id	sid	tid	token	lemma	pos
bjmsr-313	1	1	comparative	comparative	ADJ
bjmsr-313	1	2	study	study	NOUN
bjmsr-313	1	3	of	of	ADP
bjmsr-313	1	4	the	the	DET
bjmsr-313	1	5	l1	l1	PROPN
bjmsr-313	1	6	norm	norm	NOUN
bjmsr-313	1	7	regression	regression	NOUN
bjmsr-313	1	8	algorithms	algorithm	VERB
bjmsr-313	1	9	copyright	copyright	NOUN
bjmsr-313	1	10	©	©	PROPN
bjmsr-313	1	11	cc	cc	PROPN
bjmsr-313	1	12	-	-	PUNCT
bjmsr-313	1	13	by	by	ADP
bjmsr-313	1	14	-	-	PUNCT
bjmsr-313	1	15	nc	nc	PROPN
bjmsr-313	1	16	2019	2019	NUM
bjmsr-313	1	17	,	,	PUNCT
bjmsr-313	1	18	bjmsr	bjmsr	PROPN
bjmsr-313	1	19	bangladesh	bangladesh	PROPN
bjmsr-313	1	20	journal	journal	PROPN
bjmsr-313	1	21	of	of	ADP
bjmsr-313	1	22	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	1	23	scientific	scientific	ADJ
bjmsr-313	1	24	research	research	NOUN
bjmsr-313	1	25	vol	vol	NOUN
bjmsr-313	1	26	.	.	PROPN
bjmsr-313	2	1	1	1	NUM
bjmsr-313	2	2	,	,	PUNCT
bjmsr-313	2	3	no	no	INTJ
bjmsr-313	2	4	.	.	NOUN
bjmsr-313	2	5	1	1	NUM
bjmsr-313	2	6	april	april	PROPN
bjmsr-313	2	7	-	-	PUNCT
bjmsr-313	2	8	june	june	PROPN
bjmsr-313	2	9	;	;	PUNCT
bjmsr-313	2	10	2019	2019	NUM
bjmsr-313	2	11	published	publish	VERB
bjmsr-313	2	12	by	by	ADP
bjmsr-313	2	13	centre	centre	NOUN
bjmsr-313	2	14	for	for	ADP
bjmsr-313	2	15	research	research	NOUN
bjmsr-313	2	16	on	on	ADP
bjmsr-313	2	17	islamic	islamic	ADJ
bjmsr-313	2	18	banking	banking	PROPN
bjmsr-313	2	19	&	&	CCONJ
bjmsr-313	2	20	finance	finance	PROPN
bjmsr-313	2	21	and	and	CCONJ
bjmsr-313	2	22	business	business	NOUN
bjmsr-313	2	23	31	31	NUM
bjmsr-313	2	24	comparative	comparative	ADJ
bjmsr-313	2	25	study	study	NOUN
bjmsr-313	2	26	of	of	ADP
bjmsr-313	2	27	the	the	DET
bjmsr-313	2	28	l1	l1	PROPN
bjmsr-313	2	29	norm	norm	PROPN
bjmsr-313	2	30	regression	regression	NOUN
bjmsr-313	2	31	algorithms	algorithm	NOUN
bjmsr-313	2	32	bijan	bijan	PROPN
bjmsr-313	3	1	bidabad	bidabad	PROPN
bjmsr-313	3	2	b.a	b.a	PROPN
bjmsr-313	3	3	.	.	PROPN
bjmsr-313	3	4	,	,	PUNCT
bjmsr-313	3	5	m.sc	m.sc	PROPN
bjmsr-313	3	6	.	.	PROPN
bjmsr-313	3	7	,	,	PUNCT
bjmsr-313	3	8	ph.d	ph.d	PROPN
bjmsr-313	3	9	.	.	PROPN
bjmsr-313	3	10	,	,	PUNCT
bjmsr-313	3	11	post	post	PROPN
bjmsr-313	3	12	-	-	ADJ
bjmsr-313	3	13	doc	doc	ADJ
bjmsr-313	3	14	.	.	PROPN
bjmsr-313	4	1	professor	professor	NOUN
bjmsr-313	4	2	economics	economic	NOUN
bjmsr-313	4	3	and	and	CCONJ
bjmsr-313	4	4	chief	chief	ADJ
bjmsr-313	4	5	islamic	islamic	PROPN
bjmsr-313	4	6	banking	banking	PROPN
bjmsr-313	4	7	advisor	advisor	PROPN
bjmsr-313	4	8	bank	bank	PROPN
bjmsr-313	4	9	melli	melli	PROPN
bjmsr-313	4	10	,	,	PUNCT
bjmsr-313	4	11	iran	iran	PROPN
bjmsr-313	4	12	e-mail:bijan@bidabad.com	e-mail:bijan@bidabad.com	X
bjmsr-313	5	1	abstract	abstract	ADJ
bjmsr-313	5	2	this	this	DET
bjmsr-313	5	3	paper	paper	NOUN
bjmsr-313	5	4	tries	try	VERB
bjmsr-313	5	5	to	to	PART
bjmsr-313	5	6	compare	compare	VERB
bjmsr-313	5	7	more	more	ADV
bjmsr-313	5	8	accurate	accurate	ADJ
bjmsr-313	5	9	and	and	CCONJ
bjmsr-313	5	10	efficient	efficient	ADJ
bjmsr-313	5	11	l1	l1	PROPN
bjmsr-313	5	12	norm	norm	NOUN
bjmsr-313	5	13	regression	regression	NOUN
bjmsr-313	5	14	algorithms	algorithm	NOUN
bjmsr-313	5	15	.	.	PUNCT
bjmsr-313	6	1	other	other	ADJ
bjmsr-313	6	2	comparative	comparative	ADJ
bjmsr-313	6	3	studies	study	NOUN
bjmsr-313	6	4	are	be	AUX
bjmsr-313	6	5	mentioned	mention	VERB
bjmsr-313	6	6	,	,	PUNCT
bjmsr-313	6	7	and	and	CCONJ
bjmsr-313	6	8	their	their	PRON
bjmsr-313	6	9	conclusions	conclusion	NOUN
bjmsr-313	6	10	are	be	AUX
bjmsr-313	6	11	discussed	discuss	VERB
bjmsr-313	6	12	.	.	PUNCT
bjmsr-313	7	1	many	many	ADJ
bjmsr-313	7	2	experiments	experiment	NOUN
bjmsr-313	7	3	have	have	AUX
bjmsr-313	7	4	been	be	AUX
bjmsr-313	7	5	performed	perform	VERB
bjmsr-313	7	6	to	to	PART
bjmsr-313	7	7	evaluate	evaluate	VERB
bjmsr-313	7	8	the	the	DET
bjmsr-313	7	9	comparative	comparative	ADJ
bjmsr-313	7	10	efficiency	efficiency	NOUN
bjmsr-313	7	11	and	and	CCONJ
bjmsr-313	7	12	accuracy	accuracy	NOUN
bjmsr-313	7	13	of	of	ADP
bjmsr-313	7	14	the	the	DET
bjmsr-313	7	15	selected	select	VERB
bjmsr-313	7	16	algorithms	algorithm	NOUN
bjmsr-313	7	17	.	.	PUNCT
bjmsr-313	8	1	keywords	keyword	NOUN
bjmsr-313	8	2	:	:	PUNCT
bjmsr-313	8	3	l1	l1	PROPN
bjmsr-313	8	4	norm	norm	NOUN
bjmsr-313	8	5	,	,	PUNCT
bjmsr-313	8	6	regression	regression	NOUN
bjmsr-313	8	7	,	,	PUNCT
bjmsr-313	8	8	algorithm	algorithm	NOUN
bjmsr-313	8	9	,	,	PUNCT
bjmsr-313	8	10	computer	computer	NOUN
bjmsr-313	8	11	program	program	NOUN
bjmsr-313	8	12	1	1	NUM
bjmsr-313	8	13	.	.	PUNCT
bjmsr-313	8	14	introduction	introduction	NOUN
bjmsr-313	8	15	the	the	DET
bjmsr-313	8	16	objective	objective	NOUN
bjmsr-313	8	17	of	of	ADP
bjmsr-313	8	18	this	this	DET
bjmsr-313	8	19	paper	paper	NOUN
bjmsr-313	8	20	is	be	AUX
bjmsr-313	8	21	to	to	PART
bjmsr-313	8	22	compare	compare	VERB
bjmsr-313	8	23	some	some	PRON
bjmsr-313	8	24	of	of	ADP
bjmsr-313	8	25	the	the	DET
bjmsr-313	8	26	existing	exist	VERB
bjmsr-313	8	27	algorithms	algorithm	NOUN
bjmsr-313	8	28	for	for	ADP
bjmsr-313	8	29	the	the	DET
bjmsr-313	8	30	l1	l1	PROPN
bjmsr-313	8	31	norm	norm	NOUN
bjmsr-313	8	32	regression	regression	NOUN
bjmsr-313	8	33	with	with	ADP
bjmsr-313	8	34	those	those	PRON
bjmsr-313	8	35	proposed	propose	VERB
bjmsr-313	8	36	by	by	ADP
bjmsr-313	8	37	bidabad	bidabad	NOUN
bjmsr-313	8	38	(	(	PUNCT
bjmsr-313	8	39	1989a	1989a	NUM
bjmsr-313	8	40	,	,	PUNCT
bjmsr-313	8	41	b	b	NOUN
bjmsr-313	8	42	)	)	PUNCT
bjmsr-313	8	43	.	.	PUNCT
bjmsr-313	9	1	our	our	PRON
bjmsr-313	9	2	point	point	NOUN
bjmsr-313	9	3	of	of	ADP
bjmsr-313	9	4	view	view	NOUN
bjmsr-313	9	5	is	be	AUX
bjmsr-313	9	6	to	to	PART
bjmsr-313	9	7	compare	compare	VERB
bjmsr-313	9	8	the	the	DET
bjmsr-313	9	9	accuracy	accuracy	NOUN
bjmsr-313	9	10	and	and	CCONJ
bjmsr-313	9	11	relative	relative	ADJ
bjmsr-313	9	12	efficiencies	efficiency	NOUN
bjmsr-313	9	13	of	of	ADP
bjmsr-313	9	14	them	they	PRON
bjmsr-313	9	15	.	.	PUNCT
bjmsr-313	10	1	in	in	ADP
bjmsr-313	10	2	this	this	DET
bjmsr-313	10	3	respect	respect	NOUN
bjmsr-313	10	4	,	,	PUNCT
bjmsr-313	10	5	accuracy	accuracy	NOUN
bjmsr-313	10	6	of	of	ADP
bjmsr-313	10	7	the	the	DET
bjmsr-313	10	8	solution	solution	NOUN
bjmsr-313	10	9	of	of	ADP
bjmsr-313	10	10	the	the	DET
bjmsr-313	10	11	algorithms	algorithms	NOUN
bjmsr-313	10	12	is	be	AUX
bjmsr-313	10	13	more	more	ADV
bjmsr-313	10	14	important	important	ADJ
bjmsr-313	10	15	than	than	ADP
bjmsr-313	10	16	the	the	DET
bjmsr-313	10	17	other	other	ADJ
bjmsr-313	10	18	criteria	criterion	NOUN
bjmsr-313	10	19	.	.	PUNCT
bjmsr-313	11	1	by	by	ADP
bjmsr-313	11	2	the	the	DET
bjmsr-313	11	3	term	term	NOUN
bjmsr-313	11	4	accuracy	accuracy	NOUN
bjmsr-313	11	5	we	we	PRON
bjmsr-313	11	6	mean	mean	VERB
bjmsr-313	11	7	,	,	PUNCT
bjmsr-313	11	8	reaching	reach	VERB
bjmsr-313	11	9	the	the	DET
bjmsr-313	11	10	correct	correct	ADJ
bjmsr-313	11	11	solution	solution	NOUN
bjmsr-313	11	12	in	in	ADP
bjmsr-313	11	13	a	a	DET
bjmsr-313	11	14	finite	finite	ADJ
bjmsr-313	11	15	number	number	NOUN
bjmsr-313	11	16	of	of	ADP
bjmsr-313	11	17	steps	step	NOUN
bjmsr-313	11	18	or	or	CCONJ
bjmsr-313	11	19	iterations	iteration	NOUN
bjmsr-313	11	20	.	.	PUNCT
bjmsr-313	12	1	by	by	ADP
bjmsr-313	12	2	efficiency	efficiency	NOUN
bjmsr-313	12	3	,	,	PUNCT
bjmsr-313	12	4	we	we	PRON
bjmsr-313	12	5	mean	mean	VERB
