	13	trust	trust	NOUN
fcis-22596	58	14	-	-	PUNCT
fcis-22596	58	15	region	region	NOUN
fcis-22596	58	16	method	method	NOUN
fcis-22596	58	17	that	that	PRON
fcis-22596	58	18	combines	combine	VERB
fcis-22596	58	19	the	the	DET
fcis-22596	58	20	advantages	advantage	NOUN
fcis-22596	58	21	of	of	ADP
fcis-22596	58	22	a	a	DET
fcis-22596	58	23	very	very	ADV
fcis-22596	58	24	steep	steep	ADJ
fcis-22596	58	25	descent	descent	NOUN
fcis-22596	58	26	technique	technique	NOUN
fcis-22596	58	27	and	and	CCONJ
fcis-22596	58	28	the	the	DET
fcis-22596	58	29	gauss	gauss	PROPN
fcis-22596	58	30	-	-	PUNCT
fcis-22596	58	31	newton	newton	PROPN
fcis-22596	58	32	method	method	NOUN
fcis-22596	58	33	.	.	PUNCT
fcis-22596	59	1	a	a	DET
fcis-22596	59	2	straightforward	straightforward	ADJ
fcis-22596	59	3	method	method	NOUN
fcis-22596	59	4	(	(	PUNCT
fcis-22596	59	5	the	the	DET
fcis-22596	59	6	direction	direction	NOUN
fcis-22596	59	7	of	of	ADP
fcis-22596	59	8	maximum	maximum	ADJ
fcis-22596	59	9	slope	slope	NOUN
fcis-22596	59	10	)	)	PUNCT
fcis-22596	59	11	and	and	CCONJ
fcis-22596	59	12	a	a	DET
fcis-22596	59	13	square	square	ADJ
fcis-22596	59	14	method	method	NOUN
fcis-22596	59	15	(	(	PUNCT
fcis-22596	59	16	gauss	gauss	ADJ
fcis-22596	59	17	-	-	PUNCT
fcis-22596	59	18	newton	newton	PROPN
fcis-22596	59	19	direction	direction	NOUN
fcis-22596	59	20	)	)	PUNCT
fcis-22596	59	21	are	be	AUX
fcis-22596	59	22	all	all	PRON
fcis-22596	59	23	used	use	VERB
fcis-22596	59	24	to	to	PART
fcis-22596	59	25	calculate	calculate	VERB
fcis-22596	59	26	the	the	DET
fcis-22596	59	27	step	step	NOUN
fcis-22596	59	28	path	path	NOUN
fcis-22596	59	29	inside	inside	ADP
fcis-22596	59	30	the	the	DET
fcis-22596	59	31	confidence	confidence	NOUN
fcis-22596	59	32	area	area	NOUN
fcis-22596	59	33	.	.	PUNCT
fcis-22596	60	1	the	the	DET
fcis-22596	60	2	algorithm	algorithm	NOUN
fcis-22596	60	3	identifies	identify	VERB
fcis-22596	60	4	those	those	DET
fcis-22596	60	5	solutions	solution	NOUN
fcis-22596	60	6	that	that	PRON
fcis-22596	60	7	lie	lie	VERB
fcis-22596	60	8	on	on	ADP
fcis-22596	60	9	the	the	DET
fcis-22596	60	10	boundaries	boundary	NOUN
fcis-22596	60	11	of	of	ADP
fcis-22596	60	12	the	the	DET
fcis-22596	60	13	confidence	confidence	NOUN
fcis-22596	60	14	region	region	NOUN
fcis-22596	60	15	if	if	SCONJ
fcis-22596	60	16	they	they	PRON
fcis-22596	60	17	lie	lie	VERB
fcis-22596	60	18	within	within	ADP
fcis-22596	60	19	the	the	DET
fcis-22596	60	20	confidence	confidence	NOUN
fcis-22596	60	21	area	area	NOUN
fcis-22596	60	22	or	or	CCONJ
fcis-22596	60	23	cross	cross	VERB
fcis-22596	60	24	the	the	DET
fcis-22596	60	25	boundaries	boundary	NOUN
fcis-22596	60	26	of	of	ADP
fcis-22596	60	27	the	the	DET
fcis-22596	60	28	confidence	confidence	NOUN
fcis-22596	60	29	area	area	NOUN
fcis-22596	60	30	and	and	CCONJ
fcis-22596	60	31	connecting	connect	VERB
fcis-22596	60	32	lines	line	NOUN
fcis-22596	60	33	—	—	PUNCT
fcis-22596	60	34	the	the	DET
fcis-22596	60	35	gauss	gauss	PROPN
fcis-22596	60	36	-	-	PUNCT
fcis-22596	60	37	newton	newton	PROPN
fcis-22596	60	38	solution	solution	NOUN
fcis-22596	60	39	of	of	ADP
fcis-22596	60	40	the	the	DET
fcis-22596	60	41	current	current	ADJ
fcis-22596	60	42	iteration	iteration	NOUN
fcis-22596	60	43	.	.	PUNCT
fcis-22596	61	1	b	b	X
fcis-22596	61	2	)	)	PUNCT
fcis-22596	61	3	trust	trust	NOUN
fcis-22596	61	4	-	-	PUNCT
fcis-22596	61	5	region	region	NOUN
fcis-22596	61	6	reflective	reflective	ADJ
fcis-22596	61	7	method	method	NOUN
fcis-22596	61	8	the	the	DET
fcis-22596	61	9	trust	trust	PROPN
fcis-22596	61	10	region	region	PROPN
fcis-22596	61	11	reflective	reflective	ADJ
fcis-22596	61	12	technique	technique	NOUN
fcis-22596	61	13	is	be	AUX
fcis-22596	61	14	an	an	DET
fcis-22596	61	15	extension	extension	NOUN
fcis-22596	61	16	of	of	ADP
fcis-22596	61	17	the	the	DET
fcis-22596	61	18	trust	trust	NOUN
fcis-22596	61	19	region	region	NOUN
fcis-22596	61	20	technique	technique	NOUN
fcis-22596	61	21	for	for	ADP
fcis-22596	61	22	forced	force	VERB
fcis-22596	61	23	optimization	optimization	NOUN
fcis-22596	61	24	problems	problem	NOUN
fcis-22596	61	25	.	.	PUNCT
fcis-22596	62	1	this	this	PRON
fcis-22596	62	2	includes	include	VERB
fcis-22596	62	3	constraints	constraint	NOUN
fcis-22596	62	4	using	use	VERB
fcis-22596	62	5	projection	projection	NOUN
fcis-22596	62	6	or	or	CCONJ
fcis-22596	62	7	reflective	reflective	ADJ
fcis-22596	62	8	strategies	strategy	NOUN
fcis-22596	62	9	to	to	PART
fcis-22596	62	10	ensure	ensure	VERB
fcis-22596	62	11	that	that	SCONJ
fcis-22596	62	12	the	the	DET
fcis-22596	62	13	step	step	NOUN
fcis-22596	62	14	remains	remain	VERB
fcis-22596	62	15	within	within	ADP
fcis-22596	62	16	the	the	DET
fcis-22596	62	17	realm	realm	NOUN
fcis-22596	62	18	of	of	ADP
fcis-22596	62	19	possibility	possibility	NOUN
fcis-22596	62	20	.	.	PUNCT
fcis-22596	63	1	the	the	DET
fcis-22596	63	2	algorithm	algorithm	NOUN
fcis-22596	63	3	updates	update	VERB
fcis-22596	63	4	the	the	DET
fcis-22596	63	5	iteration	iteration	NOUN
fcis-22596	63	6	to	to	PART
fcis-22596	63	7	satisfy	satisfy	VERB
fcis-22596	63	8	the	the	DET
fcis-22596	63	9	constraint	constraint	NOUN
fcis-22596	63	10	by	by	ADP
fcis-22596	63	11	first	first	ADV
fcis-22596	63	12	accepting	accept	VERB
fcis-22596	63	13	a	a	DET
fcis-22596	63	14	step	step	NOUN
fcis-22596	63	15	in	in	ADP
fcis-22596	63	16	the	the	DET
fcis-22596	63	17	confidence	confidence	NOUN
fcis-22596	63	18	domain	domain	NOUN
fcis-22596	63	19	and	and	CCONJ
fcis-22596	63	20	then	then	ADV
fcis-22596	63	21	projecting	project	VERB
fcis-22596	63	22	it	it	PRON
fcis-22596	63	23	into	into	ADP
fcis-22596	63	24	the	the	DET
fcis-22596	63	25	feasible	feasible	ADJ
fcis-22596	63	26	set	set	NOUN
fcis-22596	63	27	,	,	PUNCT
fcis-22596	63	28	if	if	SCONJ
fcis-22596	63	29	necessary	necessary	ADJ
fcis-22596	63	30	.	.	PUNCT
fcis-22596	64	1	c	c	X
fcis-22596	64	2	)	)	PUNCT
fcis-22596	64	3	trust	trust	NOUN
fcis-22596	64	4	-	-	PUNCT
fcis-22596	64	5	region	region	NOUN
fcis-22596	64	6	interior	interior	ADJ
fcis-22596	64	7	point	point	NOUN
fcis-22596	64	8	methods	method	NOUN
fcis-22596	64	9	trust	trust	PROPN
fcis-22596	64	10	region	region	NOUN
fcis-22596	64	11	interior	interior	ADJ
fcis-22596	64	12	point	point	NOUN
fcis-22596	64	13	approaches	approach	NOUN
fcis-22596	64	14	combine	combine	VERB
fcis-22596	64	15	interior	interior	ADJ
fcis-22596	64	16	point	point	NOUN
fcis-22596	64	17	techniques	technique	NOUN
fcis-22596	64	18	and	and	CCONJ
fcis-22596	64	19	trust	trust	NOUN
fcis-22596	64	20	domain	domain	NOUN
fcis-22596	64	21	approaches	approach	NOUN
fcis-22596	64	22	.	.	PUNCT
fcis-22596	65	1	these	these	DET
fcis-22596	65	2	methods	method	NOUN
fcis-22596	65	3	solve	solve	VERB
fcis-22596	65	4	constrained	constrain	VERB
fcis-22596	65	5	optimization	optimization	NOUN
fcis-22596	65	6	problems	problem	NOUN
fcis-22596	65	7	by	by	ADP
fcis-22596	65	8	converting	convert	VERB
fcis-22596	65	9	the	the	DET
fcis-22596	65	10	unconstrained	unconstrained	ADJ
fcis-22596	65	11	problem	problem	NOUN
fcis-22596	65	12	into	into	ADP
fcis-22596	65	13	a	a	DET
fcis-22596	65	14	sequence	sequence	NOUN
fcis-22596	65	15	using	use	VERB
fcis-22596	65	16	constraint	constraint	NOUN
fcis-22596	65	17	functions	function	NOUN
fcis-22596	65	18	.	.	PUNCT
fcis-22596	66	1	trust	trust	NOUN
fcis-22596	66	2	regions	region	NOUN
fcis-22596	66	3	control	control	VERB
fcis-22596	66	4	the	the	DET
fcis-22596	66	5	size	size	NOUN
fcis-22596	66	6	of	of	ADP
fcis-22596	66	7	the	the	DET
fcis-22596	66	8	steps	step	NOUN
fcis-22596	66	9	taken	take	VERB
fcis-22596	66	10	in	in	ADP
fcis-22596	66	11	the	the	DET
fcis-22596	66	12	inner	inner	ADJ
fcis-22596	66	13	-	-	PUNCT
fcis-22596	66	14	point	point	NOUN
fcis-22596	66	15	phase	phase	NOUN
fcis-22596	66	16	,	,	PUNCT
fcis-22596	66	17	ensuring	ensure	VERB
fcis-22596	66	18	that	that	SCONJ
fcis-22596	66	19	the	the	DET
fcis-22596	66	20	iteration	iteration	NOUN
fcis-22596	66	21	remains	remain	VERB
fcis-22596	66	22	close	close	ADJ
fcis-22596	66	23	to	to	ADP
fcis-22596	66	24	the	the	DET
fcis-22596	66	25	feasible	feasible	ADJ
fcis-22596	66	26	regions	region	NOUN
fcis-22596	66	27	.	.	PUNCT
fcis-22596	67	1	the	the	DET
fcis-22596	67	2	algorithm	algorithm	NOUN
fcis-22596	67	3	re	re	VERB
fcis-22596	67	4	-	-	VERB
fcis-22596	67	5	adjusts	adjust	VERB
fcis-22596	67	6	the	the	DET
fcis-22596	67	7	limit	limit	NOUN
fcis-22596	67	8	parameter	parameter	NOUN
fcis-22596	67	9	and	and	CCONJ
fcis-22596	67	10	confidence	confidence	NOUN
fcis-22596	67	11	zone	zone	NOUN
fcis-22596	67	12	radius	radius	NOUN
fcis-22596	67	13	to	to	ADP
fcis-22596	67	14	a	a	DET
fcis-22596	67	15	solution	solution	NOUN
fcis-22596	67	16	.	.	PUNCT
fcis-22596	68	1	d	d	X
fcis-22596	68	2	)	)	PUNCT
fcis-22596	68	3	trust	trust	NOUN
fcis-22596	68	4	-	-	PUNCT
fcis-22596	68	5	region	region	NOUN
fcis-22596	68	6	sqp	sqp	PROPN
fcis-22596	68	7	(	(	PUNCT
fcis-22596	68	8	sequential	sequential	PROPN
fcis-22596	68	9	et	et	PROPN
fcis-22596	68	10	al	al	PROPN
fcis-22596	68	11	.	.	PROPN
fcis-22596	68	12	)	)	PUNCT
fcis-22596	69	1	trust	trust	NOUN
fcis-22596	69	2	-	-	PUNCT
fcis-22596	69	3	region	region	NOUN
fcis-22596	69	4	sqp	sqp	PROPN
fcis-22596	69	5	is	be	AUX
fcis-22596	69	6	an	an	DET
fcis-22596	69	7	extension	extension	NOUN
fcis-22596	69	8	of	of	ADP
fcis-22596	69	9	the	the	DET
fcis-22596	69	10	trust	trust	NOUN
fcis-22596	69	11	-	-	PUNCT
fcis-22596	69	12	region	region	NOUN
fcis-22596	69	13	method	method	NOUN
fcis-22596	69	14	for	for	ADP
fcis-22596	69	15	solving	solve	VERB
fcis-22596	69	16	nonlinear	nonlinear	ADJ
fcis-22596	69	17	optimization	optimization	NOUN
fcis-22596	69	18	problems	problem	NOUN
fcis-22596	69	19	with	with	ADP
fcis-22596	69	20	equality	equality	NOUN
fcis-22596	69	21	and	and	CCONJ
fcis-22596	69	22	inequality	inequality	NOUN
fcis-22596	69	23	constraints	constraint	NOUN
fcis-22596	69	24	.	.	PUNCT
fcis-22596	70	1	it	it	PRON
fcis-22596	70	2	incorporates	incorporate	VERB
fcis-22596	70	3	a	a	DET
fcis-22596	70	4	sequential	sequential	ADJ
fcis-22596	70	5	quadratic	quadratic	ADJ
fcis-22596	70	6	software	software	NOUN
fcis-22596	70	7	design	design	NOUN
fcis-22596	70	8	framework	framework	NOUN
fcis-22596	70	9	,	,	PUNCT
fcis-22596	70	10	which	which	PRON
fcis-22596	70	11	uses	use	VERB
fcis-22596	70	12	a	a	DET
fcis-22596	70	13	trust	trust	NOUN
fcis-22596	70	14	-	-	PUNCT
fcis-22596	70	15	region	region	NOUN
fcis-22596	70	16	that	that	PRON
fcis-22596	70	17	formulates	formulate	VERB
fcis-22596	70	18	the	the	DET
fcis-22596	70	19	difficulty	difficulty	NOUN
fcis-22596	70	20	as	as	ADP
fcis-22596	70	21	a	a	DET
fcis-22596	70	22	series	series	NOUN
fcis-22596	70	23	of	of	ADP
fcis-22596	70	24	quadratic	quadratic	ADJ
fcis-22596	70	25	sub	sub	NOUN
fcis-22596	70	26	-	-	NOUN
fcis-22596	70	27	problems	problem	NOUN
fcis-22596	70	28	to	to	PART
fcis-22596	70	29	be	be	AUX
fcis-22596	70	30	solved	solve	VERB
fcis-22596	70	31	at	at	ADP
fcis-22596	70	32	each	each	DET
fcis-22596	70	33	iteration	iteration	NOUN
fcis-22596	70	34	to	to	PART
fcis-22596	70	35	ensure	ensure	VERB
fcis-22596	70	36	that	that	SCONJ
fcis-22596	70	37	the	the	DET
fcis-22596	70	38	steps	step	NOUN
fcis-22596	70	39	remain	remain	VERB
fcis-22596	70	40	within	within	ADP
fcis-22596	70	41	the	the	DET
fcis-22596	70	42	possible	possible	ADJ
fcis-22596	70	43	section	section	NOUN
fcis-22596	70	44	of	of	ADP
fcis-22596	70	45	the	the	DET
fcis-22596	70	46	restraints	restraint	NOUN
fcis-22596	70	47	explained	explain	VERB
fcis-22596	70	48	in	in	ADP
fcis-22596	70	49	the	the	DET
fcis-22596	70	50	constraints	constraint	NOUN
fcis-22596	70	51	.	.	PUNCT
fcis-22596	71	1	e	e	X
fcis-22596	71	2	)	)	PUNCT
fcis-22596	71	3	inexact	inexact	ADJ
fcis-22596	71	4	trust	trust	NOUN
fcis-22596	71	5	-	-	PUNCT
fcis-22596	71	6	region	region	NOUN
fcis-22596	71	7	methods	method	NOUN
fcis-22596	71	8	:	:	PUNCT
fcis-22596	71	9	inexact	inexact	ADJ
fcis-22596	71	10	trust	trust	NOUN
fcis-22596	71	11	region	region	NOUN
fcis-22596	71	12	approaches	approach	NOUN
fcis-22596	71	13	relax	relax	VERB
fcis-22596	71	14	the	the	DET
fcis-22596	71	15	requirement	requirement	NOUN
fcis-22596	71	16	to	to	PART
fcis-22596	71	17	explain	explain	VERB
fcis-22596	71	18	the	the	DET
fcis-22596	71	19	confidence	confidence	NOUN
fcis-22596	71	20	domain	domain	NOUN
fcis-22596	71	21	subproblem	subproblem	NOUN
fcis-22596	71	22	efficiently	efficiently	ADV
fcis-22596	71	23	and	and	CCONJ
fcis-22596	71	24	allow	allow	VERB
fcis-22596	71	25	for	for	ADP
fcis-22596	71	26	solutions	solution	NOUN
fcis-22596	71	27	.	.	PUNCT
fcis-22596	72	1	this	this	PRON
fcis-22596	72	2	can	can	AUX
fcis-22596	72	3	be	be	AUX
fcis-22596	72	4	useful	useful	ADJ
fcis-22596	72	5	when	when	SCONJ
fcis-22596	72	6	the	the	DET
fcis-22596	72	7	sub	sub	NOUN
fcis-22596	72	8	-	-	NOUN
fcis-22596	72	9	problem	problem	NOUN
fcis-22596	72	10	is	be	AUX
fcis-22596	72	11	computationally	computationally	ADV
fcis-22596	72	12	expensive	expensive	ADJ
fcis-22596	72	13	or	or	CCONJ
fcis-22596	72	14	does	do	AUX
fcis-22596	72	15	not	not	PART
fcis-22596	72	16	require	require	VERB
fcis-22596	72	17	high	high	ADJ
fcis-22596	72	18	accuracy	accuracy	NOUN
fcis-22596	72	19	.	.	PUNCT
fcis-22596	73	1	incorrect	incorrect	ADJ
fcis-22596	73	2	methods	method	NOUN
fcis-22596	73	3	lead	lead	VERB
fcis-22596	73	4	to	to	ADP
fcis-22596	73	5	stagnation	stagnation	NOUN
fcis-22596	73	6	in	in	ADP
fcis-22596	73	7	solving	solve	VERB
fcis-22596	73	8	subproblems	subproblem	NOUN
fcis-22596	73	9	and	and	CCONJ
fcis-22596	73	10	allow	allow	VERB
fcis-22596	73	11	the	the	DET
fcis-22596	73	12	solver	solver	NOUN
fcis-22596	73	13	to	to	PART
fcis-22596	73	14	interrupt	interrupt	VERB
fcis-22596	73	15	them	they	PRON
fcis-22596	73	16	before	before	ADP
fcis-22596	73	17	achieving	achieve	VERB
fcis-22596	73	18	higher	high	ADJ
fcis-22596	73	19	accuracy	accuracy	NOUN
fcis-22596	73	20	.	.	PUNCT
fcis-22596	74	1	this	this	PRON
fcis-22596	74	2	can	can	AUX
fcis-22596	74	3	result	result	VERB
fcis-22596	74	4	in	in	ADP
fcis-22596	74	5	significant	significant	ADJ
fcis-22596	74	6	computational	computational	ADJ
fcis-22596	74	7	savings	saving	NOUN
fcis-22596	74	8	.	.	PUNCT
fcis-22596	75	1	4	4	X
fcis-22596	75	2	.	.	X
fcis-22596	75	3	the	the	DET
fcis-22596	75	4	applications	application	NOUN
fcis-22596	75	5	,	,	PUNCT
fcis-22596	75	6	numerical	numerical	ADJ
fcis-22596	75	7	simulations	simulation	NOUN
fcis-22596	75	8	will	will	AUX
fcis-22596	75	9	be	be	AUX
fcis-22596	75	10	preferred	prefer	VERB
fcis-22596	75	11	generally	generally	ADV
fcis-22596	75	12	,	,	PUNCT
fcis-22596	75	13	the	the	DET
fcis-22596	75	14	trust	trust	NOUN
fcis-22596	75	15	-	-	PUNCT
fcis-22596	75	16	region	region	NOUN
fcis-22596	75	17	approach	approach	NOUN
fcis-22596	75	18	has	have	AUX
fcis-22596	75	19	been	be	AUX
fcis-22596	75	20	successfully	successfully	ADV
fcis-22596	75	21	applied	apply	VERB
fcis-22596	75	22	in	in	ADP
fcis-22596	75	23	various	various	ADJ
fcis-22596	75	24	fields	field	NOUN
fcis-22596	75	25	and	and	CCONJ
fcis-22596	75	26	has	have	AUX
fcis-22596	75	27	proven	prove	VERB
fcis-22596	75	28	effective	effective	ADJ