bjmsr-313	12	6	that	that	SCONJ
bjmsr-313	12	7	the	the	DET
bjmsr-313	12	8	algorithm	algorithm	NOUN
bjmsr-313	12	9	performs	perform	VERB
bjmsr-313	12	10	with	with	ADP
bjmsr-313	12	11	a	a	DET
bjmsr-313	12	12	smaller	small	ADJ
bjmsr-313	12	13	amount	amount	NOUN
bjmsr-313	12	14	of	of	ADP
bjmsr-313	12	15	required	require	VERB
bjmsr-313	12	16	storage	storage	NOUN
bjmsr-313	12	17	and	and	CCONJ
bjmsr-313	12	18	execution	execution	NOUN
bjmsr-313	12	19	time	time	NOUN
bjmsr-313	12	20	to	to	PART
bjmsr-313	12	21	reach	reach	VERB
bjmsr-313	12	22	the	the	DET
bjmsr-313	12	23	accurate	accurate	ADJ
bjmsr-313	12	24	optimal	optimal	ADJ
bjmsr-313	12	25	solution	solution	NOUN
bjmsr-313	12	26	.	.	PUNCT
bjmsr-313	13	1	generally	generally	ADV
bjmsr-313	13	2	,	,	PUNCT
bjmsr-313	13	3	the	the	DET
bjmsr-313	13	4	comparison	comparison	NOUN
bjmsr-313	13	5	of	of	ADP
bjmsr-313	13	6	algorithms	algorithm	NOUN
bjmsr-313	13	7	is	be	AUX
bjmsr-313	13	8	not	not	PART
bjmsr-313	13	9	a	a	DET
bjmsr-313	13	10	straightforward	straightforward	ADJ
bjmsr-313	13	11	task	task	NOUN
bjmsr-313	13	12	.	.	PUNCT
bjmsr-313	14	1	as	as	SCONJ
bjmsr-313	14	2	it	it	PRON
bjmsr-313	14	3	is	be	AUX
bjmsr-313	14	4	indicated	indicate	VERB
bjmsr-313	14	5	by	by	ADP
bjmsr-313	14	6	dutter	dutter	NOUN
bjmsr-313	14	7	(	(	PUNCT
bjmsr-313	14	8	1977	1977	NUM
bjmsr-313	14	9	)	)	PUNCT
bjmsr-313	14	10	,	,	PUNCT
bjmsr-313	14	11	factors	factor	NOUN
bjmsr-313	14	12	such	such	ADJ
bjmsr-313	14	13	as	as	ADP
bjmsr-313	14	14	quality	quality	NOUN
bjmsr-313	14	15	of	of	ADP
bjmsr-313	14	16	computer	computer	NOUN
bjmsr-313	14	17	codes	code	NOUN
bjmsr-313	14	18	and	and	CCONJ
bjmsr-313	14	19	computing	compute	VERB
bjmsr-313	14	20	environment	environment	NOUN
bjmsr-313	14	21	should	should	AUX
bjmsr-313	14	22	be	be	AUX
bjmsr-313	14	23	considered	consider	VERB
bjmsr-313	14	24	.	.	PUNCT
bjmsr-313	15	1	in	in	ADP
bjmsr-313	15	2	the	the	DET
bjmsr-313	15	3	case	case	NOUN
bjmsr-313	15	4	of	of	ADP
bjmsr-313	15	5	the	the	DET
bjmsr-313	15	6	l1	l1	PROPN
bjmsr-313	15	7	norm	norm	PROPN
bjmsr-313	15	8	algorithms	algorithm	NOUN
bjmsr-313	15	9	,	,	PUNCT
bjmsr-313	15	10	three	three	NUM
bjmsr-313	15	11	specific	specific	ADJ
bjmsr-313	15	12	factors	factor	NOUN
bjmsr-313	15	13	of	of	ADP
bjmsr-313	15	14	the	the	DET
bjmsr-313	15	15	number	number	NOUN
bjmsr-313	15	16	of	of	ADP
bjmsr-313	15	17	observations	observation	NOUN
bjmsr-313	15	18	,	,	PUNCT
bjmsr-313	15	19	number	number	NOUN
bjmsr-313	15	20	of	of	ADP
bjmsr-313	15	21	parameters	parameter	NOUN
bjmsr-313	15	22	,	,	PUNCT
bjmsr-313	15	23	and	and	CCONJ
bjmsr-313	15	24	the	the	DET
bjmsr-313	15	25	condition	condition	NOUN
bjmsr-313	15	26	of	of	ADP
bjmsr-313	15	27	data	datum	NOUN
bjmsr-313	15	28	are	be	AUX
bjmsr-313	15	29	more	more	ADV
bjmsr-313	15	30	important	important	ADJ
bjmsr-313	15	31	.	.	PUNCT
bjmsr-313	16	1	kennedy	kennedy	PROPN
bjmsr-313	16	2	and	and	CCONJ
bjmsr-313	16	3	gentle	gentle	ADJ
bjmsr-313	16	4	and	and	CCONJ
bjmsr-313	16	5	sposito	sposito	X
bjmsr-313	16	6	(	(	PUNCT
bjmsr-313	16	7	1977a	1977a	NUM
bjmsr-313	16	8	,	,	PUNCT
bjmsr-313	16	9	b	b	NOUN
bjmsr-313	16	10	)	)	PUNCT
bjmsr-313	16	11	,	,	PUNCT
bjmsr-313	16	12	and	and	CCONJ
bjmsr-313	16	13	hoffman	hoffman	NOUN
bjmsr-313	16	14	and	and	CCONJ
bjmsr-313	16	15	shier	shy	ADJ
bjmsr-313	16	16	(	(	PUNCT
bjmsr-313	16	17	1980a	1980a	NUM
bjmsr-313	16	18	,	,	PUNCT
bjmsr-313	16	19	b	b	X
bjmsr-313	16	20	)	)	PUNCT
bjmsr-313	16	21	describe	describe	VERB
bjmsr-313	16	22	methods	method	NOUN
bjmsr-313	16	23	for	for	ADP
bjmsr-313	16	24	generating	generate	VERB
bjmsr-313	16	25	random	random	ADJ
bjmsr-313	16	26	test	test	NOUN
bjmsr-313	16	27	data	datum	NOUN
bjmsr-313	16	28	with	with	ADP
bjmsr-313	16	29	known	know	VERB
bjmsr-313	16	30	l1	l1	PROPN
bjmsr-313	16	31	norm	norm	NOUN
bjmsr-313	16	32	solution	solution	NOUN
bjmsr-313	16	33	vectors	vector	NOUN
bjmsr-313	16	34	.	.	PUNCT
bjmsr-313	17	1	gilsinn	gilsinn	VERB
bjmsr-313	17	2	et	et	PROPN
bjmsr-313	17	3	al	al	PROPN
bjmsr-313	17	4	.	.	PROPN
bjmsr-313	18	1	(	(	PUNCT
bjmsr-313	18	2	1977	1977	NUM
bjmsr-313	18	3	)	)	PUNCT
bjmsr-313	18	4	discuss	discuss	VERB
bjmsr-313	18	5	a	a	DET
bjmsr-313	18	6	general	general	ADJ
bjmsr-313	18	7	methodology	methodology	NOUN
bjmsr-313	18	8	for	for	ADP
bjmsr-313	18	9	comparing	compare	VERB
bjmsr-313	18	10	the	the	DET
bjmsr-313	18	11	l1	l1	PROPN
bjmsr-313	18	12	norm	norm	NOUN
bjmsr-313	18	13	algorithms	algorithms	PROPN
bjmsr-313	18	14	.	.	PUNCT
bjmsr-313	19	1	kennedy	kennedy	PROPN
bjmsr-313	19	2	and	and	CCONJ
bjmsr-313	19	3	gentle	gentle	ADJ
bjmsr-313	19	4	(	(	PUNCT
bjmsr-313	19	5	1977	1977	NUM
bjmsr-313	19	6	)	)	PUNCT
bjmsr-313	19	7	examine	examine	VERB
bjmsr-313	19	8	the	the	DET
bjmsr-313	19	9	rounding	round	VERB
bjmsr-313	19	10	error	error	NOUN
bjmsr-313	19	11	of	of	ADP
bjmsr-313	19	12	l1	l1	PROPN
bjmsr-313	19	13	norm	norm	NOUN
bjmsr-313	19	14	regression	regression	NOUN
bjmsr-313	19	15	and	and	CCONJ
bjmsr-313	19	16	present	present	VERB
bjmsr-313	19	17	two	two	NUM
bjmsr-313	19	18	techniques	technique	NOUN
bjmsr-313	19	19	for	for	ADP
bjmsr-313	19	20	detecting	detect	VERB
bjmsr-313	19	21	inaccuracies	inaccuracy	NOUN
bjmsr-313	19	22	of	of	ADP
bjmsr-313	19	23	the	the	DET
bjmsr-313	19	24	computation	computation	NOUN
bjmsr-313	19	25	(	(	PUNCT
bjmsr-313	19	26	see	see	VERB
bjmsr-313	19	27	also	also	ADV
bjmsr-313	19	28	,	,	PUNCT
bjmsr-313	19	29	larson	larson	PROPN
bjmsr-313	19	30	and	and	CCONJ
bjmsr-313	19	31	sameh	sameh	NOUN
bjmsr-313	19	32	(	(	PUNCT
bjmsr-313	19	33	1980	1980	NUM
bjmsr-313	19	34	)	)	PUNCT
bjmsr-313	19	35	)	)	PUNCT
bjmsr-313	19	36	.	.	PUNCT
bjmsr-313	20	1	many	many	ADJ
bjmsr-313	20	2	authors	author	NOUN
bjmsr-313	20	3	have	have	AUX
bjmsr-313	20	4	compared	compare	VERB
bjmsr-313	20	5	their	their	PRON
bjmsr-313	20	6	own	own	ADJ
bjmsr-313	20	7	algorithms	algorithm	NOUN
bjmsr-313	20	8	with	with	ADP
bjmsr-313	20	9	those	those	PRON
bjmsr-313	20	10	already	already	ADV
bjmsr-313	20	11	proposed	propose	VERB
bjmsr-313	20	12	.	.	PUNCT
bjmsr-313	21	1	table	table	NOUN
bjmsr-313	21	2	1	1	NUM
bjmsr-313	21	3	gives	give	VERB
bjmsr-313	21	4	a	a	DET
bjmsr-313	21	5	summary	summary	NOUN
bjmsr-313	21	6	of	of	ADP
bjmsr-313	21	7	the	the	DET
bjmsr-313	21	8	characteristics	characteristic	NOUN
bjmsr-313	21	9	of	of	ADP
bjmsr-313	21	10	the	the	DET
bjmsr-313	21	11	algorithms	algorithm	NOUN
bjmsr-313	21	12	proposed	propose	VERB
bjmsr-313	21	13	by	by	ADP
bjmsr-313	21	14	different	different	ADJ
bjmsr-313	21	15	authors	author	NOUN
bjmsr-313	21	16	.	.	PUNCT
bjmsr-313	22	1	it	it	PRON
bjmsr-313	22	2	is	be	AUX
bjmsr-313	22	3	important	important	ADJ
bjmsr-313	22	4	to	to	PART
bjmsr-313	22	5	note	note	VERB
bjmsr-313	22	6	that	that	SCONJ
bjmsr-313	22	7	since	since	SCONJ
bjmsr-313	22	8	the	the	DET
bjmsr-313	22	9	computing	computing	NOUN
bjmsr-313	22	10	environment	environment	NOUN
bjmsr-313	22	11	and	and	CCONJ
bjmsr-313	22	12	condition	condition	NOUN
bjmsr-313	22	13	of	of	ADP
bjmsr-313	22	14	data	datum	NOUN
bjmsr-313	22	15	with	with	ADP
bjmsr-313	22	16	respect	respect	NOUN
bjmsr-313	22	17	to	to	ADP
bjmsr-313	22	18	the	the	DET
bjmsr-313	22	19	distribution	distribution	NOUN
bjmsr-313	22	20	of	of	ADP
bjmsr-313	22	21	the	the	DET
bjmsr-313	22	22	regression	regression	NOUN
bjmsr-313	22	23	errors	error	NOUN