fcis-22596	75	29	in	in	ADP
fcis-22596	75	30	solving	solve	VERB
fcis-22596	75	31	optimization	optimization	NOUN
fcis-22596	75	32	problems	problem	NOUN
fcis-22596	75	33	.	.	PUNCT
fcis-22596	76	1	here	here	ADV
fcis-22596	76	2	are	be	AUX
fcis-22596	76	3	a	a	DET
fcis-22596	76	4	few	few	ADJ
fcis-22596	76	5	examples	example	NOUN
fcis-22596	76	6	of	of	ADP
fcis-22596	76	7	its	its	PRON
fcis-22596	76	8	use	use	NOUN
fcis-22596	76	9	in	in	ADP
fcis-22596	76	10	mathematical	mathematical	ADJ
fcis-22596	76	11	simulations	simulation	NOUN
fcis-22596	76	12	.	.	PUNCT
fcis-22596	77	1	4.1	4.1	NUM
fcis-22596	77	2	.	.	PUNCT
fcis-22596	77	3	machine	machine	NOUN
fcis-22596	77	4	learning	learn	VERB
fcis-22596	77	5	trust	trust	NOUN
fcis-22596	77	6	-	-	PUNCT
fcis-22596	77	7	region	region	NOUN
fcis-22596	77	8	methods	method	NOUN
fcis-22596	77	9	are	be	AUX
fcis-22596	77	10	widely	widely	ADV
fcis-22596	77	11	used	use	VERB
fcis-22596	77	12	in	in	ADP
fcis-22596	77	13	training	training	NOUN
fcis-22596	77	14	machine	machine	NOUN
fcis-22596	77	15	learning	learning	NOUN
fcis-22596	77	16	models	model	NOUN
fcis-22596	77	17	,	,	PUNCT
fcis-22596	77	18	especially	especially	ADV
fcis-22596	77	19	in	in	ADP
fcis-22596	77	20	optimizing	optimize	VERB
fcis-22596	77	21	deep	deep	ADJ
fcis-22596	77	22	learning	learning	NOUN
fcis-22596	77	23	.	.	PUNCT
fcis-22596	78	1	it	it	PRON
fcis-22596	78	2	can	can	AUX
fcis-22596	78	3	be	be	AUX
fcis-22596	78	4	used	use	VERB
fcis-22596	78	5	to	to	PART
fcis-22596	78	6	optimize	optimize	VERB
fcis-22596	78	7	neural	neural	ADJ
fcis-22596	78	8	network	network	NOUN
fcis-22596	78	9	parameters	parameter	NOUN
fcis-22596	78	10	such	such	ADJ
fcis-22596	78	11	as	as	ADP
fcis-22596	78	12	weights	weight	NOUN
fcis-22596	78	13	and	and	CCONJ
fcis-22596	78	14	biases	bias	NOUN
fcis-22596	78	15	to	to	PART
fcis-22596	78	16	reduce	reduce	VERB
fcis-22596	78	17	loss	loss	NOUN
fcis-22596	78	18	functions	function	NOUN
fcis-22596	78	19	.	.	PUNCT
fcis-22596	79	1	the	the	DET
fcis-22596	79	2	trust	trust	NOUN
fcis-22596	79	3	-	-	PUNCT
fcis-22596	79	4	region	region	NOUN
fcis-22596	79	5	method	method	NOUN
fcis-22596	79	6	helps	help	VERB
fcis-22596	79	7	to	to	PART
fcis-22596	79	8	navigate	navigate	VERB
fcis-22596	79	9	the	the	DET
fcis-22596	79	10	parameter	parameter	NOUN
fcis-22596	79	11	space	space	NOUN
fcis-22596	79	12	with	with	ADP
fcis-22596	79	13	higher	high	ADJ
fcis-22596	79	14	dimensions	dimension	NOUN
fcis-22596	79	15	efficiently	efficiently	ADV
fcis-22596	79	16	and	and	CCONJ
fcis-22596	79	17	converge	converge	VERB
fcis-22596	79	18	to	to	ADP
fcis-22596	79	19	the	the	DET
fcis-22596	79	20	optimal	optimal	ADJ
fcis-22596	79	21	solution	solution	NOUN
fcis-22596	79	22	.	.	PUNCT
fcis-22596	80	1	numerical	numerical	PROPN
fcis-22596	80	2	simulation	simulation	PROPN
fcis-22596	80	3	:	:	PUNCT
fcis-22596	80	4	consider	consider	VERB
fcis-22596	80	5	a	a	DET
fcis-22596	80	6	scenario	scenario	NOUN
fcis-22596	80	7	where	where	SCONJ
fcis-22596	80	8	the	the	DET
fcis-22596	80	9	trust	trust	NOUN
fcis-22596	80	10	-	-	PUNCT
fcis-22596	80	11	region	region	NOUN
fcis-22596	80	12	method	method	NOUN
fcis-22596	80	13	trains	train	VERB
fcis-22596	80	14	deep	deep	ADJ
fcis-22596	80	15	neural	neural	ADJ
fcis-22596	80	16	networks	network	NOUN
fcis-22596	80	17	for	for	ADP
fcis-22596	80	18	image	image	NOUN
fcis-22596	80	19	classification	classification	NOUN
fcis-22596	80	20	.	.	PUNCT
fcis-22596	81	1	the	the	DET
fcis-22596	81	2	algorithm	algorithm	NOUN
fcis-22596	81	3	fine	fine	NOUN
fcis-22596	81	4	-	-	PUNCT
fcis-22596	81	5	tunes	tune	NOUN
fcis-22596	81	6	the	the	DET
fcis-22596	81	7	masses	masse	NOUN
fcis-22596	81	8	and	and	CCONJ
fcis-22596	81	9	biases	bias	NOUN
fcis-22596	81	10	of	of	ADP
fcis-22596	81	11	the	the	DET
fcis-22596	81	12	network	network	NOUN
fcis-22596	81	13	to	to	PART
fcis-22596	81	14	lessen	lessen	VERB
fcis-22596	81	15	the	the	DET
fcis-22596	81	16	loss	loss	NOUN
fcis-22596	81	17	of	of	ADP
fcis-22596	81	18	cross	cross	NOUN
fcis-22596	81	19	-	-	NOUN
fcis-22596	81	20	entropy	entropy	NOUN
fcis-22596	81	21	.	.	PUNCT
fcis-22596	82	1	through	through	ADP
fcis-22596	82	2	iterations	iteration	NOUN
fcis-22596	82	3	,	,	PUNCT
fcis-22596	82	4	the	the	DET
fcis-22596	82	5	trust	trust	NOUN
fcis-22596	82	6	-	-	PUNCT
fcis-22596	82	7	region	region	NOUN
fcis-22596	82	8	method	method	NOUN
fcis-22596	82	9	can	can	AUX
fcis-22596	82	10	obtain	obtain	VERB
fcis-22596	82	11	optimized	optimize	VERB
fcis-22596	82	12	parameters	parameter	NOUN
fcis-22596	82	13	of	of	ADP
fcis-22596	82	14	accurate	accurate	ADJ
fcis-22596	82	15	image	image	NOUN
fcis-22596	82	16	classification	classification	NOUN
fcis-22596	82	17	.	.	PUNCT
fcis-22596	83	1	4.2	4.2	NUM
fcis-22596	83	2	.	.	PUNCT
fcis-22596	83	3	computer	computer	NOUN
fcis-22596	83	4	vision	vision	NOUN
fcis-22596	83	5	:	:	PUNCT
fcis-22596	83	6	trust	trust	NOUN
fcis-22596	83	7	-	-	PUNCT
fcis-22596	83	8	region	region	NOUN
fcis-22596	83	9	methods	method	NOUN
fcis-22596	83	10	find	find	VERB
fcis-22596	83	11	utility	utility	NOUN
fcis-22596	83	12	in	in	ADP
fcis-22596	83	13	computer	computer	NOUN
fcis-22596	83	14	vision	vision	NOUN
fcis-22596	83	15	tasks	task	NOUN
fcis-22596	83	16	,	,	PUNCT
fcis-22596	83	17	such	such	ADJ
fcis-22596	83	18	as	as	ADP
fcis-22596	83	19	image	image	NOUN
fcis-22596	83	20	reconstruction	reconstruction	NOUN
fcis-22596	83	21	and	and	CCONJ
fcis-22596	83	22	camera	camera	NOUN
fcis-22596	83	23	position	position	NOUN
fcis-22596	83	24	estimation	estimation	NOUN
fcis-22596	83	25	.	.	PUNCT
fcis-22596	84	1	these	these	DET
fcis-22596	84	2	tasks	task	NOUN
fcis-22596	84	3	typically	typically	ADV
fcis-22596	84	4	require	require	VERB
fcis-22596	84	5	solving	solve	VERB
fcis-22596	84	6	nonlinear	nonlinear	ADJ
fcis-22596	84	7	optimization	optimization	NOUN
fcis-22596	84	8	problems	problem	NOUN
fcis-22596	84	9	to	to	PART
fcis-22596	84	10	reconstruct	reconstruct	VERB
fcis-22596	84	11	images	image	NOUN
fcis-22596	84	12	,	,	PUNCT
fcis-22596	84	13	retrieve	retrieve	VERB
fcis-22596	84	14	missing	miss	VERB
fcis-22596	84	15	information	information	NOUN
fcis-22596	84	16	,	,	PUNCT
fcis-22596	84	17	or	or	CCONJ
fcis-22596	84	18	reconstruct	reconstruct	VERB
fcis-22596	84	19	3d	3d	NUM
fcis-22596	84	20	models	model	NOUN
fcis-22596	84	21	.	.	PUNCT
fcis-22596	85	1	confidence	confidence	NOUN
fcis-22596	85	2	-	-	PUNCT
fcis-22596	85	3	space	space	NOUN
fcis-22596	85	4	methods	method	NOUN
fcis-22596	85	5	can	can	AUX
fcis-22596	85	6	provide	provide	VERB
fcis-22596	85	7	robust	robust	ADJ
fcis-22596	85	8	and	and	CCONJ
fcis-22596	85	9	accurate	accurate	ADJ
fcis-22596	85	10	solutions	solution	NOUN
fcis-22596	85	11	in	in	ADP
fcis-22596	85	12	such	such	ADJ
fcis-22596	85	13	cases	case	NOUN
fcis-22596	85	14	.	.	PUNCT
fcis-22596	86	1	numerical	numerical	PROPN
fcis-22596	86	2	simulation	simulation	PROPN
fcis-22596	86	3	:	:	PUNCT
fcis-22596	86	4	assume	assume	VERB
fcis-22596	86	5	that	that	SCONJ
fcis-22596	86	6	the	the	DET
fcis-22596	86	7	trust	trust	NOUN
fcis-22596	86	8	-	-	PUNCT
fcis-22596	86	9	region	region	NOUN
fcis-22596	86	10	27	27	NUM
fcis-22596	86	11	method	method	NOUN
fcis-22596	86	12	estimates	estimate	VERB
fcis-22596	86	13	the	the	DET
fcis-22596	86	14	camera	camera	NOUN
fcis-22596	86	15	's	's	PART
fcis-22596	86	16	position	position	NOUN
fcis-22596	86	17	from	from	ADP
fcis-22596	86	18	a	a	DET
fcis-22596	86	19	coherent	coherent	ADJ
fcis-22596	86	20	2d	2d	NUM
fcis-22596	86	21	image	image	NOUN
fcis-22596	86	22	.	.	PUNCT
fcis-22596	87	1	by	by	ADP
fcis-22596	87	2	optimizing	optimize	VERB
fcis-22596	87	3	the	the	DET
fcis-22596	87	4	pose	pose	NOUN
fcis-22596	87	5	parameters	parameter	NOUN
fcis-22596	87	6	,	,	PUNCT
fcis-22596	87	7	the	the	DET
fcis-22596	87	8	algorithm	algorithm	NOUN
fcis-22596	87	9	accurately	accurately	ADV
fcis-22596	87	10	matches	match	VERB
fcis-22596	87	11	the	the	DET
fcis-22596	87	12	identified	identify	VERB
fcis-22596	87	13	image	image	NOUN
fcis-22596	87	14	points	point	NOUN
fcis-22596	87	15	with	with	ADP
fcis-22596	87	16	the	the	DET
fcis-22596	87	17	observations	observation	NOUN
fcis-22596	87	18	,	,	PUNCT
fcis-22596	87	19	resulting	result	VERB
fcis-22596	87	20	in	in	ADP
fcis-22596	87	21	an	an	DET
fcis-22596	87	22	accurate	accurate	ADJ
fcis-22596	87	23	camera	camera	NOUN
fcis-22596	87	24	position	position	NOUN
fcis-22596	87	25	estimate	estimate	NOUN
fcis-22596	87	26	(	(	PUNCT
fcis-22596	87	27	conn	conn	PROPN
fcis-22596	87	28	et	et	PROPN
fcis-22596	87	29	al	al	PROPN
fcis-22596	87	30	.	.	PROPN
fcis-22596	87	31	,	,	PUNCT
fcis-22596	87	32	2020	2020	NUM
fcis-22596	87	33	)	)	PUNCT
fcis-22596	87	34	.	.	PUNCT
fcis-22596	88	1	4.3	4.3	NUM
fcis-22596	88	2	.	.	PUNCT
fcis-22596	89	1	engineering	engineering	NOUN
fcis-22596	89	2	design	design	NOUN
fcis-22596	89	3	optimization	optimization	NOUN
fcis-22596	89	4	trust	trust	NOUN
fcis-22596	89	5	-	-	PUNCT
fcis-22596	89	6	region	region	NOUN
fcis-22596	89	7	approaches	approach	NOUN
fcis-22596	89	8	are	be	AUX
fcis-22596	89	9	used	use	VERB
fcis-22596	89	10	in	in	ADP
fcis-22596	89	11	engineering	engineering	NOUN
fcis-22596	89	12	design	design	NOUN
fcis-22596	89	13	optimization	optimization	NOUN
fcis-22596	89	14	problems	problem	NOUN
fcis-22596	89	15	,	,	PUNCT
fcis-22596	89	16	where	where	SCONJ
fcis-22596	89	17	the	the	DET
fcis-22596	89	18	objective	objective	NOUN
fcis-22596	89	19	is	be	AUX
fcis-22596	89	20	to	to	PART
fcis-22596	89	21	find	find	VERB
fcis-22596	89	22	optimal	optimal	ADJ
fcis-22596	89	23	design	design	NOUN
fcis-22596	89	24	parameters	parameter	NOUN
fcis-22596	89	25	that	that	PRON
fcis-22596	89	26	satisfy	satisfy	VERB
fcis-22596	89	27	a	a	DET
fcis-22596	89	28	performance	performance	NOUN
fcis-22596	89	29	criterion	criterion	NOUN
fcis-22596	89	30	or	or	CCONJ
fcis-22596	89	31	objective	objective	NOUN
fcis-22596	89	32	.	.	PUNCT
fcis-22596	90	1	these	these	DET
fcis-22596	90	2	problems	problem	NOUN
fcis-22596	90	3	typically	typically	ADV
fcis-22596	90	4	involve	involve	VERB
fcis-22596	90	5	nonlinear	nonlinear	ADJ
fcis-22596	90	6	objective	objective	ADJ
fcis-22596	90	7	functions	function	NOUN
fcis-22596	90	8	,	,	PUNCT
fcis-22596	90	9	constraints	constraint	NOUN
fcis-22596	90	10	,	,	PUNCT
fcis-22596	90	11	and	and	CCONJ
fcis-22596	90	12	designs	design	NOUN
fcis-22596	90	13	.	.	PUNCT
fcis-22596	91	1	there	there	PRON
fcis-22596	91	2	are	be	VERB
fcis-22596	91	3	also	also	ADV
fcis-22596	91	4	variables	variable	NOUN
fcis-22596	91	5	.	.	PUNCT
fcis-22596	92	1	the	the	DET
fcis-22596	92	2	trust	trust	NOUN
fcis-22596	92	3	-	-	PUNCT
fcis-22596	92	4	region	region	NOUN
fcis-22596	92	5	approach	approach	NOUN
fcis-22596	92	6	helps	helps	AUX
fcis-22596	92	7	identify	identify	VERB
fcis-22596	92	8	optimal	optimal	ADJ
fcis-22596	92	9	solutions	solution	NOUN
fcis-22596	92	10	by	by	ADP
fcis-22596	92	11	thoroughly	thoroughly	ADV
fcis-22596	92	12	analyzing	analyze	VERB
fcis-22596	92	13	the	the	DET
fcis-22596	92	14	design	design	NOUN
fcis-22596	92	15	space	space	NOUN
fcis-22596	92	16	.	.	PUNCT
fcis-22596	93	1	numerical	numerical	PROPN
fcis-22596	93	2	simulation	simulation	PROPN
fcis-22596	93	3	:	:	PUNCT
fcis-22596	93	4	consider	consider	VERB
fcis-22596	93	5	the	the	DET
fcis-22596	93	6	example	example	NOUN
fcis-22596	93	7	of	of	ADP
fcis-22596	93	8	the	the	DET
fcis-22596	93	9	optimization	optimization	NOUN
fcis-22596	93	10	of	of	ADP
fcis-22596	93	11	an	an	DET
fcis-22596	93	12	airplane	airplane	NOUN
fcis-22596	93	13	wing	wing	NOUN
fcis-22596	93	14	.	.	PUNCT
fcis-22596	94	1	the	the	DET
fcis-22596	94	2	trust	trust	NOUN
fcis-22596	94	3	-	-	PUNCT
fcis-22596	94	4	region	region	NOUN
fcis-22596	94	5	method	method	NOUN
fcis-22596	94	6	is	be	AUX
fcis-22596	94	7	used	use	VERB
fcis-22596	94	8	to	to	PART
fcis-22596	94	9	find	find	VERB
fcis-22596	94	10	optimal	optimal	ADJ
fcis-22596	94	11	size	size	NOUN
fcis-22596	94	12	parameters	parameter	NOUN
fcis-22596	94	13	,	,	PUNCT
fcis-22596	94	14	such	such	ADJ
fcis-22596	94	15	as	as	ADP
fcis-22596	94	16	airfoil	airfoil	NOUN
fcis-22596	94	17	thickness	thickness	NOUN
fcis-22596	94	18	distribution	distribution	NOUN
fcis-22596	94	19	,	,	PUNCT
fcis-22596	94	20	that	that	PRON
fcis-22596	94	21	reduce	reduce	VERB
fcis-22596	94	22	drag	drag	NOUN
fcis-22596	94	23	while	while	SCONJ
fcis-22596	94	24	meeting	meet	VERB
fcis-22596	94	25	structural	structural	ADJ
fcis-22596	94	26	constraints	constraint	NOUN
fcis-22596	94	27	.	.	PUNCT
fcis-22596	95	1	the	the	DET
fcis-22596	95	2	algorithm	algorithm	NOUN
fcis-22596	95	3	iteratively	iteratively	ADV
fcis-22596	95	4	adjusts	adjust	VERB
fcis-22596	95	5	size	size	NOUN
fcis-22596	95	6	parameters	parameter	NOUN
fcis-22596	95	7	within	within	ADP
fcis-22596	95	8	the	the	DET
fcis-22596	95	9	trust	trust	NOUN
fcis-22596	95	10	region	region	NOUN
fcis-22596	95	11	,	,	PUNCT
fcis-22596	95	12	converging	converge	VERB
fcis-22596	95	13	to	to	ADP
fcis-22596	95	14	an	an	DET
fcis-22596	95	15	optimal	optimal	ADJ
fcis-22596	95	16	design	design	NOUN
fcis-22596	95	17	that	that	PRON
fcis-22596	95	18	improves	improve	VERB
fcis-22596	95	19	aerodynamic	aerodynamic	ADJ
fcis-22596	95	20	performance	performance	NOUN
fcis-22596	95	21	.	.	PUNCT
fcis-22596	96	1	4.4	4.4	NUM
fcis-22596	96	2	.	.	PUNCT
fcis-22596	97	1	robust	robust	ADJ
fcis-22596	97	2	control	control	PROPN
fcis-22596	97	3	trust	trust	NOUN
fcis-22596	97	4	-	-	PUNCT
fcis-22596	97	5	region	region	NOUN
fcis-22596	97	6	methods	method	NOUN
fcis-22596	97	7	are	be	AUX
fcis-22596	97	8	applied	apply	VERB
fcis-22596	97	9	to	to	ADP
fcis-22596	97	10	complex	complex	ADJ
fcis-22596	97	11	control	control	NOUN
fcis-22596	97	12	problems	problem	NOUN
fcis-22596	97	13	to	to	PART
fcis-22596	97	14	develop	develop	VERB
fcis-22596	97	15	a	a	DET
fcis-22596	97	16	control	control	NOUN
fcis-22596	97	17	system	system	NOUN
fcis-22596	97	18	that	that	PRON
fcis-22596	97	19	can	can	AUX
fcis-22596	97	20	handle	handle	VERB
fcis-22596	97	21	uncertainty	uncertainty	NOUN
fcis-22596	97	22	and	and	CCONJ
fcis-22596	97	23	chaos	chaos	NOUN
fcis-22596	97	24	.	.	PUNCT
fcis-22596	98	1	these	these	DET
fcis-22596	98	2	problems	problem	NOUN
fcis-22596	98	3	involve	involve	VERB
fcis-22596	98	4	optimizing	optimize	VERB
fcis-22596	98	5	control	control	NOUN
fcis-22596	98	6	parameters	parameter	NOUN
fcis-22596	98	7	to	to	PART
fcis-22596	98	8	achieve	achieve	VERB
fcis-22596	98	9	the	the	DET
fcis-22596	98	10	desired	desire	VERB
fcis-22596	98	11	system	system	NOUN
fcis-22596	98	12	performance	performance	NOUN
fcis-22596	98	13	and	and	CCONJ
fcis-22596	98	14	ensure	ensure	VERB
fcis-22596	98	15	robustness	robustness	NOUN
fcis-22596	98	16	against	against	ADP
fcis-22596	98	17	changes	change	NOUN
fcis-22596	98	18	in	in	ADP
fcis-22596	98	19	system	system	NOUN
fcis-22596	98	20	dynamics	dynamic	NOUN
fcis-22596	98	21	or	or	CCONJ
fcis-22596	98	22	external	external	ADJ
fcis-22596	98	23	disturbances	disturbance	NOUN
fcis-22596	98	24	.	.	PUNCT
fcis-22596	99	1	numerical	numerical	PROPN
fcis-22596	99	2	simulation	simulation	PROPN
fcis-22596	99	3	:	:	PUNCT