bjmsr-313	22	24	of	of	ADP
bjmsr-313	22	25	the	the	DET
bjmsr-313	22	26	presented	present	VERB
bjmsr-313	22	27	algorithms	algorithm	NOUN
bjmsr-313	22	28	by	by	ADP
bjmsr-313	22	29	table	table	NOUN
bjmsr-313	22	30	1	1	NUM
bjmsr-313	22	31	are	be	AUX
bjmsr-313	22	32	not	not	PART
bjmsr-313	22	33	the	the	DET
bjmsr-313	22	34	same	same	ADJ
bjmsr-313	22	35	,	,	PUNCT
bjmsr-313	22	36	definitive	definitive	ADJ
bjmsr-313	22	37	conclusion	conclusion	NOUN
bjmsr-313	22	38	and	and	CCONJ
bjmsr-313	22	39	comparison	comparison	NOUN
bjmsr-313	22	40	should	should	AUX
bjmsr-313	22	41	not	not	PART
bjmsr-313	22	42	be	be	AUX
bjmsr-313	22	43	drawn	draw	VERB
bjmsr-313	22	44	from	from	ADP
bjmsr-313	22	45	this	this	DET
bjmsr-313	22	46	table	table	NOUN
bjmsr-313	22	47	.	.	PUNCT
bjmsr-313	23	1	armstrong	armstrong	PROPN
bjmsr-313	23	2	and	and	CCONJ
bjmsr-313	23	3	frome	frome	PROPN
bjmsr-313	23	4	(	(	PUNCT
bjmsr-313	23	5	1976a	1976a	NUM
bjmsr-313	23	6	)	)	PUNCT
bjmsr-313	23	7	compare	compare	VERB
bjmsr-313	23	8	the	the	DET
bjmsr-313	23	9	iterative	iterative	NOUN
bjmsr-313	23	10	weighted	weight	VERB
bjmsr-313	23	11	least	least	ADJ
bjmsr-313	23	12	squares	square	NOUN
bjmsr-313	23	13	of	of	ADP
bjmsr-313	23	14	schlossmacher	schlossmacher	NOUN
bjmsr-313	23	15	(	(	PUNCT
bjmsr-313	23	16	1973	1973	NUM
bjmsr-313	23	17	)	)	PUNCT
bjmsr-313	23	18	with	with	ADP
bjmsr-313	23	19	barrodale	barrodale	NOUN
bjmsr-313	23	20	and	and	CCONJ
bjmsr-313	23	21	roberts	roberts	PROPN
bjmsr-313	23	22	(	(	PUNCT
bjmsr-313	23	23	1973	1973	NUM
bjmsr-313	23	24	)	)	PUNCT
bjmsr-313	23	25	algorithm	algorithm	NOUN
bjmsr-313	23	26	.	.	PUNCT
bjmsr-313	24	1	the	the	DET
bjmsr-313	24	2	result	result	NOUN
bjmsr-313	24	3	was	be	AUX
bjmsr-313	24	4	high	high	ADJ
bjmsr-313	24	5	superiority	superiority	NOUN
bjmsr-313	24	6	of	of	ADP
bjmsr-313	24	7	the	the	DET
bjmsr-313	24	8	latter	latter	ADJ
bjmsr-313	24	9	.	.	PUNCT
bjmsr-313	25	1	anderson	anderson	PROPN
bjmsr-313	25	2	and	and	CCONJ
bjmsr-313	25	3	steiger	steiger	PROPN
bjmsr-313	25	4	(	(	PUNCT
bjmsr-313	25	5	1980	1980	NUM
bjmsr-313	25	6	)	)	PUNCT
bjmsr-313	25	7	compare	compare	VERB
bjmsr-313	25	8	the	the	DET
bjmsr-313	25	9	algorithms	algorithm	NOUN
bjmsr-313	25	10	of	of	ADP
bjmsr-313	25	11	bloomfield	bloomfield	PROPN
bjmsr-313	25	12	and	and	CCONJ
bjmsr-313	25	13	steiger	steiger	PROPN
bjmsr-313	25	14	(	(	PUNCT
bjmsr-313	25	15	1980	1980	NUM
bjmsr-313	25	16	)	)	PUNCT
bjmsr-313	25	17	,	,	PUNCT
bjmsr-313	25	18	bartels	bartel	NOUN
bjmsr-313	25	19	and	and	CCONJ
bjmsr-313	25	20	conn	conn	PROPN
bjmsr-313	25	21	and	and	CCONJ
bjmsr-313	25	22	sinclair	sinclair	PROPN
bjmsr-313	25	23	(	(	PUNCT
bjmsr-313	25	24	1978	1978	NUM
bjmsr-313	25	25	)	)	PUNCT
bjmsr-313	25	26	and	and	CCONJ
bjmsr-313	25	27	barrodale	barrodale	NOUN
bjmsr-313	25	28	and	and	CCONJ
bjmsr-313	25	29	roberts	roberts	PROPN
bjmsr-313	25	30	(	(	PUNCT
bjmsr-313	25	31	1973	1973	NUM
bjmsr-313	25	32	)	)	PUNCT
bjmsr-313	25	33	.	.	PUNCT
bjmsr-313	26	1	it	it	PRON
bjmsr-313	26	2	was	be	AUX
bjmsr-313	26	3	concluded	conclude	VERB
bjmsr-313	26	4	that	that	SCONJ
bjmsr-313	26	5	as	as	SCONJ
bjmsr-313	26	6	the	the	DET
bjmsr-313	26	7	number	number	NOUN
bjmsr-313	26	8	of	of	ADP
bjmsr-313	26	9	observations	observation	NOUN
bjmsr-313	26	10	n	n	PRON
bjmsr-313	26	11	increases	increase	VERB
bjmsr-313	26	12	the	the	DET
bjmsr-313	26	13	br	br	NOUN
bjmsr-313	26	14	locates	locate	VERB
bjmsr-313	26	15	in	in	ADP
bjmsr-313	26	16	a	a	DET
bjmsr-313	26	17	different	different	ADJ
bjmsr-313	26	18	complexity	complexity	NOUN
bjmsr-313	26	19	class	class	NOUN
bjmsr-313	26	20	than	than	ADP
bjmsr-313	26	21	bcs	bcs	NOUN
bjmsr-313	26	22	and	and	CCONJ
bjmsr-313	26	23	bs	bs	NOUN
bjmsr-313	26	24	.	.	PUNCT
bjmsr-313	27	1	all	all	DET
bjmsr-313	27	2	algorithms	algorithm	NOUN
bjmsr-313	27	3	are	be	AUX
bjmsr-313	27	4	linear	linear	ADJ
bjmsr-313	27	5	in	in	ADP
bjmsr-313	27	6	the	the	DET
bjmsr-313	27	7	number	number	NOUN
bjmsr-313	27	8	of	of	ADP
bjmsr-313	27	9	parameters	parameter	NOUN
bjmsr-313	27	10	m	m	PRON
bjmsr-313	27	11	,	,	PUNCT
bjmsr-313	27	12	and	and	CCONJ
bjmsr-313	27	13	bs	bs	NOUN
bjmsr-313	27	14	is	be	AUX
bjmsr-313	27	15	less	less	ADV
bjmsr-313	27	16	complex	complex	ADJ
bjmsr-313	27	17	than	than	ADP
bjmsr-313	27	18	bcs	bc	NOUN
bjmsr-313	27	19	.	.	PUNCT
bjmsr-313	28	1	complexities	complexity	NOUN
bjmsr-313	28	2	of	of	ADP
bjmsr-313	28	3	bs	bs	NOUN
bjmsr-313	28	4	and	and	CCONJ
bjmsr-313	28	5	bcs	bc	NOUN
bjmsr-313	28	6	are	be	AUX
bjmsr-313	28	7	linear	linear	ADJ
bjmsr-313	28	8	in	in	ADP
bjmsr-313	28	9	n.	n.	NOUN
bjmsr-313	28	10	there	there	PRON
bjmsr-313	28	11	is	be	VERB
bjmsr-313	28	12	a	a	DET
bjmsr-313	28	13	slight	slight	ADJ
bjmsr-313	28	14	tendency	tendency	NOUN
bjmsr-313	28	15	for	for	SCONJ
bjmsr-313	28	16	all	all	DET
bjmsr-313	28	17	algorithms	algorithm	NOUN
bjmsr-313	28	18	to	to	PART
bjmsr-313	28	19	work	work	VERB
bjmsr-313	28	20	proportionately	proportionately	ADV
bjmsr-313	28	21	harder	hard	ADV
bjmsr-313	28	22	for	for	ADP
bjmsr-313	28	23	even	even	ADV
bjmsr-313	28	24	m	m	NOUN
bjmsr-313	28	25	than	than	ADP
bjmsr-313	28	26	for	for	ADP
bjmsr-313	28	27	odd	odd	ADJ
bjmsr-313	28	28	m.	m.	NOUN
bjmsr-313	28	29	br	br	NOUN
bjmsr-313	28	30	and	and	CCONJ
bjmsr-313	28	31	bs	bs	PROPN
bjmsr-313	28	32	had	have	VERB
bjmsr-313	28	33	the	the	DET
bjmsr-313	28	34	most	most	ADJ
bjmsr-313	28	35	difficulty	difficulty	NOUN
bjmsr-313	28	36	with	with	ADP
bjmsr-313	28	37	normal	normal	ADJ
bjmsr-313	28	38	error	error	NOUN
bjmsr-313	28	39	distribution	distribution	NOUN
bjmsr-313	28	40	and	and	CCONJ
bjmsr-313	28	41	the	the	DET
bjmsr-313	28	42	least	least	ADJ
bjmsr-313	28	43	difficulty	difficulty	NOUN
bjmsr-313	28	44	with	with	ADP
bjmsr-313	28	45	pareto	pareto	ADJ
bjmsr-313	28	46	distribution	distribution	NOUN
bjmsr-313	28	47	with	with	ADP
bjmsr-313	28	48	corresponding	correspond	VERB
bjmsr-313	28	49	pareto	pareto	ADJ
bjmsr-313	28	50	density	density	NOUN
bjmsr-313	28	51	parameter	parameter	NOUN
bjmsr-313	28	52	equal	equal	ADJ
bjmsr-313	28	53	to	to	ADP
bjmsr-313	28	54	1.2	1.2	NUM
bjmsr-313	28	55	.	.	PUNCT
bjmsr-313	29	1	mailto:bijan@bidabad.com	mailto:bijan@bidabad.com	PROPN
bjmsr-313	29	2	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	30	1	bangladesh	bangladesh	PROPN
bjmsr-313	30	2	journal	journal	PROPN
bjmsr-313	30	3	of	of	ADP
bjmsr-313	30	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	30	5	scientific	scientific	ADJ
bjmsr-313	30	6	research	research	NOUN
bjmsr-313	30	7	vol	vol	NOUN
bjmsr-313	30	8	.	.	PROPN
bjmsr-313	31	1	1	1	NUM
bjmsr-313	31	2	,	,	PUNCT
bjmsr-313	31	3	no	no	INTJ
bjmsr-313	31	4	.	.	NOUN
bjmsr-313	31	5	1	1	NUM
bjmsr-313	31	6	;	;	PUNCT
bjmsr-313	31	7	2019	2019	NUM
bjmsr-313	31	8	32	32	NUM
bjmsr-313	31	9	table	table	NOUN
bjmsr-313	31	10	1	1	NUM
bjmsr-313	31	11	.	.	PUNCT
bjmsr-313	32	1	summary	summary	NOUN
bjmsr-313	32	2	of	of	ADP
bjmsr-313	32	3	the	the	DET
bjmsr-313	32	4	characteristics	characteristic	NOUN
bjmsr-313	32	5	of	of	ADP
bjmsr-313	32	6	the	the	DET
bjmsr-313	32	7	existing	exist	VERB
bjmsr-313	32	8	algorithms	algorithm	NOUN
bjmsr-313	32	9	.	.	PUNCT
bjmsr-313	33	1	ref	ref	NOUN
bjmsr-313	33	2	.	.	PUNCT
bjmsr-313	34	1	compared	compare	VERB
bjmsr-313	34	2	with	with	ADP
bjmsr-313	34	3	m	m	PROPN
bjmsr-313	34	4	range	range	NOUN