fcis-22596	99	4	assume	assume	VERB
fcis-22596	99	5	that	that	SCONJ
fcis-22596	99	6	a	a	DET
fcis-22596	99	7	complex	complex	ADJ
fcis-22596	99	8	controller	controller	NOUN
fcis-22596	99	9	for	for	ADP
fcis-22596	99	10	an	an	DET
fcis-22596	99	11	autonomous	autonomous	ADJ
fcis-22596	99	12	vehicle	vehicle	NOUN
fcis-22596	99	13	is	be	AUX
fcis-22596	99	14	designed	design	VERB
fcis-22596	99	15	using	use	VERB
fcis-22596	99	16	the	the	DET
fcis-22596	99	17	trust	trust	NOUN
fcis-22596	99	18	-	-	PUNCT
fcis-22596	99	19	region	region	NOUN
fcis-22596	99	20	method	method	NOUN
fcis-22596	99	21	.	.	PUNCT
fcis-22596	100	1	the	the	DET
fcis-22596	100	2	algorithm	algorithm	NOUN
fcis-22596	100	3	optimizes	optimize	VERB
fcis-22596	100	4	the	the	DET
fcis-22596	100	5	control	control	NOUN
fcis-22596	100	6	parameters	parameter	NOUN
fcis-22596	100	7	to	to	PART
fcis-22596	100	8	minimize	minimize	VERB
fcis-22596	100	9	the	the	DET
fcis-22596	100	10	cost	cost	NOUN
fcis-22596	100	11	work	work	NOUN
fcis-22596	100	12	representing	represent	VERB
fcis-22596	100	13	the	the	DET
fcis-22596	100	14	trajectory	trajectory	NOUN
fcis-22596	100	15	tracking	tracking	NOUN
fcis-22596	100	16	performance	performance	NOUN
fcis-22596	100	17	while	while	SCONJ
fcis-22596	100	18	considering	consider	VERB
fcis-22596	100	19	vehicle	vehicle	NOUN
fcis-22596	100	20	dynamics	dynamic	NOUN
fcis-22596	100	21	and	and	CCONJ
fcis-22596	100	22	external	external	ADJ
fcis-22596	100	23	disturbance	disturbance	NOUN
fcis-22596	100	24	uncertainty	uncertainty	NOUN
fcis-22596	100	25	.	.	PUNCT
fcis-22596	101	1	through	through	ADP
fcis-22596	101	2	iterations	iteration	NOUN
fcis-22596	101	3	,	,	PUNCT
fcis-22596	101	4	the	the	DET
fcis-22596	101	5	trust	trust	NOUN
fcis-22596	101	6	-	-	PUNCT
fcis-22596	101	7	region	region	NOUN
fcis-22596	101	8	method	method	NOUN
fcis-22596	101	9	obtains	obtain	VERB
fcis-22596	101	10	rugged	rugged	ADJ
fcis-22596	101	11	control	control	NOUN
fcis-22596	101	12	parameters	parameter	NOUN
fcis-22596	101	13	,	,	PUNCT
fcis-22596	101	14	ensuring	ensure	VERB
fcis-22596	101	15	stable	stable	ADJ
fcis-22596	101	16	and	and	CCONJ
fcis-22596	101	17	precise	precise	ADJ
fcis-22596	101	18	vehicle	vehicle	NOUN
fcis-22596	101	19	control	control	NOUN
fcis-22596	101	20	.	.	PUNCT
fcis-22596	102	1	4.5	4.5	NUM
fcis-22596	102	2	.	.	PUNCT
fcis-22596	103	1	comparative	comparative	ADJ
fcis-22596	103	2	analysis	analysis	NOUN
fcis-22596	103	3	trust	trust	NOUN
fcis-22596	103	4	-	-	PUNCT
fcis-22596	103	5	region	region	NOUN
fcis-22596	103	6	and	and	CCONJ
fcis-22596	103	7	line	line	NOUN
fcis-22596	103	8	search	search	NOUN
fcis-22596	103	9	approaches	approach	NOUN
fcis-22596	103	10	are	be	AUX
fcis-22596	103	11	popular	popular	ADJ
fcis-22596	103	12	techniques	technique	NOUN
fcis-22596	103	13	for	for	ADP
fcis-22596	103	14	resolving	resolve	VERB
fcis-22596	103	15	optimization	optimization	NOUN
fcis-22596	103	16	complications	complication	NOUN
fcis-22596	103	17	.	.	PUNCT
fcis-22596	104	1	although	although	SCONJ
fcis-22596	104	2	they	they	PRON
fcis-22596	104	3	aim	aim	VERB
fcis-22596	104	4	to	to	PART
fcis-22596	104	5	find	find	VERB
fcis-22596	104	6	an	an	DET
fcis-22596	104	7	optimal	optimal	ADJ
fcis-22596	104	8	solution	solution	NOUN
fcis-22596	104	9	,	,	PUNCT
fcis-22596	104	10	they	they	PRON
fcis-22596	104	11	have	have	VERB
fcis-22596	104	12	different	different	ADJ
fcis-22596	104	13	ways	way	NOUN
fcis-22596	104	14	of	of	ADP
fcis-22596	104	15	determining	determine	VERB
fcis-22596	104	16	the	the	DET
fcis-22596	104	17	step	step	NOUN
fcis-22596	104	18	size	size	NOUN
fcis-22596	104	19	and	and	CCONJ
fcis-22596	104	20	direction	direction	NOUN
fcis-22596	104	21	.	.	PUNCT
fcis-22596	105	1	here	here	ADV
fcis-22596	105	2	is	be	AUX
fcis-22596	105	3	a	a	DET
fcis-22596	105	4	crucial	crucial	ADJ
fcis-22596	105	5	difference	difference	NOUN
fcis-22596	105	6	between	between	ADP
fcis-22596	105	7	trust	trust	NOUN
fcis-22596	105	8	region	region	NOUN
fcis-22596	105	9	together	together	ADV
fcis-22596	105	10	with	with	ADP
fcis-22596	105	11	the	the	DET
fcis-22596	105	12	line	line	NOUN
fcis-22596	105	13	search	search	NOUN
fcis-22596	105	14	methods	method	NOUN
fcis-22596	105	15	.	.	PUNCT
fcis-22596	106	1	5	5	X
fcis-22596	106	2	.	.	NUM
fcis-22596	106	3	step	step	NOUN
fcis-22596	106	4	size	size	NOUN
fcis-22596	106	5	determination	determination	NOUN
fcis-22596	106	6	the	the	DET
fcis-22596	106	7	trust	trust	NOUN
fcis-22596	106	8	-	-	PUNCT
fcis-22596	106	9	region	region	NOUN
fcis-22596	106	10	approach	approach	NOUN
fcis-22596	106	11	determines	determine	VERB
fcis-22596	106	12	the	the	DET
fcis-22596	106	13	step	step	NOUN
fcis-22596	106	14	size	size	NOUN
fcis-22596	106	15	by	by	ADP
fcis-22596	106	16	solving	solve	VERB
fcis-22596	106	17	a	a	DET
fcis-22596	106	18	sub	sub	NOUN
fcis-22596	106	19	problem	problem	NOUN
fcis-22596	106	20	in	in	ADP
fcis-22596	106	21	the	the	DET
fcis-22596	106	22	trust	trust	NOUN
fcis-22596	106	23	region	region	NOUN
fcis-22596	106	24	.	.	PUNCT
fcis-22596	107	1	the	the	DET
fcis-22596	107	2	confidence	confidence	NOUN
fcis-22596	107	3	region	region	NOUN
fcis-22596	107	4	limits	limit	VERB
fcis-22596	107	5	the	the	DET
fcis-22596	107	6	maximum	maximum	ADJ
fcis-22596	107	7	distance	distance	NOUN
fcis-22596	107	8	of	of	ADP
fcis-22596	107	9	the	the	DET
fcis-22596	107	10	procedure	procedure	NOUN
fcis-22596	107	11	from	from	ADP
fcis-22596	107	12	the	the	DET
fcis-22596	107	13	current	current	ADJ
fcis-22596	107	14	iteration	iteration	NOUN
fcis-22596	107	15	.	.	PUNCT
fcis-22596	108	1	the	the	DET
fcis-22596	108	2	step	step	NOUN
fcis-22596	108	3	size	size	NOUN
fcis-22596	108	4	is	be	AUX
fcis-22596	108	5	obtained	obtain	VERB
fcis-22596	108	6	by	by	ADP
fcis-22596	108	7	reducing	reduce	VERB
fcis-22596	108	8	the	the	DET
fcis-22596	108	9	local	local	ADJ
fcis-22596	108	10	sample	sample	NOUN
fcis-22596	108	11	of	of	ADP
fcis-22596	108	12	the	the	DET
fcis-22596	108	13	objective	objective	ADJ
fcis-22596	108	14	purpose	purpose	NOUN
fcis-22596	108	15	in	in	ADP
fcis-22596	108	16	the	the	DET
fcis-22596	108	17	trust	trust	NOUN
fcis-22596	108	18	region	region	NOUN
fcis-22596	108	19	,	,	PUNCT
fcis-22596	108	20	subject	subject	ADJ
fcis-22596	108	21	to	to	ADP
fcis-22596	108	22	a	a	DET
fcis-22596	108	23	constraint	constraint	NOUN
fcis-22596	108	24	(	(	PUNCT
fcis-22596	108	25	conn	conn	PROPN
fcis-22596	108	26	et	et	PROPN
fcis-22596	108	27	al	al	PROPN
fcis-22596	108	28	.	.	PROPN
fcis-22596	108	29	,	,	PUNCT
fcis-22596	108	30	2020	2020	NUM
fcis-22596	108	31	)	)	PUNCT
fcis-22596	108	32	.	.	PUNCT
fcis-22596	109	1	the	the	DET
fcis-22596	109	2	size	size	NOUN
fcis-22596	109	3	of	of	ADP
fcis-22596	109	4	the	the	DET
fcis-22596	109	5	trust	trust	NOUN
fcis-22596	109	6	region	region	NOUN
fcis-22596	109	7	is	be	AUX
fcis-22596	109	8	accustomed	accustom	VERB
fcis-22596	109	9	dynamically	dynamically	ADV
fcis-22596	109	10	based	base	VERB
fcis-22596	109	11	on	on	ADP
fcis-22596	109	12	the	the	DET
fcis-22596	109	13	arrangement	arrangement	NOUN
fcis-22596	109	14	between	between	ADP
fcis-22596	109	15	the	the	DET
fcis-22596	109	16	prototypical	prototypical	ADJ
fcis-22596	109	17	and	and	CCONJ
fcis-22596	109	18	the	the	DET
fcis-22596	109	19	definite	definite	ADJ
fcis-22596	109	20	performance	performance	NOUN
fcis-22596	109	21	values	value	NOUN
fcis-22596	109	22	.	.	PUNCT
fcis-22596	110	1	on	on	ADP
fcis-22596	110	2	the	the	DET
fcis-22596	110	3	other	other	ADJ
fcis-22596	110	4	hand	hand	NOUN
fcis-22596	110	5	,	,	PUNCT
fcis-22596	110	6	text	text	NOUN
fcis-22596	110	7	search	search	NOUN
fcis-22596	110	8	methods	method	NOUN
fcis-22596	110	9	perform	perform	VERB
fcis-22596	110	10	a	a	DET
fcis-22596	110	11	onedimensional	onedimensional	ADJ
fcis-22596	110	12	search	search	NOUN
fcis-22596	110	13	on	on	ADP
fcis-22596	110	14	a	a	DET
fcis-22596	110	15	particular	particular	ADJ
fcis-22596	110	16	search	search	NOUN
fcis-22596	110	17	path	path	NOUN
fcis-22596	110	18	and	and	CCONJ
fcis-22596	110	19	specify	specify	VERB
fcis-22596	110	20	the	the	DET
fcis-22596	110	21	step	step	NOUN
fcis-22596	110	22	size	size	NOUN
fcis-22596	110	23	.	.	PUNCT
fcis-22596	111	1	the	the	DET
fcis-22596	111	2	search	search	NOUN
fcis-22596	111	3	direction	direction	NOUN
fcis-22596	111	4	is	be	AUX
fcis-22596	111	5	usually	usually	ADV
fcis-22596	111	6	calculated	calculate	VERB
fcis-22596	111	7	using	use	VERB
fcis-22596	111	8	gradient	gradient	ADJ
fcis-22596	111	9	information	information	NOUN
fcis-22596	111	10	.	.	PUNCT
fcis-22596	112	1	the	the	DET
fcis-22596	112	2	step	step	NOUN
fcis-22596	112	3	size	size	NOUN
fcis-22596	112	4	is	be	AUX
fcis-22596	112	5	chosen	choose	VERB
fcis-22596	112	6	based	base	VERB
fcis-22596	112	7	on	on	ADP
fcis-22596	112	8	a	a	DET
fcis-22596	112	9	linefinding	linefinde	VERB
fcis-22596	112	10	procedure	procedure	NOUN
fcis-22596	112	11	that	that	PRON
fcis-22596	112	12	optimizes	optimize	VERB
fcis-22596	112	13	the	the	DET
fcis-22596	112	14	scalar	scalar	ADJ
fcis-22596	112	15	function	function	NOUN
fcis-22596	112	16	in	in	ADP
fcis-22596	112	17	the	the	DET
fcis-22596	112	18	search	search	NOUN
fcis-22596	112	19	path	path	NOUN
fcis-22596	112	20	.	.	PUNCT
fcis-22596	113	1	standard	standard	ADJ
fcis-22596	113	2	line	line	NOUN
fcis-22596	113	3	-	-	PUNCT
fcis-22596	113	4	finding	find	VERB
fcis-22596	113	5	methods	method	NOUN
fcis-22596	113	6	include	include	VERB
fcis-22596	113	7	armijo	armijo	PROPN
fcis-22596	113	8	's	's	PART
fcis-22596	113	9	rule	rule	NOUN
fcis-22596	113	10	,	,	PUNCT
fcis-22596	113	11	wolf	wolf	PROPN
fcis-22596	113	12	's	's	PART
fcis-22596	113	13	conditions	condition	NOUN
fcis-22596	113	14	,	,	PUNCT
fcis-22596	113	15	and	and	CCONJ
fcis-22596	113	16	goldstein	goldstein	PROPN
fcis-22596	113	17	's	's	PART
fcis-22596	113	18	conditions	condition	NOUN
fcis-22596	113	19	.	.	PUNCT
fcis-22596	114	1	5.1	5.1	NUM
fcis-22596	114	2	.	.	PUNCT
fcis-22596	115	1	global	global	ADJ
fcis-22596	115	2	versus	versus	ADP
fcis-22596	115	3	local	local	ADJ
fcis-22596	115	4	information	information	NOUN
fcis-22596	115	5	the	the	DET
fcis-22596	115	6	trust	trust	NOUN
fcis-22596	115	7	-	-	PUNCT
fcis-22596	115	8	region	region	NOUN
fcis-22596	115	9	approach	approach	NOUN
fcis-22596	115	10	uses	use	VERB
fcis-22596	115	11	global	global	ADJ
fcis-22596	115	12	information	information	NOUN
fcis-22596	115	13	about	about	ADP
fcis-22596	115	14	the	the	DET
fcis-22596	115	15	objective	objective	ADJ
fcis-22596	115	16	function	function	NOUN
fcis-22596	115	17	,	,	PUNCT
fcis-22596	115	18	such	such	ADJ
fcis-22596	115	19	as	as	ADP
fcis-22596	115	20	gradient	gradient	NOUN
fcis-22596	115	21	and	and	CCONJ
fcis-22596	115	22	possibly	possibly	ADV
fcis-22596	115	23	hessian	hessian	NOUN
fcis-22596	115	24	,	,	PUNCT
fcis-22596	115	25	to	to	PART
fcis-22596	115	26	build	build	VERB
fcis-22596	115	27	local	local	ADJ
fcis-22596	115	28	models	model	NOUN
fcis-22596	115	29	and	and	CCONJ
fcis-22596	115	30	make	make	VERB
fcis-22596	115	31	informed	informed	ADJ
fcis-22596	115	32	decisions	decision	NOUN
fcis-22596	115	33	about	about	ADP
fcis-22596	115	34	step	step	NOUN
fcis-22596	115	35	size	size	NOUN
fcis-22596	115	36	and	and	CCONJ
fcis-22596	115	37	direction	direction	NOUN
fcis-22596	115	38	.	.	PUNCT
fcis-22596	116	1	line	line	NOUN
fcis-22596	116	2	recognition	recognition	NOUN
fcis-22596	116	3	methods	method	NOUN
fcis-22596	116	4	mainly	mainly	ADV
fcis-22596	116	5	rely	rely	VERB
fcis-22596	116	6	on	on	ADP
fcis-22596	116	7	spatial	spatial	ADJ
fcis-22596	116	8	information	information	NOUN
fcis-22596	116	9	such	such	ADJ
fcis-22596	116	10	as	as	ADP
fcis-22596	116	11	gradient	gradient	NOUN
fcis-22596	116	12	to	to	PART
fcis-22596	116	13	determine	determine	VERB
fcis-22596	116	14	the	the	DET
fcis-22596	116	15	step	step	NOUN
fcis-22596	116	16	shape	shape	NOUN
fcis-22596	116	17	and	and	CCONJ
fcis-22596	116	18	direction	direction	NOUN
fcis-22596	116	19	.	.	PUNCT
fcis-22596	117	1	they	they	PRON
fcis-22596	117	2	focus	focus	VERB
fcis-22596	117	3	on	on	ADP
fcis-22596	117	4	finding	find	VERB
fcis-22596	117	5	an	an	DET
fcis-22596	117	6	appropriate	appropriate	ADJ
fcis-22596	117	7	step	step	NOUN
fcis-22596	117	8	size	size	NOUN
fcis-22596	117	9	in	in	ADP
fcis-22596	117	10	a	a	DET
fcis-22596	117	11	search	search	NOUN
fcis-22596	117	12	strategy	strategy	NOUN
fcis-22596	117	13	that	that	PRON
fcis-22596	117	14	satisfies	satisfy	VERB
fcis-22596	117	15	certain	certain	ADJ
fcis-22596	117	16	conditions	condition	NOUN
fcis-22596	117	17	,	,	PUNCT
fcis-22596	117	18	such	such	ADJ
fcis-22596	117	19	as	as	ADP
fcis-22596	117	20	sufficient	sufficient	ADJ
fcis-22596	117	21	or	or	CCONJ
fcis-22596	117	22	extensive	extensive	ADJ
fcis-22596	117	23	defects	defect	NOUN
fcis-22596	117	24	.	.	PUNCT
fcis-22596	118	1	line	line	NOUN
fcis-22596	118	2	search	search	NOUN
fcis-22596	118	3	methods	method	NOUN
fcis-22596	118	4	do	do	AUX
fcis-22596	118	5	not	not	PART
fcis-22596	118	6	consider	consider	VERB
fcis-22596	118	7	the	the	DET
fcis-22596	118	8	larger	large	ADJ
fcis-22596	118	9	context	context	NOUN
fcis-22596	118	10	or	or	CCONJ
fcis-22596	118	11	include	include	VERB
fcis-22596	118	12	global	global	ADJ
fcis-22596	118	13	information	information	NOUN
fcis-22596	118	14	about	about	ADP
fcis-22596	118	15	the	the	DET
fcis-22596	118	16	objective	objective	ADJ
fcis-22596	118	17	function	function	NOUN
fcis-22596	118	18	.	.	PUNCT
fcis-22596	119	1	5.2	5.2	NUM
fcis-22596	119	2	.	.	PUNCT
fcis-22596	120	1	convergence	convergence	NOUN
fcis-22596	120	2	properties	property	NOUN
fcis-22596	120	3	the	the	DET
fcis-22596	120	4	trust	trust	NOUN
fcis-22596	120	5	-	-	PUNCT
fcis-22596	120	6	region	region	NOUN
fcis-22596	120	7	method	method	NOUN
fcis-22596	120	8	is	be	AUX
fcis-22596	120	9	known	know	VERB
fcis-22596	120	10	for	for	ADP
fcis-22596	120	11	its	its	PRON
fcis-22596	120	12	robustness	robustness	NOUN
fcis-22596	120	13	and	and	CCONJ
fcis-22596	120	14	ability	ability	NOUN
fcis-22596	120	15	to	to	PART
fcis-22596	120	16	solve	solve	VERB
fcis-22596	120	17	nonconvex	nonconvex	NOUN
fcis-22596	120	18	worst	bad	ADJ
fcis-22596	120	19	-	-	PUNCT
fcis-22596	120	20	case	case	NOUN
fcis-22596	120	21	,	,	PUNCT
fcis-22596	120	22	and	and	CCONJ
fcis-22596	120	23	constrained	constrained	ADJ
fcis-22596	120	24	optimization	optimization	NOUN
fcis-22596	120	25	problems	problem	NOUN
fcis-22596	120	26	.	.	PUNCT
fcis-22596	121	1	the	the	DET
fcis-22596	121	2	balance	balance	NOUN
fcis-22596	121	3	between	between	ADP
fcis-22596	121	4	exploration	exploration	NOUN
fcis-22596	121	5	and	and	CCONJ
fcis-22596	121	6	implementation	implementation	NOUN
fcis-22596	121	7	,	,	PUNCT
fcis-22596	121	8	compliance	compliance	NOUN
fcis-22596	121	9	with	with	ADP
fcis-22596	121	10	step	step	NOUN
fcis-22596	121	11	size	size	NOUN
fcis-22596	121	12	,	,	PUNCT
fcis-22596	121	13	and	and	CCONJ
fcis-22596	121	14	optimization	optimization	NOUN
fcis-22596	121	15	of	of	ADP
fcis-22596	121	16	the	the	DET
fcis-22596	121	17	confidence	confidence	NOUN
fcis-22596	121	18	zone	zone	NOUN