bjmsr-313	34	5	n	n	PRON
bjmsr-313	34	6	range	range	NOUN
bjmsr-313	34	7	time	time	NOUN
bjmsr-313	34	8	/	/	SYM
bjmsr-313	34	9	performance	performance	NOUN
bjmsr-313	34	10	bcs	bcs	NOUN
bjmsr-313	34	11	br	br	NOUN
bjmsr-313	34	12	2	2	NUM
bjmsr-313	34	13	-	-	SYM
bjmsr-313	34	14	8	8	NUM
bjmsr-313	34	15	201	201	NUM
bjmsr-313	34	16	roughly	roughly	ADV
bjmsr-313	34	17	equal	equal	ADJ
bjmsr-313	34	18	speed	speed	NOUN
bjmsr-313	34	19	afk	afk	NOUN
bjmsr-313	34	20	br	br	NOUN
bjmsr-313	34	21	5	5	NUM
bjmsr-313	34	22	-	-	SYM
bjmsr-313	34	23	20	20	NUM
bjmsr-313	34	24	100	100	NUM
bjmsr-313	34	25	-	-	SYM
bjmsr-313	34	26	1500	1500	NUM
bjmsr-313	34	27	30%-50	30%-50	NUM
bjmsr-313	34	28	%	%	NOUN
bjmsr-313	34	29	afk	afk	NOUN
bjmsr-313	34	30	is	be	AUX
bjmsr-313	34	31	faster	fast	ADJ
bjmsr-313	34	32	a	a	DET
bjmsr-313	34	33	br	br	NOUN
bjmsr-313	34	34	1	1	NUM
bjmsr-313	34	35	-	-	SYM
bjmsr-313	34	36	11	11	NUM
bjmsr-313	34	37	15	15	NUM
bjmsr-313	34	38	-	-	SYM
bjmsr-313	34	39	203	203	NUM
bjmsr-313	34	40	nearly	nearly	ADV
bjmsr-313	34	41	equal	equal	ADJ
bjmsr-313	34	42	speed	speed	NOUN
bjmsr-313	34	43	bs	bs	NOUN
bjmsr-313	34	44	br	br	NOUN
bjmsr-313	34	45	2	2	NUM
bjmsr-313	34	46	-	-	SYM
bjmsr-313	34	47	6	6	NUM
bjmsr-313	34	48	100	100	NUM
bjmsr-313	34	49	-	-	SYM
bjmsr-313	34	50	1800	1800	NUM
bjmsr-313	34	51	bs	bs	NOUN
bjmsr-313	34	52	is	be	AUX
bjmsr-313	34	53	faster	fast	ADJ
bjmsr-313	34	54	for	for	ADP
bjmsr-313	34	55	larger	large	ADJ
bjmsr-313	34	56	n	n	PROPN
bjmsr-313	34	57	w	w	PROPN
bjmsr-313	34	58	afk	afk	PROPN
bjmsr-313	34	59	,	,	PUNCT
bjmsr-313	34	60	ak	ak	PROPN
bjmsr-313	34	61	2	2	NUM
bjmsr-313	34	62	-	-	SYM
bjmsr-313	34	63	25	25	NUM
bjmsr-313	34	64	100	100	NUM
bjmsr-313	34	65	-	-	SYM
bjmsr-313	34	66	1000	1000	NUM
bjmsr-313	34	67	w	w	NOUN
bjmsr-313	34	68	is	be	AUX
bjmsr-313	34	69	faster	fast	ADJ
bjmsr-313	34	70	for	for	ADP
bjmsr-313	34	71	larger	large	ADJ
bjmsr-313	34	72	n	n	PROPN
bjmsr-313	34	73	&	&	CCONJ
bjmsr-313	34	74	smaller	small	ADJ
bjmsr-313	34	75	m	m	NOUN
bjmsr-313	34	76	ss	ss	NOUN
bjmsr-313	34	77	bs	bs	NOUN
bjmsr-313	34	78	4	4	NUM
bjmsr-313	34	79	-	-	SYM
bjmsr-313	34	80	34	34	NUM
bjmsr-313	34	81	10	10	NUM
bjmsr-313	34	82	-	-	SYM
bjmsr-313	34	83	50	50	NUM
bjmsr-313	34	84	ss	ss	NOUN
bjmsr-313	34	85	is	be	AUX
bjmsr-313	34	86	faster	fast	ADJ
bjmsr-313	34	87	for	for	ADP
bjmsr-313	34	88	m	m	PROPN
bjmsr-313	34	89	near	near	ADP
bjmsr-313	34	90	n	n	PROPN
bjmsr-313	34	91	ak	ak	PROPN
bjmsr-313	34	92	s	s	PROPN
bjmsr-313	34	93	2	2	NUM
bjmsr-313	34	94	50	50	NUM
bjmsr-313	34	95	-	-	SYM
bjmsr-313	34	96	500	500	NUM
bjmsr-313	34	97	ak	ak	PROPN
bjmsr-313	34	98	is	be	AUX
bjmsr-313	34	99	faster	fast	ADJ
bjmsr-313	34	100	js	js	PROPN
bjmsr-313	34	101	ak	ak	PROPN
bjmsr-313	34	102	2	2	NUM
bjmsr-313	34	103	10	10	NUM
bjmsr-313	34	104	-	-	SYM
bjmsr-313	34	105	250	250	NUM
bjmsr-313	34	106	js	js	NOUN
bjmsr-313	34	107	is	be	AUX
bjmsr-313	34	108	faster	fast	ADJ
bjmsr-313	34	109	n	n	NOUN
bjmsr-313	34	110	≡number	≡number	NOUN
bjmsr-313	34	111	of	of	ADP
bjmsr-313	34	112	observations	observation	NOUN
bjmsr-313	34	113	.	.	PUNCT
bjmsr-313	35	1	m	m	VERB
bjmsr-313	36	1	≡number	≡number	ADJ
bjmsr-313	36	2	of	of	ADP
bjmsr-313	36	3	parameters	parameter	NOUN
bjmsr-313	36	4	.	.	PUNCT
bjmsr-313	37	1	bcs≡bartels	bcs≡bartel	NOUN
bjmsr-313	37	2	,	,	PUNCT
bjmsr-313	37	3	conn	conn	PROPN
bjmsr-313	37	4	,	,	PUNCT
bjmsr-313	37	5	sinclair	sinclair	NOUN
bjmsr-313	37	6	(	(	PUNCT
bjmsr-313	37	7	1978	1978	NUM
bjmsr-313	37	8	)	)	PUNCT
bjmsr-313	37	9	.	.	PUNCT
bjmsr-313	38	1	br	br	PROPN
bjmsr-313	38	2	≡barrodale	≡barrodale	NOUN
bjmsr-313	38	3	,	,	PUNCT
bjmsr-313	38	4	roberts	roberts	PROPN
bjmsr-313	38	5	(	(	PUNCT
bjmsr-313	38	6	1973,74	1973,74	NUM
bjmsr-313	38	7	)	)	PUNCT
bjmsr-313	38	8	.	.	PUNCT
bjmsr-313	39	1	ak	ak	PROPN
bjmsr-313	39	2	≡armstrong	≡armstrong	PROPN
bjmsr-313	39	3	,	,	PUNCT
bjmsr-313	39	4	kung	kung	PROPN
bjmsr-313	39	5	(	(	PUNCT
bjmsr-313	39	6	1978	1978	NUM
bjmsr-313	39	7	)	)	PUNCT
bjmsr-313	39	8	.	.	PUNCT
bjmsr-313	40	1	s	s	PART
bjmsr-313	41	1	≡sadovski	≡sadovski	ADJ
bjmsr-313	41	2	(	(	PUNCT
bjmsr-313	41	3	1974	1974	NUM
bjmsr-313	41	4	)	)	PUNCT
bjmsr-313	41	5	.	.	PUNCT
bjmsr-313	42	1	afk≡armstrong	afk≡armstrong	NOUN
bjmsr-313	42	2	,	,	PUNCT
bjmsr-313	42	3	frome	frome	PROPN
bjmsr-313	42	4	,	,	PUNCT
bjmsr-313	42	5	kung	kung	NOUN
bjmsr-313	42	6	(	(	PUNCT
bjmsr-313	42	7	1979	1979	NUM
bjmsr-313	42	8	)	)	PUNCT
bjmsr-313	42	9	.	.	PUNCT
bjmsr-313	43	1	a	a	DET
bjmsr-313	43	2	≡abdelmalek	≡abdelmalek	PROPN
bjmsr-313	43	3	(	(	PUNCT
bjmsr-313	43	4	1980a	1980a	NUM
bjmsr-313	43	5	,	,	PUNCT
bjmsr-313	43	6	b	b	NOUN
bjmsr-313	43	7	)	)	PUNCT
bjmsr-313	43	8	.	.	PUNCT
bjmsr-313	44	1	bs	bs	PROPN
bjmsr-313	44	2	≡bloomfield	≡bloomfield	PROPN
bjmsr-313	44	3	,	,	PUNCT
bjmsr-313	44	4	steiger	steiger	NOUN
bjmsr-313	44	5	(	(	PUNCT
bjmsr-313	44	6	1980	1980	NUM
bjmsr-313	44	7	)	)	PUNCT
bjmsr-313	44	8	.	.	PUNCT
bjmsr-313	45	1	w	w	PROPN
bjmsr-313	45	2	≡wesolowsky	≡wesolowsky	PROPN
bjmsr-313	45	3	(	(	PUNCT
bjmsr-313	45	4	1981	1981	NUM
bjmsr-313	45	5	)	)	PUNCT
bjmsr-313	45	6	.	.	PUNCT
bjmsr-313	46	1	js	js	PROPN
bjmsr-313	46	2	≡josvanger	≡josvang	ADJ
bjmsr-313	46	3	,	,	PUNCT
bjmsr-313	46	4	sposito	sposito	X
bjmsr-313	46	5	(	(	PUNCT
bjmsr-313	46	6	1983	1983	NUM
bjmsr-313	46	7	)	)	PUNCT
bjmsr-313	46	8	.	.	PUNCT
bjmsr-313	47	1	ss	ss	PROPN
bjmsr-313	47	2	≡seneta	≡seneta	PROPN
bjmsr-313	47	3	,	,	PUNCT
bjmsr-313	47	4	steiger	steiger	NOUN
bjmsr-313	47	5	(	(	PUNCT
bjmsr-313	47	6	1984	1984	NUM
bjmsr-313	47	7	)	)	PUNCT
bjmsr-313	47	8	.	.	PUNCT
bjmsr-313	48	1	gentle	gentle	ADJ
bjmsr-313	48	2	and	and	CCONJ
bjmsr-313	48	3	narula	narula	NOUN
bjmsr-313	48	4	and	and	CCONJ
bjmsr-313	48	5	sposito	sposito	X
bjmsr-313	48	6	(	(	PUNCT
bjmsr-313	48	7	1987	1987	NUM
bjmsr-313	48	8	)	)	PUNCT
bjmsr-313	48	9	perform	perform	VERB
bjmsr-313	48	10	a	a	DET
bjmsr-313	48	11	full	full	ADJ
bjmsr-313	48	12	comparison	comparison	NOUN
bjmsr-313	48	13	among	among	ADP
bjmsr-313	48	14	some	some	PRON
bjmsr-313	48	15	of	of	ADP
bjmsr-313	48	16	the	the	DET
bjmsr-313	48	17	l1	l1	PROPN
bjmsr-313	48	18	norm	norm	NOUN
bjmsr-313	48	19	algorithms	algorithm	NOUN
bjmsr-313	48	20	.	.	PUNCT
bjmsr-313	49	1	they	they	PRON
bjmsr-313	49	2	limited	limit	VERB
bjmsr-313	49	3	this	this	DET
bjmsr-313	49	4	comparison	comparison	NOUN
bjmsr-313	49	5	to	to	ADP
bjmsr-313	49	6	the	the	DET
bjmsr-313	49	7	codes	code	NOUN
bjmsr-313	49	8	that	that	PRON
bjmsr-313	49	9	are	be	AUX
bjmsr-313	49	10	openly	openly	ADV
bjmsr-313	49	11	available	available	ADJ
bjmsr-313	49	12	for	for	ADP
bjmsr-313	49	13	l1	l1	PROPN
bjmsr-313	49	14	norm	norm	PROPN
bjmsr-313	49	15	linear	linear	PROPN
bjmsr-313	49	16	regression	regression	NOUN
bjmsr-313	49	17	of	of	ADP
bjmsr-313	49	18	unconstrained	unconstrained	ADJ
bjmsr-313	49	19	form	form	NOUN
bjmsr-313	49	20	.	.	PUNCT
bjmsr-313	50	1	table	table	NOUN
bjmsr-313	50	2	2	2	NUM
bjmsr-313	50	3	shows	show	VERB
bjmsr-313	50	4	the	the	DET
bjmsr-313	50	5	required	require	VERB
bjmsr-313	50	6	array	array	NOUN
bjmsr-313	50	7	storage	storage	NOUN
bjmsr-313	50	8	and	and	CCONJ
bjmsr-313	50	9	stopping	stop	VERB
bjmsr-313	50	10	constants	constant	NOUN
bjmsr-313	50	11	of	of	ADP
bjmsr-313	50	12	the	the	DET
bjmsr-313	50	13	corresponding	corresponding	ADJ
bjmsr-313	50	14	algorithms	algorithm	NOUN
bjmsr-313	50	15	.	.	PUNCT
bjmsr-313	51	1	table	table	NOUN
bjmsr-313	51	2	2	2	NUM
bjmsr-313	51	3	.	.	PUNCT
bjmsr-313	52	1	the	the	DET
bjmsr-313	52	2	array	array	NOUN
bjmsr-313	52	3	storage	storage	NOUN
bjmsr-313	52	4	requirement	requirement	NOUN
bjmsr-313	52	5	for	for	ADP
bjmsr-313	52	6	selected	select	VERB
bjmsr-313	52	7	algorithms	algorithm	NOUN
bjmsr-313	52	8	.	.	PUNCT
bjmsr-313	53	1	program	program	NOUN
bjmsr-313	53	2	name	name	NOUN
bjmsr-313	53	3	ref	ref	NOUN
bjmsr-313	53	4	.	.	PUNCT
bjmsr-313	54	1	required	require	VERB
bjmsr-313	54	2	array	array	NOUN
bjmsr-313	54	3	storage	storage	NOUN
bjmsr-313	54	4	stopping	stopping	NOUN
bjmsr-313	54	5	constants	constant	NOUN
bjmsr-313	54	6	l1	l1	PROPN
bjmsr-313	54	7	br	br	PROPN
bjmsr-313	54	8	3n+m(n+5)+4	3n+m(n+5)+4	NUM
bjmsr-313	54	9	big=1.0e+75	big=1.0e+75	PROPN
bjmsr-313	54	10	toler=10**(-d+2/3	toler=10**(-d+2/3	NUM
bjmsr-313	54	11	)	)	PUNCT
bjmsr-313	55	1	d	d	PUNCT
bjmsr-313	55	2	=	=	SYM
bjmsr-313	55	3	no	no	NOUN
bjmsr-313	55	4	.	.	PUNCT
bjmsr-313	55	5	of	of	ADP
bjmsr-313	55	6	decimal	decimal	ADJ
bjmsr-313	55	7	digits	digit	NOUN
bjmsr-313	55	8	of	of	ADP
bjmsr-313	55	9	accuracy	accuracy	NOUN
bjmsr-313	55	10	l1	l1	PROPN
bjmsr-313	55	11	a	a	DET
bjmsr-313	55	12	6n+m(n+3m/2	6n+m(n+3m/2	NOUN
bjmsr-313	55	13	+	+	NOUN
bjmsr-313	55	14	15/2	15/2	NUM
bjmsr-313	55	15	)	)	PUNCT
bjmsr-313	55	16	prec=1.0e-6	prec=1.0e-6	PUNCT
bjmsr-313	56	1	esp=1.0e-4	esp=1.0e-4	PROPN
bjmsr-313	56	2	l1norm	l1norm	PROPN
bjmsr-313	56	3	afk	afk	PROPN
bjmsr-313	56	4	6n+m(n+m+5	6n+m(n+m+5	NOUN
bjmsr-313	56	5	)	)	PUNCT
bjmsr-313	56	6	acu=1.0e-6	acu=1.0e-6	PROPN
bjmsr-313	57	1	big=1.0e+15	big=1.0e+15	PRON
bjmsr-313	57	2	blad1	blad1	NOUN
bjmsr-313	57	3	bs	bs	NOUN
bjmsr-313	57	4	4n+2m(n+2	4n+2m(n+2	NUM
bjmsr-313	57	5	)	)	PUNCT
bjmsr-313	58	1	-------------------	-------------------	PUNCT
bjmsr-313	59	1	lonesl	lonesl	PROPN
bjmsr-313	59	2	s	s	PART
bjmsr-313	59	3	4n	4n	X
bjmsr-313	59	4	prec=1.0e-6	prec=1.0e-6	PROPN
bjmsr-313	59	5	big=1.0e+19	big=1.0e+19	PROPN
bjmsr-313	59	6	simlp	simlp	PROPN
bjmsr-313	59	7	ak	ak	PROPN
bjmsr-313	59	8	4n	4n	PROPN
bjmsr-313	59	9	acu=1.0e-6	acu=1.0e-6	PUNCT
bjmsr-313	59	10	big=1.0e+19	big=1.0e+19	ADJ
bjmsr-313	59	11	desl1	desl1	NOUN
bjmsr-313	59	12	js	js	ADJ
bjmsr-313	59	13	5n	5n	NOUN
bjmsr-313	59	14	tol=1.0e-6	tol=1.0e-6	NUM
bjmsr-313	59	15	see	see	NOUN
bjmsr-313	59	16	table	table	NOUN
bjmsr-313	59	17	1	1	NUM
bjmsr-313	59	18	for	for	ADP
bjmsr-313	59	19	abbreviations	abbreviation	NOUN
bjmsr-313	59	20	.	.	PUNCT
bjmsr-313	60	1	source	source	NOUN
bjmsr-313	60	2	:	:	PUNCT
bjmsr-313	60	3	gentle	gentle	ADJ
bjmsr-313	60	4	,	,	PUNCT
bjmsr-313	60	5	narula	narula	NOUN
bjmsr-313	60	6	,	,	PUNCT
bjmsr-313	60	7	sposito	sposito	X
bjmsr-313	60	8	(	(	PUNCT
bjmsr-313	60	9	1987	1987	NUM
bjmsr-313	60	10	)	)	PUNCT
bjmsr-313	60	11	.	.	PUNCT
bjmsr-313	61	1	in	in	ADP
bjmsr-313	61	2	their	their	PRON
bjmsr-313	61	3	study	study	NOUN
bjmsr-313	61	4	,	,	PUNCT
bjmsr-313	61	5	the	the	DET
bjmsr-313	61	6	problem	problem	NOUN
bjmsr-313	61	7	consists	consist	VERB
bjmsr-313	61	8	of	of	ADP
bjmsr-313	61	9	uniform	uniform	NOUN
bjmsr-313	61	10	(	(	PUNCT
bjmsr-313	61	11	0,1	0,1	NOUN
bjmsr-313	61	12	)	)	PUNCT
bjmsr-313	61	13	random	random	ADJ
bjmsr-313	61	14	values	value	NOUN
bjmsr-313	61	15	for	for	ADP
bjmsr-313	61	16	x	x	PUNCT
bjmsr-313	61	17	and	and	CCONJ
bjmsr-313	61	18	normal	normal	ADJ
bjmsr-313	61	19	(	(	PUNCT
bjmsr-313	61	20	0,3	0,3	NUM
bjmsr-313	61	21	)	)	PUNCT
bjmsr-313	61	22	variates	variate	NOUN
bjmsr-313	61	23	for	for	ADP
bjmsr-313	61	24	the	the	DET
bjmsr-313	61	25	random	random	ADJ
bjmsr-313	61	26	error	error	NOUN
bjmsr-313	61	27	term	term	NOUN
bjmsr-313	61	28	.	.	PUNCT
bjmsr-313	62	1	the	the	DET
bjmsr-313	62	2	value	value	NOUN
bjmsr-313	62	3	of	of	ADP
bjmsr-313	62	4	the	the	DET
bjmsr-313	62	5	dependent	dependent	ADJ
bjmsr-313	62	6	variable	variable	NOUN
bjmsr-313	62	7	y	y	PROPN
bjmsr-313	62	8	computed	compute	VERB
bjmsr-313	62	9	as	as	ADP
bjmsr-313	62	10	the	the	DET
bjmsr-313	62	11	sum	sum	NOUN
bjmsr-313	62	12	of	of	ADP
bjmsr-313	62	13	the	the	DET
bjmsr-313	62	14	independent	independent	ADJ
bjmsr-313	62	15	variables	variable	NOUN
bjmsr-313	62	16	and	and	CCONJ
bjmsr-313	62	17	error	error	NOUN
bjmsr-313	62	18	term	term	NOUN
bjmsr-313	62	19	.	.	PUNCT
bjmsr-313	63	1	summary	summary	NOUN
bjmsr-313	63	2	of	of	ADP
bjmsr-313	63	3	the	the	DET
bjmsr-313	63	4	results	result	NOUN
bjmsr-313	63	5	is	be	AUX
bjmsr-313	63	6	shown	show	VERB
bjmsr-313	63	7	in	in	ADP
bjmsr-313	63	8	tables	table	NOUN
bjmsr-313	63	9	3	3	NUM
bjmsr-313	63	10	and	and	CCONJ
bjmsr-313	63	11	4	4	NUM
bjmsr-313	63	12	for	for	ADP
bjmsr-313	63	13	simple	simple	ADJ
bjmsr-313	63	14	and	and	CCONJ
bjmsr-313	63	15	multiple	multiple	ADJ
bjmsr-313	63	16	regressions	regression	NOUN
bjmsr-313	63	17	,	,	PUNCT
bjmsr-313	63	18	respectively	respectively	ADV
bjmsr-313	63	19	.	.	PUNCT
bjmsr-313	64	1	values	value	NOUN
bjmsr-313	64	2	in	in	ADP
bjmsr-313	64	3	the	the	DET
bjmsr-313	64	4	cells	cell	NOUN
bjmsr-313	64	5	are	be	AUX
bjmsr-313	64	6	the	the	DET
bjmsr-313	64	7	cpu	cpu	ADJ
bjmsr-313	64	8	time	time	NOUN
bjmsr-313	64	9	averages	average	NOUN
bjmsr-313	64	10	of	of	ADP
bjmsr-313	64	11	100	100	NUM
bjmsr-313	64	12	replications	replication	NOUN
bjmsr-313	64	13	,	,	PUNCT
bjmsr-313	64	14	and	and	CCONJ
bjmsr-313	64	15	the	the	DET
bjmsr-313	64	16	values	value	NOUN
bjmsr-313	64	17	in	in	ADP
bjmsr-313	64	18	the	the	DET
bjmsr-313	64	19	parentheses	parenthesis	NOUN
bjmsr-313	64	20	are	be	AUX
bjmsr-313	64	21	corresponding	correspond	VERB
bjmsr-313	64	22	maximum	maximum	ADJ
bjmsr-313	64	23	cpu	cpu	NOUN
bjmsr-313	64	24	time	time	NOUN
bjmsr-313	64	25	of	of	ADP
bjmsr-313	64	26	the	the	DET
bjmsr-313	64	27	100	100	NUM
bjmsr-313	64	28	replications	replication	NOUN
bjmsr-313	64	29	.	.	PUNCT
bjmsr-313	65	1	gentle	gentle	ADJ
bjmsr-313	65	2	and	and	CCONJ
bjmsr-313	65	3	sposito	sposito	NOUN
bjmsr-313	65	4	and	and	CCONJ
bjmsr-313	65	5	narula	narula	NOUN
bjmsr-313	65	6	(	(	PUNCT
bjmsr-313	65	7	1988	1988	NUM
bjmsr-313	65	8	)	)	PUNCT
bjmsr-313	66	1	also	also	ADV
bjmsr-313	66	2	compare	compare	VERB
bjmsr-313	66	3	the	the	DET
bjmsr-313	66	4	algorithms	algorithm	NOUN
bjmsr-313	66	5	for	for	ADP
bjmsr-313	66	6	unconstrained	unconstrained	ADJ
bjmsr-313	66	7	l1	l1	PROPN
bjmsr-313	66	8	norm	norm	VERB
bjmsr-313	66	9	simple	simple	ADJ
bjmsr-313	66	10	linear	linear	ADJ
bjmsr-313	66	11	regression	regression	NOUN
bjmsr-313	66	12	.	.	PUNCT
bjmsr-313	67	1	this	this	DET
bjmsr-313	67	2	investigation	investigation	NOUN
bjmsr-313	67	3	is	be	AUX
bjmsr-313	67	4	essentially	essentially	ADV
bjmsr-313	67	5	an	an	DET
bjmsr-313	67	6	extraction	extraction	NOUN
bjmsr-313	67	7	of	of	ADP
bjmsr-313	67	8	gentle	gentle	ADJ
bjmsr-313	67	9	and	and	CCONJ
bjmsr-313	67	10	narula	narula	NOUN
bjmsr-313	67	11	and	and	CCONJ
bjmsr-313	67	12	sposito	sposito	X
bjmsr-313	67	13	(	(	PUNCT
bjmsr-313	67	14	1987	1987	NUM
bjmsr-313	67	15	)	)	PUNCT
bjmsr-313	67	16	.	.	PUNCT
bjmsr-313	68	1	the	the	DET
bjmsr-313	68	2	attained	attain	VERB
bjmsr-313	68	3	results	result	NOUN
bjmsr-313	68	4	are	be	AUX
bjmsr-313	68	5	completely	completely	ADV
bjmsr-313	68	6	similar	similar	ADJ
bjmsr-313	68	7	.	.	PUNCT
bjmsr-313	69	1	they	they	PRON