fcis-22596	121	19	leads	lead	VERB
fcis-22596	121	20	to	to	ADP
fcis-22596	121	21	the	the	DET
fcis-22596	121	22	optimization	optimization	NOUN
fcis-22596	121	23	state	state	NOUN
fcis-22596	121	24	.	.	PUNCT
fcis-22596	122	1	depending	depend	VERB
fcis-22596	122	2	on	on	ADP
fcis-22596	122	3	the	the	DET
fcis-22596	122	4	problem	problem	NOUN
fcis-22596	122	5	,	,	PUNCT
fcis-22596	122	6	it	it	PRON
fcis-22596	122	7	can	can	AUX
fcis-22596	122	8	converge	converge	VERB
fcis-22596	122	9	to	to	ADP
fcis-22596	122	10	local	local	ADJ
fcis-22596	122	11	minima	minima	NOUN
fcis-22596	122	12	,	,	PUNCT
fcis-22596	122	13	fixed	fix	VERB
fcis-22596	122	14	points	point	NOUN
fcis-22596	122	15	,	,	PUNCT
fcis-22596	122	16	or	or	CCONJ
fcis-22596	122	17	global	global	ADJ
fcis-22596	122	18	minima	minima	PROPN
fcis-22596	122	19	.	.	PUNCT
fcis-22596	123	1	line	line	NOUN
fcis-22596	123	2	search	search	NOUN
fcis-22596	123	3	methods	method	NOUN
fcis-22596	123	4	are	be	AUX
fcis-22596	123	5	effective	effective	ADJ
fcis-22596	123	6	for	for	ADP
fcis-22596	123	7	convex	convex	NOUN
fcis-22596	123	8	problems	problem	NOUN
fcis-22596	123	9	or	or	CCONJ
fcis-22596	123	10	problems	problem	NOUN
fcis-22596	123	11	where	where	SCONJ
fcis-22596	123	12	the	the	DET
fcis-22596	123	13	aim	aim	NOUN
fcis-22596	123	14	function	function	NOUN
fcis-22596	123	15	is	be	AUX
fcis-22596	123	16	even	even	ADV
fcis-22596	123	17	and	and	CCONJ
fcis-22596	123	18	consistent	consistent	ADJ
fcis-22596	123	19	.	.	PUNCT
fcis-22596	124	1	convergence	convergence	NOUN
fcis-22596	124	2	to	to	ADP
fcis-22596	124	3	a	a	DET
fcis-22596	124	4	certain	certain	ADJ
fcis-22596	124	5	point	point	NOUN
fcis-22596	124	6	is	be	AUX
fcis-22596	124	7	usually	usually	ADV
fcis-22596	124	8	guaranteed	guarantee	VERB
fcis-22596	124	9	for	for	ADP
fcis-22596	124	10	convex	convex	NOUN
fcis-22596	124	11	functions	function	NOUN
fcis-22596	124	12	.	.	PUNCT
fcis-22596	125	1	however	however	ADV
fcis-22596	125	2	,	,	PUNCT
fcis-22596	125	3	they	they	PRON
fcis-22596	125	4	may	may	AUX
fcis-22596	125	5	need	need	VERB
fcis-22596	125	6	help	help	NOUN
fcis-22596	125	7	with	with	ADP
fcis-22596	125	8	nonconvex	nonconvex	NOUN
fcis-22596	125	9	problems	problem	NOUN
fcis-22596	125	10	or	or	CCONJ
fcis-22596	125	11	poor	poor	ADJ
fcis-22596	125	12	-	-	PUNCT
fcis-22596	125	13	quality	quality	NOUN
fcis-22596	125	14	functions	function	NOUN
fcis-22596	125	15	since	since	SCONJ
fcis-22596	125	16	they	they	PRON
fcis-22596	125	17	rely	rely	VERB
fcis-22596	125	18	on	on	ADP
fcis-22596	125	19	local	local	ADJ
fcis-22596	125	20	information	information	NOUN
fcis-22596	125	21	and	and	CCONJ
fcis-22596	125	22	adhere	adhere	VERB
fcis-22596	125	23	to	to	ADP
fcis-22596	125	24	poor	poor	ADJ
fcis-22596	125	25	local	local	ADJ
fcis-22596	125	26	minima	minima	NOUN
fcis-22596	125	27	.	.	PUNCT
fcis-22596	126	1	5.3	5.3	NUM
fcis-22596	126	2	.	.	PUNCT
fcis-22596	126	3	computational	computational	ADJ
fcis-22596	126	4	cost	cost	NOUN
fcis-22596	126	5	the	the	DET
fcis-22596	126	6	trust	trust	NOUN
fcis-22596	126	7	-	-	PUNCT
fcis-22596	126	8	region	region	NOUN
fcis-22596	126	9	method	method	NOUN
fcis-22596	126	10	typically	typically	ADV
fcis-22596	126	11	requires	require	VERB
fcis-22596	126	12	solving	solve	VERB
fcis-22596	126	13	a	a	DET
fcis-22596	126	14	subproblem	subproblem	NOUN
fcis-22596	126	15	in	in	ADP
fcis-22596	126	16	the	the	DET
fcis-22596	126	17	confidence	confidence	NOUN
fcis-22596	126	18	region	region	NOUN
fcis-22596	126	19	at	at	ADP
fcis-22596	126	20	each	each	DET
fcis-22596	126	21	iteration	iteration	NOUN
fcis-22596	126	22	,	,	PUNCT
fcis-22596	126	23	which	which	PRON
fcis-22596	126	24	can	can	AUX
fcis-22596	126	25	be	be	AUX
fcis-22596	126	26	computationally	computationally	ADV
fcis-22596	126	27	expensive	expensive	ADJ
fcis-22596	126	28	.	.	PUNCT
fcis-22596	127	1	the	the	DET
fcis-22596	127	2	sub	sub	NOUN
fcis-22596	127	3	-	-	NOUN
fcis-22596	127	4	problem	problem	NOUN
fcis-22596	127	5	involves	involve	VERB
fcis-22596	127	6	solving	solve	VERB
fcis-22596	127	7	a	a	DET
fcis-22596	127	8	quadratic	quadratic	ADJ
fcis-22596	127	9	or	or	CCONJ
fcis-22596	127	10	nonlinear	nonlinear	ADJ
fcis-22596	127	11	optimization	optimization	NOUN
fcis-22596	127	12	problem	problem	NOUN
fcis-22596	127	13	.	.	PUNCT
fcis-22596	128	1	however	however	ADV
fcis-22596	128	2	,	,	PUNCT
fcis-22596	128	3	modern	modern	ADJ
fcis-22596	128	4	confidence	confidence	NOUN
fcis-22596	128	5	-	-	PUNCT
fcis-22596	128	6	domain	domain	NOUN
fcis-22596	128	7	methods	method	NOUN
fcis-22596	128	8	often	often	ADV
fcis-22596	128	9	use	use	VERB
fcis-22596	128	10	efficient	efficient	ADJ
fcis-22596	128	11	methods	method	NOUN
fcis-22596	128	12	,	,	PUNCT
fcis-22596	128	13	such	such	ADJ
fcis-22596	128	14	as	as	ADP
fcis-22596	128	15	conjugate	conjugate	ADJ
fcis-22596	128	16	gradient	gradient	NOUN
fcis-22596	128	17	methods	method	NOUN
fcis-22596	128	18	or	or	CCONJ
fcis-22596	128	19	approximate	approximate	ADJ
fcis-22596	128	20	hessian	hessian	ADJ
fcis-22596	128	21	statistics	statistic	NOUN
fcis-22596	128	22	,	,	PUNCT
fcis-22596	128	23	to	to	PART
fcis-22596	128	24	reduce	reduce	VERB
fcis-22596	128	25	computational	computational	ADJ
fcis-22596	128	26	cost	cost	NOUN
fcis-22596	128	27	line	line	NOUN
fcis-22596	128	28	search	search	NOUN
fcis-22596	128	29	methods	method	NOUN
fcis-22596	128	30	typically	typically	ADV
fcis-22596	128	31	have	have	VERB
fcis-22596	128	32	lower	low	ADJ
fcis-22596	128	33	computational	computational	ADJ
fcis-22596	128	34	costs	cost	NOUN
fcis-22596	128	35	because	because	SCONJ
fcis-22596	128	36	they	they	PRON
fcis-22596	128	37	require	require	VERB
fcis-22596	128	38	a	a	DET
fcis-22596	128	39	one	one	NUM
fcis-22596	128	40	-	-	PUNCT
fcis-22596	128	41	dimensional	dimensional	ADJ
fcis-22596	128	42	search	search	NOUN
fcis-22596	128	43	only	only	ADV
fcis-22596	128	44	in	in	ADP
fcis-22596	128	45	the	the	DET
fcis-22596	128	46	search	search	NOUN
fcis-22596	128	47	path	path	NOUN
fcis-22596	128	48	.	.	PUNCT
fcis-22596	129	1	line	line	NOUN
fcis-22596	129	2	searches	search	NOUN
fcis-22596	129	3	can	can	AUX
fcis-22596	129	4	be	be	AUX
fcis-22596	129	5	done	do	VERB
fcis-22596	129	6	efficiently	efficiently	ADV
fcis-22596	129	7	with	with	ADP
fcis-22596	129	8	simple	simple	ADJ
fcis-22596	129	9	rules	rule	NOUN
fcis-22596	129	10	or	or	CCONJ
fcis-22596	129	11	conditions	condition	NOUN
fcis-22596	129	12	.	.	PUNCT
fcis-22596	130	1	however	however	ADV
fcis-22596	130	2	,	,	PUNCT
fcis-22596	130	3	more	more	ADJ
fcis-22596	130	4	iterations	iteration	NOUN
fcis-22596	130	5	may	may	AUX
fcis-22596	130	6	be	be	AUX
fcis-22596	130	7	required	require	VERB
fcis-22596	130	8	to	to	PART
fcis-22596	130	9	achieve	achieve	VERB
fcis-22596	130	10	convergence	convergence	NOUN
fcis-22596	130	11	when	when	SCONJ
fcis-22596	130	12	relying	rely	VERB
fcis-22596	130	13	on	on	ADP
fcis-22596	130	14	local	local	ADJ
fcis-22596	130	15	information	information	NOUN
fcis-22596	130	16	and	and	CCONJ
fcis-22596	130	17	not	not	PART
fcis-22596	130	18	considering	consider	VERB
fcis-22596	130	19	the	the	DET
fcis-22596	130	20	overall	overall	ADJ
fcis-22596	130	21	behavior	behavior	NOUN
fcis-22596	130	22	of	of	ADP
fcis-22596	130	23	the	the	DET
fcis-22596	130	24	objective	objective	ADJ
fcis-22596	130	25	function	function	NOUN
fcis-22596	130	26	(	(	PUNCT
fcis-22596	130	27	conn	conn	PROPN
fcis-22596	130	28	et	et	PROPN
fcis-22596	130	29	al	al	PROPN
fcis-22596	130	30	.	.	PROPN
fcis-22596	130	31	,	,	PUNCT