bjmsr-313	69	2	concluded	conclude	VERB
bjmsr-313	69	3	that	that	SCONJ
bjmsr-313	69	4	the	the	DET
bjmsr-313	69	5	bs	bs	PROPN
bjmsr-313	69	6	program	program	NOUN
bjmsr-313	69	7	performs	perform	VERB
bjmsr-313	69	8	quite	quite	ADV
bjmsr-313	69	9	well	well	ADV
bjmsr-313	69	10	on	on	ADP
bjmsr-313	69	11	smaller	small	ADJ
bjmsr-313	69	12	problems	problem	NOUN
bjmsr-313	69	13	,	,	PUNCT
bjmsr-313	69	14	but	but	CCONJ
bjmsr-313	69	15	in	in	ADP
bjmsr-313	69	16	larger	large	ADJ
bjmsr-313	69	17	cases	case	NOUN
bjmsr-313	69	18	,	,	PUNCT
bjmsr-313	69	19	because	because	SCONJ
bjmsr-313	69	20	of	of	ADP
bjmsr-313	69	21	accumulated	accumulate	VERB
bjmsr-313	69	22	round	round	NOUN
bjmsr-313	69	23	-	-	PUNCT
bjmsr-313	69	24	off	off	ADP
bjmsr-313	69	25	error	error	NOUN
bjmsr-313	69	26	,	,	PUNCT
bjmsr-313	69	27	it	it	PRON
bjmsr-313	69	28	fails	fail	VERB
bjmsr-313	69	29	to	to	PART
bjmsr-313	69	30	produce	produce	VERB
bjmsr-313	69	31	correct	correct	ADJ
bjmsr-313	69	32	answers	answer	NOUN
bjmsr-313	69	33	.	.	PUNCT
bjmsr-313	70	1	the	the	DET
bjmsr-313	70	2	wesolowsky	wesolowsky	PROPN
bjmsr-313	70	3	program	program	NOUN
bjmsr-313	70	4	was	be	AUX
bjmsr-313	70	5	not	not	PART
bjmsr-313	70	6	usable	usable	ADJ
bjmsr-313	70	7	and	and	CCONJ
bjmsr-313	70	8	deleted	delete	VERB
bjmsr-313	70	9	in	in	ADP
bjmsr-313	70	10	their	their	PRON
bjmsr-313	70	11	study	study	NOUN
bjmsr-313	70	12	.	.	PUNCT
bjmsr-313	71	1	because	because	SCONJ
bjmsr-313	71	2	of	of	ADP
bjmsr-313	71	3	the	the	DET
bjmsr-313	71	4	superiority	superiority	NOUN
bjmsr-313	71	5	of	of	ADP
bjmsr-313	71	6	afk	afk	NOUN
bjmsr-313	71	7	to	to	ADP
bjmsr-313	71	8	br	br	PROPN
bjmsr-313	71	9	and	and	CCONJ
bjmsr-313	71	10	ak	ak	PROPN
bjmsr-313	71	11	to	to	ADP
bjmsr-313	71	12	s	s	PRON
bjmsr-313	71	13	,	,	PUNCT
bjmsr-313	71	14	which	which	PRON
bjmsr-313	71	15	had	have	AUX
bjmsr-313	71	16	been	be	AUX
bjmsr-313	71	17	indicated	indicate	VERB
bjmsr-313	71	18	in	in	ADP
bjmsr-313	71	19	previous	previous	ADJ
bjmsr-313	71	20	studies	study	NOUN
bjmsr-313	71	21	,	,	PUNCT
bjmsr-313	71	22	br	br	PROPN
bjmsr-313	71	23	and	and	CCONJ
bjmsr-313	71	24	s	s	PROPN
bjmsr-313	71	25	algorithm	algorithm	NOUN
bjmsr-313	71	26	did	do	AUX
bjmsr-313	71	27	not	not	PART
bjmsr-313	71	28	enter	enter	VERB
bjmsr-313	71	29	in	in	ADP
bjmsr-313	71	30	their	their	PRON
bjmsr-313	71	31	study	study	NOUN
bjmsr-313	71	32	.	.	PUNCT
bjmsr-313	72	1	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	72	2	bangladesh	bangladesh	PROPN
bjmsr-313	72	3	journal	journal	PROPN
bjmsr-313	72	4	of	of	ADP
bjmsr-313	72	5	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	72	6	scientific	scientific	ADJ
bjmsr-313	72	7	research	research	NOUN
bjmsr-313	72	8	vol	vol	NOUN
bjmsr-313	72	9	.	.	PROPN
bjmsr-313	73	1	1	1	NUM
bjmsr-313	73	2	,	,	PUNCT
bjmsr-313	73	3	no	no	INTJ
bjmsr-313	73	4	.	.	NOUN
bjmsr-313	73	5	1	1	NUM
bjmsr-313	73	6	;	;	PUNCT
bjmsr-313	73	7	2019	2019	NUM
bjmsr-313	73	8	33	33	NUM
bjmsr-313	73	9	table	table	NOUN
bjmsr-313	73	10	3	3	NUM
bjmsr-313	73	11	.	.	PUNCT
bjmsr-313	74	1	the	the	DET
bjmsr-313	74	2	cpu	cpu	ADJ
bjmsr-313	74	3	time	time	NOUN
bjmsr-313	74	4	for	for	ADP
bjmsr-313	74	5	a	a	DET
bjmsr-313	74	6	simple	simple	ADJ
bjmsr-313	74	7	model	model	NOUN
bjmsr-313	74	8	.	.	PUNCT
bjmsr-313	75	1	n	n	PROPN
bjmsr-313	75	2	ak	ak	PROPN
bjmsr-313	75	3	js	js	PROPN
bjmsr-313	75	4	a	a	DET
bjmsr-313	75	5	afk	afk	NOUN
bjmsr-313	75	6	bs	bs	NOUN
bjmsr-313	75	7	100	100	NUM
bjmsr-313	75	8	0.021	0.021	NUM
bjmsr-313	75	9	0.023	0.023	NUM
bjmsr-313	75	10	0.094	0.094	NUM
bjmsr-313	75	11	0.034	0.034	NUM
bjmsr-313	75	12	0.023	0.023	NUM
bjmsr-313	75	13	(	(	PUNCT
bjmsr-313	75	14	0.03	0.03	NUM
bjmsr-313	75	15	)	)	PUNCT
bjmsr-313	75	16	(	(	PUNCT
bjmsr-313	75	17	0.04	0.04	NUM
bjmsr-313	75	18	)	)	PUNCT
bjmsr-313	75	19	(	(	PUNCT
bjmsr-313	75	20	0.21	0.21	NUM
bjmsr-313	75	21	)	)	PUNCT
bjmsr-313	75	22	(	(	PUNCT
bjmsr-313	75	23	0.06	0.06	NUM
bjmsr-313	75	24	)	)	PUNCT
bjmsr-313	75	25	(	(	PUNCT
bjmsr-313	75	26	0.04	0.04	NUM
bjmsr-313	75	27	)	)	PUNCT
bjmsr-313	75	28	500	500	NUM
bjmsr-313	75	29	0.193	0.193	NUM
bjmsr-313	75	30	0.302	0.302	NUM
bjmsr-313	75	31	1.434	1.434	NUM
bjmsr-313	75	32	0.287	0.287	NUM
bjmsr-313	75	33	0.145	0.145	NUM
bjmsr-313	75	34	(	(	PUNCT
bjmsr-313	75	35	0.38	0.38	NUM
bjmsr-313	75	36	)	)	PUNCT
bjmsr-313	75	37	(	(	PUNCT
bjmsr-313	75	38	0.61	0.61	NUM
bjmsr-313	75	39	)	)	PUNCT
bjmsr-313	75	40	(	(	PUNCT
bjmsr-313	75	41	3.13	3.13	NUM
bjmsr-313	75	42	)	)	PUNCT
bjmsr-313	75	43	(	(	PUNCT
bjmsr-313	75	44	0.49	0.49	NUM
bjmsr-313	75	45	)	)	PUNCT
bjmsr-313	75	46	(	(	PUNCT
bjmsr-313	75	47	0.26	0.26	NUM
bjmsr-313	75	48	)	)	PUNCT
bjmsr-313	75	49	1000	1000	NUM
bjmsr-313	75	50	0.544	0.544	NUM
bjmsr-313	75	51	0.971	0.971	NUM
bjmsr-313	75	52	4.775	4.775	NUM
bjmsr-313	75	53	0.784	0.784	NUM
bjmsr-313	75	54	0.422	0.422	NUM
bjmsr-313	75	55	(	(	PUNCT
bjmsr-313	75	56	1.36	1.36	NUM
bjmsr-313	75	57	)	)	PUNCT
bjmsr-313	75	58	(	(	PUNCT
bjmsr-313	75	59	2.16	2.16	NUM
bjmsr-313	75	60	)	)	PUNCT
bjmsr-313	75	61	(	(	PUNCT
bjmsr-313	75	62	10.60	10.60	NUM
bjmsr-313	75	63	)	)	PUNCT
bjmsr-313	75	64	(	(	PUNCT
bjmsr-313	75	65	1.76	1.76	NUM
bjmsr-313	75	66	)	)	PUNCT
bjmsr-313	75	67	(	(	PUNCT
bjmsr-313	75	68	1.19	1.19	NUM
bjmsr-313	75	69	)	)	PUNCT
bjmsr-313	75	70	5000	5000	NUM
bjmsr-313	75	71	1.262	1.262	NUM
bjmsr-313	75	72	2.837	2.837	NUM
bjmsr-313	75	73	211.23	211.23	NUM
bjmsr-313	75	74	*	*	SYM
bjmsr-313	75	75	1.614	1.614	NUM
bjmsr-313	75	76	+	+	CCONJ
bjmsr-313	75	77	(	(	PUNCT
bjmsr-313	75	78	24.58	24.58	NUM
bjmsr-313	75	79	)	)	PUNCT
bjmsr-313	75	80	(	(	PUNCT
bjmsr-313	75	81	48.88	48.88	NUM
bjmsr-313	75	82	)	)	PUNCT
bjmsr-313	75	83	(	(	PUNCT
bjmsr-313	75	84	----	----	PUNCT
bjmsr-313	75	85	)	)	PUNCT
bjmsr-313	75	86	(	(	PUNCT
bjmsr-313	75	87	31.22	31.22	NUM
bjmsr-313	75	88	)	)	PUNCT
bjmsr-313	76	1	+	+	CCONJ
bjmsr-313	76	2	see	see	VERB
bjmsr-313	76	3	table	table	NOUN
bjmsr-313	76	4	1	1	NUM
bjmsr-313	76	5	for	for	ADP
bjmsr-313	76	6	abbreviations	abbreviation	NOUN
bjmsr-313	76	7	.	.	PUNCT
bjmsr-313	77	1	*	*	PUNCT
bjmsr-313	77	2	average	average	NOUN
bjmsr-313	77	3	of	of	ADP
bjmsr-313	77	4	three	three	NUM
bjmsr-313	77	5	runs	run	NOUN
bjmsr-313	77	6	.	.	PUNCT
bjmsr-313	78	1	+	+	CCONJ
bjmsr-313	78	2	failed	fail	VERB
bjmsr-313	78	3	to	to	PART
bjmsr-313	78	4	produce	produce	VERB
bjmsr-313	78	5	correct	correct	ADJ
bjmsr-313	78	6	answers	answer	NOUN
bjmsr-313	78	7	.	.	PUNCT
bjmsr-313	79	1	source	source	NOUN
bjmsr-313	79	2	:	:	PUNCT
bjmsr-313	79	3	gentle	gentle	ADJ
bjmsr-313	79	4	,	,	PUNCT
bjmsr-313	79	5	narula	narula	NOUN
bjmsr-313	79	6	,	,	PUNCT
bjmsr-313	79	7	sposito	sposito	X
bjmsr-313	79	8	(	(	PUNCT
bjmsr-313	79	9	1987	1987	NUM
bjmsr-313	79	10	)	)	PUNCT
bjmsr-313	79	11	.	.	PUNCT
bjmsr-313	80	1	table	table	NOUN
bjmsr-313	80	2	4	4	NUM
bjmsr-313	80	3	.	.	PUNCT
bjmsr-313	81	1	the	the	DET
bjmsr-313	81	2	cpu	cpu	ADJ
bjmsr-313	81	3	time	time	NOUN
bjmsr-313	81	4	for	for	ADP
bjmsr-313	81	5	multiple	multiple	ADJ
bjmsr-313	81	6	model	model	NOUN
bjmsr-313	81	7	(	(	PUNCT
bjmsr-313	81	8	m=5,15	m=5,15	NOUN
bjmsr-313	81	9	)	)	PUNCT
bjmsr-313	81	10	.	.	PUNCT
bjmsr-313	82	1	n	n	PRON
bjmsr-313	82	2	m	m	VERB
bjmsr-313	82	3	a	a	DET
bjmsr-313	82	4	afk	afk	NOUN
bjmsr-313	82	5	bs	bs	NOUN
bjmsr-313	82	6	100	100	NUM
bjmsr-313	82	7	5	5	NUM
bjmsr-313	82	8	0.331	0.331	NUM
bjmsr-313	82	9	(	(	PUNCT
bjmsr-313	82	10	0.53	0.53	NUM
bjmsr-313	82	11	)	)	PUNCT
bjmsr-313	82	12	0.149	0.149	NUM
bjmsr-313	82	13	(	(	PUNCT
bjmsr-313	82	14	0.23	0.23	NUM
bjmsr-313	82	15	)	)	PUNCT
bjmsr-313	82	16	0.114	0.114	NUM
bjmsr-313	82	17	(	(	PUNCT
bjmsr-313	82	18	0.17	0.17	NUM
bjmsr-313	82	19	)	)	PUNCT
bjmsr-313	82	20	100	100	NUM
bjmsr-313	82	21	15	15	NUM
bjmsr-313	82	22	1.976	1.976	NUM
bjmsr-313	82	23	(	(	PUNCT
bjmsr-313	82	24	2.73	2.73	NUM
bjmsr-313	82	25	)	)	PUNCT
bjmsr-313	82	26	1.313	1.313	NUM
bjmsr-313	82	27	(	(	PUNCT
bjmsr-313	82	28	1.70	1.70	NUM
bjmsr-313	82	29	)	)	PUNCT
bjmsr-313	82	30	0.933	0.933	NUM
bjmsr-313	82	31	(	(	PUNCT
bjmsr-313	82	32	1.38	1.38	NUM
bjmsr-313	82	33	)	)	PUNCT
bjmsr-313	82	34	500	500	NUM
bjmsr-313	82	35	5	5	NUM
bjmsr-313	82	36	3.686	3.686	NUM
bjmsr-313	82	37	(	(	PUNCT
bjmsr-313	82	38	5.47	5.47	NUM
bjmsr-313	82	39	)	)	PUNCT
bjmsr-313	82	40	1.120	1.120	NUM
bjmsr-313	82	41	(	(	PUNCT
bjmsr-313	82	42	1.81	1.81	NUM
bjmsr-313	82	43	)	)	PUNCT
bjmsr-313	82	44	0.829	0.829	NUM
bjmsr-313	82	45	(	(	PUNCT
bjmsr-313	82	46	1.22	1.22	NUM
bjmsr-313	82	47	)	)	PUNCT
bjmsr-313	82	48	500	500	NUM
bjmsr-313	82	49	15	15	NUM
bjmsr-313	82	50	17.876	17.876	NUM
bjmsr-313	82	51	(	(	PUNCT
bjmsr-313	82	52	23.4	23.4	NUM
bjmsr-313	82	53	)	)	PUNCT
bjmsr-313	82	54	7.808	7.808	NUM
bjmsr-313	82	55	(	(	PUNCT
bjmsr-313	82	56	10.1	10.1	NUM
bjmsr-313	82	57	)	)	PUNCT
bjmsr-313	82	58	7.294	7.294	NUM
bjmsr-313	82	59	(	(	PUNCT
bjmsr-313	82	60	9.13	9.13	NUM
bjmsr-313	82	61	)	)	PUNCT
bjmsr-313	82	62	1000	1000	NUM
bjmsr-313	82	63	5	5	NUM
bjmsr-313	82	64	13.211	13.211	NUM
bjmsr-313	82	65	(	(	PUNCT
bjmsr-313	82	66	18.3	18.3	NUM
bjmsr-313	82	67	)	)	PUNCT
bjmsr-313	82	68	2.930	2.930	NUM
bjmsr-313	82	69	(	(	PUNCT
bjmsr-313	82	70	4.38	4.38	NUM
bjmsr-313	82	71	)	)	PUNCT
bjmsr-313	83	1	+	+	PUNCT
bjmsr-313	84	1	+	+	CCONJ
bjmsr-313	84	2	1000	1000	NUM
bjmsr-313	84	3	15	15	NUM
bjmsr-313	84	4	49.866	49.866	NUM
bjmsr-313	84	5	(	(	PUNCT
bjmsr-313	84	6	72.7	72.7	NUM
bjmsr-313	84	7	)	)	PUNCT
bjmsr-313	84	8	17.901	17.901	NUM
bjmsr-313	84	9	(	(	PUNCT
bjmsr-313	84	10	24.0	24.0	NUM
bjmsr-313	84	11	)	)	PUNCT
bjmsr-313	84	12	+	+	PUNCT
bjmsr-313	85	1	+	+	NUM
bjmsr-313	85	2	5000	5000	NUM
bjmsr-313	85	3	5	5	NUM
bjmsr-313	85	4	248.91	248.91	NUM
bjmsr-313	85	5	*	*	PUNCT
bjmsr-313	85	6	(	(	PUNCT
bjmsr-313	85	7	----	----	PUNCT
bjmsr-313	85	8	)	)	PUNCT
bjmsr-313	86	1	34.311	34.311	NUM
bjmsr-313	86	2	(	(	PUNCT
bjmsr-313	86	3	51.8	51.8	NUM
bjmsr-313	86	4	)	)	PUNCT
bjmsr-313	86	5	+	+	PUNCT
bjmsr-313	87	1	+	+	NUM
bjmsr-313	87	2	5000	5000	NUM
bjmsr-313	87	3	15	15	NUM
bjmsr-313	87	4	687.31	687.31	NUM
bjmsr-313	87	5	*	*	PUNCT
bjmsr-313	87	6	(	(	PUNCT
bjmsr-313	87	7	----	----	PUNCT
bjmsr-313	87	8	)	)	PUNCT
bjmsr-313	87	9	140.321	140.321	NUM
bjmsr-313	87	10	(	(	PUNCT
bjmsr-313	87	11	160.1	160.1	NUM
bjmsr-313	87	12	)	)	PUNCT
bjmsr-313	88	1	+	+	CCONJ
bjmsr-313	89	1	+	+	CCONJ
bjmsr-313	89	2	see	see	VERB
bjmsr-313	89	3	table	table	NOUN
bjmsr-313	89	4	1	1	NUM
bjmsr-313	89	5	for	for	ADP
bjmsr-313	89	6	abbreviations	abbreviation	NOUN
bjmsr-313	89	7	.	.	PUNCT
bjmsr-313	90	1	*	*	PUNCT
bjmsr-313	90	2	average	average	NOUN
bjmsr-313	90	3	of	of	ADP
bjmsr-313	90	4	three	three	NUM
bjmsr-313	90	5	runs	run	NOUN
bjmsr-313	90	6	.	.	PUNCT
bjmsr-313	91	1	+	+	CCONJ
bjmsr-313	91	2	failed	fail	VERB
bjmsr-313	91	3	to	to	PART
bjmsr-313	91	4	produce	produce	VERB
bjmsr-313	91	5	correct	correct	ADJ
bjmsr-313	91	6	answers	answer	NOUN
bjmsr-313	91	7	.	.	PUNCT
bjmsr-313	92	1	source	source	NOUN
bjmsr-313	92	2	:	:	PUNCT
bjmsr-313	92	3	gentle	gentle	ADJ
bjmsr-313	92	4	,	,	PUNCT
bjmsr-313	92	5	narula	narula	NOUN
bjmsr-313	92	6	,	,	PUNCT
bjmsr-313	92	7	sposito	sposito	X
bjmsr-313	92	8	(	(	PUNCT
bjmsr-313	92	9	1987	1987	NUM
bjmsr-313	92	10	)	)	PUNCT
bjmsr-313	92	11	.	.	PUNCT
bjmsr-313	93	1	by	by	ADP
bjmsr-313	93	2	considering	consider	VERB
bjmsr-313	93	3	all	all	DET
bjmsr-313	93	4	aspects	aspect	NOUN
bjmsr-313	93	5	,	,	PUNCT
bjmsr-313	93	6	they	they	PRON
bjmsr-313	93	7	concluded	conclude	VERB
bjmsr-313	93	8	that	that	SCONJ
bjmsr-313	93	9	afk	afk	PROPN
bjmsr-313	93	10	seems	seem	VERB
bjmsr-313	93	11	to	to	PART
bjmsr-313	93	12	be	be	AUX
bjmsr-313	93	13	the	the	DET
bjmsr-313	93	14	best	good	ADJ
bjmsr-313	93	15	.	.	PUNCT
bjmsr-313	94	1	2	2	X
bjmsr-313	94	2	.	.	X
bjmsr-313	94	3	design	design	NOUN
bjmsr-313	94	4	of	of	ADP
bjmsr-313	94	5	experiments	experiment	NOUN
bjmsr-313	94	6	performance	performance	NOUN
bjmsr-313	94	7	of	of	ADP
bjmsr-313	94	8	every	every	DET
bjmsr-313	94	9	algorithm	algorithm	NOUN
bjmsr-313	94	10	in	in	ADP
bjmsr-313	94	11	any	any	DET
bjmsr-313	94	12	specific	specific	ADJ
bjmsr-313	94	13	computing	computing	NOUN
bjmsr-313	94	14	environment	environment	NOUN
bjmsr-313	94	15	is	be	AUX
bjmsr-313	94	16	different	different	ADJ
bjmsr-313	94	17	and	and	CCONJ
bjmsr-313	94	18	thus	thus	ADV
bjmsr-313	94	19	makes	make	VERB
bjmsr-313	94	20	the	the	DET
bjmsr-313	94	21	absolute	absolute	ADJ
bjmsr-313	94	22	comparison	comparison	NOUN
bjmsr-313	94	23	of	of	ADP
bjmsr-313	94	24	algorithms	algorithm	NOUN
bjmsr-313	94	25	very	very	ADV
bjmsr-313	94	26	difficult	difficult	ADJ
bjmsr-313	94	27	,	,	PUNCT
bjmsr-313	94	28	especially	especially	ADV
bjmsr-313	94	29	if	if	SCONJ
bjmsr-313	94	30	the	the	DET
bjmsr-313	94	31	system	system	NOUN
bjmsr-313	94	32	uses	use	VERB
bjmsr-313	94	33	,	,	PUNCT
bjmsr-313	94	34	virtual	virtual	ADJ
bjmsr-313	94	35	or	or	CCONJ
bjmsr-313	94	36	real	real	ADJ
bjmsr-313	94	37	storage	storage	NOUN
bjmsr-313	94	38	,	,	PUNCT
bjmsr-313	94	39	a	a	DET
bjmsr-313	94	40	cache	cache	NOUN
bjmsr-313	94	41	or	or	CCONJ
bjmsr-313	94	42	any	any	DET
bjmsr-313	94	43	array	array	NOUN
bjmsr-313	94	44	processor	processor	NOUN
bjmsr-313	94	45	or	or	CCONJ
bjmsr-313	94	46	mathematical	mathematical	ADJ
bjmsr-313	94	47	co	co	NOUN
bjmsr-313	94	48	-	-	NOUN
bjmsr-313	94	49	processor	processor	NOUN
bjmsr-313	94	50	and	and	CCONJ
bjmsr-313	94	51	etc	etc	X
bjmsr-313	94	52	.	.	X
bjmsr-313	94	53	as	as	SCONJ
bjmsr-313	94	54	it	it	PRON
bjmsr-313	94	55	was	be	AUX
bjmsr-313	94	56	discussed	discuss	VERB
bjmsr-313	94	57	by	by	ADP
bjmsr-313	94	58	bidabad	bidabad	NOUN
bjmsr-313	94	59	(	(	PUNCT
bjmsr-313	94	60	1989a	1989a	NUM
bjmsr-313	94	61	,	,	PUNCT
bjmsr-313	94	62	b	b	NOUN
bjmsr-313	94	63	)	)	PUNCT
bjmsr-313	94	64	,	,	PUNCT
bjmsr-313	94	65	many	many	ADJ
bjmsr-313	94	66	algorithms	algorithm	NOUN
bjmsr-313	94	67	exist	exist	VERB
bjmsr-313	94	68	for	for	ADP
bjmsr-313	94	69	l1	l1	PROPN
bjmsr-313	94	70	norm	norm	NOUN
bjmsr-313	94	71	regression	regression	NOUN
bjmsr-313	94	72	with	with	ADP
bjmsr-313	94	73	corresponding	correspond	VERB
bjmsr-313	94	74	computer	computer	NOUN
bjmsr-313	94	75	program	program	NOUN
bjmsr-313	94	76	and	and	CCONJ
bjmsr-313	94	77	comparison	comparison	NOUN
bjmsr-313	94	78	of	of	ADP
bjmsr-313	94	79	all	all	PRON
bjmsr-313	94	80	of	of	ADP
bjmsr-313	94	81	them	they	PRON
bjmsr-313	94	82	is	be	AUX
bjmsr-313	94	83	very	very	ADV
bjmsr-313	94	84	costly	costly	ADJ
bjmsr-313	94	85	.	.	PUNCT
bjmsr-313	95	1	in	in	ADP
bjmsr-313	95	2	order	order	NOUN
bjmsr-313	95	3	to	to	PART
bjmsr-313	95	4	reduce	reduce	VERB
bjmsr-313	95	5	the	the	DET
bjmsr-313	95	6	number	number	NOUN
bjmsr-313	95	7	of	of	ADP