fcis-22596	130	32	2020	2020	NUM
fcis-22596	130	33	)	)	PUNCT
fcis-22596	130	34	.	.	PUNCT
fcis-22596	131	1	6	6	X
fcis-22596	131	2	.	.	X
fcis-22596	131	3	conclusion	conclusion	NOUN
fcis-22596	131	4	in	in	ADP
fcis-22596	131	5	conclusion	conclusion	NOUN
fcis-22596	131	6	,	,	PUNCT
fcis-22596	131	7	when	when	SCONJ
fcis-22596	131	8	calculating	calculate	VERB
fcis-22596	131	9	the	the	DET
fcis-22596	131	10	step	step	NOUN
fcis-22596	131	11	size	size	NOUN
fcis-22596	131	12	and	and	CCONJ
fcis-22596	131	13	direction	direction	NOUN
fcis-22596	131	14	,	,	PUNCT
fcis-22596	131	15	the	the	DET
fcis-22596	131	16	trust	trust	NOUN
fcis-22596	131	17	-	-	PUNCT
fcis-22596	131	18	region	region	NOUN
fcis-22596	131	19	together	together	ADV
fcis-22596	131	20	with	with	ADP
fcis-22596	131	21	the	the	DET
fcis-22596	131	22	line	line	NOUN
fcis-22596	131	23	search	search	NOUN
fcis-22596	131	24	methods	method	NOUN
fcis-22596	131	25	take	take	VERB
fcis-22596	131	26	two	two	NUM
fcis-22596	131	27	entirely	entirely	ADV
fcis-22596	131	28	different	different	ADJ
fcis-22596	131	29	approaches	approach	NOUN
fcis-22596	131	30	.	.	PUNCT
fcis-22596	132	1	while	while	SCONJ
fcis-22596	132	2	line	line	NOUN
fcis-22596	132	3	search	search	NOUN
fcis-22596	132	4	methods	method	NOUN
fcis-22596	132	5	concentrate	concentrate	VERB
fcis-22596	132	6	on	on	ADP
fcis-22596	132	7	local	local	ADJ
fcis-22596	132	8	information	information	NOUN
fcis-22596	132	9	and	and	CCONJ
fcis-22596	132	10	optimize	optimize	VERB
fcis-22596	132	11	more	more	ADV
fcis-22596	132	12	significant	significant	ADJ
fcis-22596	132	13	steps	step	NOUN
fcis-22596	132	14	in	in	ADP
fcis-22596	132	15	the	the	DET
fcis-22596	132	16	search	search	NOUN
fcis-22596	132	17	direction	direction	NOUN
fcis-22596	132	18	,	,	PUNCT
fcis-22596	132	19	trust	trust	NOUN
fcis-22596	132	20	-	-	PUNCT
fcis-22596	132	21	region	region	NOUN
fcis-22596	132	22	approaches	approach	NOUN
fcis-22596	132	23	take	take	VERB
fcis-22596	132	24	a	a	DET
fcis-22596	132	25	global	global	ADJ
fcis-22596	132	26	perspective	perspective	NOUN
fcis-22596	132	27	,	,	PUNCT
fcis-22596	132	28	develop	develop	VERB
fcis-22596	132	29	local	local	ADJ
fcis-22596	132	30	models	model	NOUN
fcis-22596	132	31	,	,	PUNCT
fcis-22596	132	32	and	and	CCONJ
fcis-22596	132	33	dynamically	dynamically	ADV
fcis-22596	132	34	adjust	adjust	VERB
fcis-22596	132	35	trust	trust	NOUN
fcis-22596	132	36	regions	region	NOUN
fcis-22596	132	37	(	(	PUNCT
fcis-22596	132	38	yuan	yuan	NOUN
fcis-22596	132	39	,	,	PUNCT
fcis-22596	132	40	2019	2019	NUM
fcis-22596	132	41	)	)	PUNCT
fcis-22596	132	42	.	.	PUNCT
fcis-22596	133	1	references	reference	NOUN
fcis-22596	133	2	[	[	X
fcis-22596	133	3	1	1	NUM
fcis-22596	133	4	]	]	SYM
fcis-22596	133	5	conn	conn	PROPN
fcis-22596	133	6	,	,	PUNCT
fcis-22596	133	7	a.	a.	PROPN
fcis-22596	133	8	r.	r.	PROPN
fcis-22596	133	9	,	,	PUNCT
fcis-22596	133	10	gould	gould	PROPN
fcis-22596	133	11	,	,	PUNCT
fcis-22596	133	12	n.	n.	PROPN
fcis-22596	133	13	i.	i.	PROPN
fcis-22596	133	14	,	,	PUNCT
fcis-22596	133	15	&	&	CCONJ
fcis-22596	133	16	toint	toint	NOUN
fcis-22596	133	17	,	,	PUNCT
fcis-22596	133	18	p.	p.	NOUN
fcis-22596	133	19	l.	l.	PROPN
fcis-22596	133	20	(	(	PUNCT
fcis-22596	133	21	2020	2020	NUM
fcis-22596	133	22	)	)	PUNCT
fcis-22596	133	23	.	.	PUNCT
fcis-22596	134	1	trust	trust	NOUN
fcis-22596	134	2	region	region	NOUN
fcis-22596	134	3	methods	method	NOUN
fcis-22596	134	4	—	—	PUNCT
fcis-22596	134	5	society	society	NOUN
fcis-22596	134	6	for	for	ADP
fcis-22596	134	7	industrial	industrial	ADJ
fcis-22596	134	8	and	and	CCONJ
fcis-22596	134	9	applied	applied	ADJ
fcis-22596	134	10	mathematics	mathematic	NOUN
fcis-22596	134	11	.	.	PUNCT
fcis-22596	135	1	[	[	X
fcis-22596	135	2	2	2	NUM
fcis-22596	135	3	]	]	X
fcis-22596	135	4	yuan	yuan	NOUN
fcis-22596	135	5	,	,	PUNCT
fcis-22596	135	6	y.	y.	PROPN
fcis-22596	135	7	x.	x.	PROPN
fcis-22596	135	8	(	(	PUNCT
fcis-22596	135	9	2020	2020	NUM
fcis-22596	135	10	)	)	PUNCT
fcis-22596	135	11	.	.	PUNCT
fcis-22596	136	1	a	a	DET
fcis-22596	136	2	review	review	NOUN
fcis-22596	136	3	of	of	ADP
fcis-22596	136	4	trust	trust	NOUN
fcis-22596	136	5	region	region	NOUN
fcis-22596	136	6	algorithms	algorithm	NOUN
fcis-22596	136	7	for	for	ADP
fcis-22596	136	8	optimization	optimization	NOUN
fcis-22596	136	9	.	.	PUNCT
fcis-22596	137	1	in	in	ADP
fcis-22596	137	2	iciam	iciam	PROPN
fcis-22596	137	3	(	(	PUNCT
fcis-22596	137	4	vol	vol	NOUN
fcis-22596	137	5	.	.	PROPN
fcis-22596	137	6	99	99	NUM
fcis-22596	137	7	,	,	PUNCT
fcis-22596	137	8	no	no	INTJ
fcis-22596	137	9	.	.	NOUN
fcis-22596	137	10	1	1	NUM
fcis-22596	137	11	,	,	PUNCT
fcis-22596	137	12	pp	pp	ADJ
fcis-22596	137	13	.	.	PUNCT
fcis-22596	138	1	271	271	NUM
fcis-22596	138	2	-	-	SYM
fcis-22596	138	3	282	282	NUM
fcis-22596	138	4	)	)	PUNCT
fcis-22596	138	5	.	.	PUNCT
fcis-22596	139	1	[	[	X
fcis-22596	139	2	3	3	NUM
fcis-22596	139	3	]	]	X
fcis-22596	139	4	yuan	yuan	NOUN
fcis-22596	139	5	,	,	PUNCT
fcis-22596	139	6	y.	y.	PROPN
fcis-22596	139	7	x.	x.	PROPN
fcis-22596	139	8	(	(	PUNCT
fcis-22596	139	9	2019	2019	NUM
fcis-22596	139	10	)	)	PUNCT
fcis-22596	139	11	.	.	PUNCT
fcis-22596	140	1	recent	recent	ADJ
fcis-22596	140	2	advances	advance	NOUN
fcis-22596	140	3	in	in	ADP
fcis-22596	140	4	trust	trust	NOUN
fcis-22596	140	5	region	region	NOUN
fcis-22596	140	6	algorithms	algorithm	NOUN
fcis-22596	140	7	.	.	PUNCT
fcis-22596	141	1	mathematical	mathematical	ADJ
fcis-22596	141	2	programming	programming	NOUN
fcis-22596	141	3	,	,	PUNCT
fcis-22596	141	4	pp	pp	ADJ
fcis-22596	141	5	.	.	PUNCT
fcis-22596	141	6	151	151	NUM
fcis-22596	141	7	,	,	PUNCT
fcis-22596	141	8	249–281	249–281	NUM
fcis-22596	141	9	.	.	PUNCT
fcis-22596	142	1	[	[	X
fcis-22596	142	2	4	4	NUM
fcis-22596	142	3	]	]	SYM
fcis-22596	142	4	moré	moré	PROPN
fcis-22596	142	5	,	,	PUNCT
fcis-22596	142	6	j.	j.	PROPN
fcis-22596	142	7	j.	j.	PROPN
fcis-22596	142	8	(	(	PUNCT
fcis-22596	142	9	2020	2020	NUM
fcis-22596	142	10	)	)	PUNCT
fcis-22596	142	11	.	.	PUNCT
fcis-22596	143	1	recent	recent	ADJ
fcis-22596	143	2	developments	development	NOUN
fcis-22596	143	3	in	in	ADP
fcis-22596	143	4	algorithms	algorithm	NOUN
fcis-22596	143	5	and	and	CCONJ
fcis-22596	143	6	software	software	NOUN
fcis-22596	143	7	for	for	ADP
fcis-22596	143	8	trust	trust	NOUN
fcis-22596	143	9	region	region	NOUN
fcis-22596	143	10	methods	method	NOUN
fcis-22596	143	11	(	(	PUNCT
fcis-22596	143	12	pp	pp	ADJ
fcis-22596	143	13	.	.	PUNCT
fcis-22596	144	1	258–287	258–287	NUM
fcis-22596	144	2	)	)	PUNCT
fcis-22596	144	3	.	.	PUNCT
fcis-22596	145	1	springer	springer	PROPN
fcis-22596	145	2	berlin	berlin	PROPN
fcis-22596	145	3	heidelberg	heidelberg	PROPN
fcis-22596	145	4	.	.	PUNCT
fcis-22596	146	1	[	[	X
fcis-22596	146	2	5	5	NUM
fcis-22596	146	3	]	]	X
fcis-22596	146	4	nocedal	nocedal	NOUN
fcis-22596	146	5	,	,	PUNCT
fcis-22596	146	6	j.	j.	PROPN
fcis-22596	146	7	,	,	PUNCT
fcis-22596	146	8	&	&	CCONJ
fcis-22596	146	9	wright	wright	PROPN
fcis-22596	146	10	,	,	PUNCT
fcis-22596	146	11	s.	s.	PROPN
fcis-22596	146	12	j.	j.	PROPN
fcis-22596	146	13	(	(	PUNCT
fcis-22596	146	14	2002	2002	NUM
fcis-22596	146	15	)	)	PUNCT
fcis-22596	146	16	.	.	PUNCT
fcis-22596	147	1	trust	trust	NOUN
fcis-22596	147	2	-	-	PUNCT
fcis-22596	147	3	region	region	NOUN
fcis-22596	147	4	methods	method	NOUN
fcis-22596	147	5	.	.	PUNCT
fcis-22596	148	1	numerical	numerical	PROPN
fcis-22596	148	2	optimization	optimization	PROPN
fcis-22596	148	3	,	,	PUNCT
fcis-22596	148	4	66	66	NUM
fcis-22596	148	5	-	-	SYM
fcis-22596	148	6	100	100	NUM
fcis-22596	148	7	.	.	PUNCT