bjmsr-313	95	8	experiments	experiment	NOUN
bjmsr-313	95	9	,	,	PUNCT
bjmsr-313	95	10	we	we	PRON
bjmsr-313	95	11	rely	rely	VERB
bjmsr-313	95	12	on	on	ADP
bjmsr-313	95	13	the	the	DET
bjmsr-313	95	14	experience	experience	NOUN
bjmsr-313	95	15	of	of	ADP
bjmsr-313	95	16	previous	previous	ADJ
bjmsr-313	95	17	researchers	researcher	NOUN
bjmsr-313	95	18	which	which	PRON
bjmsr-313	95	19	were	be	AUX
bjmsr-313	95	20	discussed	discuss	VERB
bjmsr-313	95	21	above	above	ADV
bjmsr-313	95	22	.	.	PUNCT
bjmsr-313	96	1	however	however	ADV
bjmsr-313	96	2	,	,	PUNCT
bjmsr-313	96	3	the	the	DET
bjmsr-313	96	4	experiments	experiment	NOUN
bjmsr-313	96	5	are	be	AUX
bjmsr-313	96	6	divided	divide	VERB
bjmsr-313	96	7	into	into	ADP
bjmsr-313	96	8	two	two	NUM
bjmsr-313	96	9	general	general	ADJ
bjmsr-313	96	10	categories	category	NOUN
bjmsr-313	96	11	of	of	ADP
bjmsr-313	96	12	simple	simple	ADJ
bjmsr-313	96	13	and	and	CCONJ
bjmsr-313	96	14	multiple	multiple	ADJ
bjmsr-313	96	15	linear	linear	PROPN
bjmsr-313	96	16	l1	l1	PROPN
bjmsr-313	96	17	norm	norm	NOUN
bjmsr-313	96	18	regressions	regression	NOUN
bjmsr-313	96	19	.	.	PUNCT
bjmsr-313	97	1	despite	despite	SCONJ
bjmsr-313	97	2	the	the	DET
bjmsr-313	97	3	coded	code	VERB
bjmsr-313	97	4	computer	computer	NOUN
bjmsr-313	97	5	programs	program	NOUN
bjmsr-313	97	6	,	,	PUNCT
bjmsr-313	97	7	computing	compute	VERB
bjmsr-313	97	8	environment	environment	NOUN
bjmsr-313	97	9	,	,	PUNCT
bjmsr-313	97	10	numbers	number	NOUN
bjmsr-313	97	11	of	of	ADP
bjmsr-313	97	12	observations	observation	NOUN
bjmsr-313	97	13	and	and	CCONJ
bjmsr-313	97	14	parameters	parameter	NOUN
bjmsr-313	97	15	of	of	ADP
bjmsr-313	97	16	the	the	DET
bjmsr-313	97	17	model	model	NOUN
bjmsr-313	97	18	and	and	CCONJ
bjmsr-313	97	19	"	"	PUNCT
bjmsr-313	97	20	condition	condition	NOUN
bjmsr-313	97	21	"	"	PUNCT
bjmsr-313	97	22	of	of	ADP
bjmsr-313	97	23	data	datum	NOUN
bjmsr-313	97	24	are	be	AUX
bjmsr-313	97	25	the	the	DET
bjmsr-313	97	26	major	major	ADJ
bjmsr-313	97	27	sources	source	NOUN
bjmsr-313	97	28	of	of	ADP
bjmsr-313	97	29	comparisons	comparison	NOUN
bjmsr-313	97	30	for	for	ADP
bjmsr-313	97	31	performances	performance	NOUN
bjmsr-313	97	32	of	of	ADP
bjmsr-313	97	33	algorithms	algorithm	NOUN
bjmsr-313	97	34	.	.	PUNCT
bjmsr-313	98	1	thus	thus	ADV
bjmsr-313	98	2	different	different	ADJ
bjmsr-313	98	3	sizes	size	NOUN
bjmsr-313	98	4	problems	problem	NOUN
bjmsr-313	98	5	are	be	AUX
bjmsr-313	98	6	to	to	PART
bjmsr-313	98	7	be	be	AUX
bjmsr-313	98	8	tested	test	VERB
bjmsr-313	98	9	in	in	ADP
bjmsr-313	98	10	this	this	DET
bjmsr-313	98	11	section	section	NOUN
bjmsr-313	98	12	.	.	PUNCT
bjmsr-313	99	1	to	to	PART
bjmsr-313	99	2	judge	judge	VERB
bjmsr-313	99	3	the	the	DET
bjmsr-313	99	4	superiority	superiority	NOUN
bjmsr-313	99	5	of	of	ADP
bjmsr-313	99	6	algorithms	algorithm	NOUN
bjmsr-313	99	7	,	,	PUNCT
bjmsr-313	99	8	there	there	PRON
bjmsr-313	99	9	are	be	VERB
bjmsr-313	99	10	many	many	ADJ
bjmsr-313	99	11	criteria	criterion	NOUN
bjmsr-313	99	12	.	.	PUNCT
bjmsr-313	100	1	accuracy	accuracy	NOUN
bjmsr-313	100	2	and	and	CCONJ
bjmsr-313	100	3	efficiency	efficiency	NOUN
bjmsr-313	100	4	are	be	AUX
bjmsr-313	100	5	basic	basic	ADJ
bjmsr-313	100	6	ones	one	NOUN
bjmsr-313	100	7	.	.	PUNCT
bjmsr-313	101	1	in	in	ADP
bjmsr-313	101	2	the	the	DET
bjmsr-313	101	3	former	former	NOUN
bjmsr-313	101	4	,	,	PUNCT
bjmsr-313	101	5	we	we	PRON
bjmsr-313	101	6	are	be	AUX
bjmsr-313	101	7	concerned	concerned	ADJ
bjmsr-313	101	8	with	with	ADP
bjmsr-313	101	9	obtaining	obtain	VERB
bjmsr-313	101	10	the	the	DET
bjmsr-313	101	11	true	true	ADJ
bjmsr-313	101	12	results	result	NOUN
bjmsr-313	101	13	in	in	ADP
bjmsr-313	101	14	different	different	ADJ
bjmsr-313	101	15	samples	sample	NOUN
bjmsr-313	101	16	,	,	PUNCT
bjmsr-313	101	17	and	and	CCONJ
bjmsr-313	101	18	in	in	ADP
bjmsr-313	101	19	the	the	DET
bjmsr-313	101	20	latter	latter	ADJ
bjmsr-313	101	21	,	,	PUNCT
bjmsr-313	101	22	the	the	DET
bjmsr-313	101	23	computation	computation	NOUN
bjmsr-313	101	24	time	time	NOUN
bjmsr-313	101	25	and	and	CCONJ
bjmsr-313	101	26	storage	storage	NOUN
bjmsr-313	101	27	requirement	requirement	NOUN
bjmsr-313	101	28	of	of	ADP
bjmsr-313	101	29	the	the	DET
bjmsr-313	101	30	algorithms	algorithm	NOUN
bjmsr-313	101	31	are	be	AUX
bjmsr-313	101	32	compared	compare	VERB
bjmsr-313	101	33	.	.	PUNCT
bjmsr-313	102	1	to	to	PART
bjmsr-313	102	2	perform	perform	VERB
bjmsr-313	102	3	the	the	DET
bjmsr-313	102	4	experiments	experiment	NOUN
bjmsr-313	102	5	,	,	PUNCT
bjmsr-313	102	6	once	once	ADV
bjmsr-313	102	7	uniform	uniform	ADJ
bjmsr-313	102	8	random	random	ADJ
bjmsr-313	102	9	values	value	NOUN
bjmsr-313	102	10	selected	select	VERB
bjmsr-313	102	11	for	for	ADP
bjmsr-313	102	12	ßj	ßj	INTJ
bjmsr-313	102	13	in	in	ADP
bjmsr-313	102	14	the	the	DET
bjmsr-313	102	15	following	following	ADJ
bjmsr-313	102	16	model	model	NOUN
bjmsr-313	102	17	,	,	PUNCT
bjmsr-313	102	18	m	m	VERB
bjmsr-313	102	19	yi	yi	NOUN
bjmsr-313	102	20	=	=	PUNCT
bjmsr-313	102	21			NOUN
bjmsr-313	102	22	jxij	jxij	NOUN
bjmsr-313	102	23	+	+	CCONJ
bjmsr-313	102	24	ui	ui	PROPN
bjmsr-313	102	25	i=1,	i=1,	NOUN
bjmsr-313	102	26	...	...	PUNCT
bjmsr-313	102	27	,n	,n	PUNCT
bjmsr-313	102	28	(	(	PUNCT
bjmsr-313	102	29	1	1	X
bjmsr-313	102	30	)	)	PUNCT
bjmsr-313	102	31	j=1	j=1	NOUN
bjmsr-313	102	32	random	random	ADJ
bjmsr-313	102	33	values	value	NOUN
bjmsr-313	102	34	generated	generate	VERB
bjmsr-313	102	35	for	for	ADP
bjmsr-313	102	36	xij	xij	PRON
bjmsr-313	102	37	and	and	CCONJ
bjmsr-313	102	38	ui	ui	NOUN
bjmsr-313	102	39	with	with	ADP
bjmsr-313	102	40	five	five	NUM
bjmsr-313	102	41	specifications	specification	NOUN
bjmsr-313	102	42	of	of	ADP
bjmsr-313	102	43	distributions	distribution	NOUN
bjmsr-313	102	44	.	.	PUNCT
bjmsr-313	103	1	uniform	uniform	NOUN
bjmsr-313	103	2	and	and	CCONJ
bjmsr-313	103	3	normal	normal	ADJ
bjmsr-313	103	4	random	random	ADJ
bjmsr-313	103	5	generators	generator	NOUN
bjmsr-313	103	6	(	(	PUNCT
bjmsr-313	103	7	given	give	VERB
bjmsr-313	103	8	by	by	ADP
bjmsr-313	103	9	mojarrad	mojarrad	NOUN
bjmsr-313	103	10	(	(	PUNCT
bjmsr-313	103	11	1977	1977	NUM
bjmsr-313	103	12	)	)	PUNCT
bjmsr-313	103	13	)	)	PUNCT
bjmsr-313	103	14	used	use	VERB
bjmsr-313	103	15	to	to	PART
bjmsr-313	103	16	generate	generate	VERB
bjmsr-313	103	17	three	three	NUM
bjmsr-313	103	18	uniforms	uniform	NOUN
bjmsr-313	103	19	and	and	CCONJ
bjmsr-313	103	20	two	two	NUM
bjmsr-313	103	21	normal	normal	ADJ
bjmsr-313	103	22	sets	set	NOUN
bjmsr-313	103	23	of	of	ADP
bjmsr-313	103	24	random	random	ADJ
bjmsr-313	103	25	data	datum	NOUN
bjmsr-313	103	26	for	for	ADP
bjmsr-313	103	27	each	each	DET
bjmsr-313	103	28	experiment	experiment	NOUN
bjmsr-313	103	29	.	.	PUNCT
bjmsr-313	104	1	generated	generate	VERB
bjmsr-313	104	2	uniform	uniform	ADJ
bjmsr-313	104	3	random	random	ADJ
bjmsr-313	104	4	deviates	deviate	NOUN
bjmsr-313	104	5	belong	belong	VERB
bjmsr-313	104	6	to	to	ADP
bjmsr-313	104	7	the	the	DET
bjmsr-313	104	8	[	[	NOUN
bjmsr-313	104	9	-10,10	-10,10	X
bjmsr-313	104	10	]	]	PUNCT
bjmsr-313	104	11	,	,	PUNCT
bjmsr-313	104	12	[	[	X
bjmsr-313	104	13	-100,100	-100,100	X
bjmsr-313	104	14	]	]	X
bjmsr-313	104	15	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	104	16	bangladesh	bangladesh	PROPN
bjmsr-313	104	17	journal	journal	PROPN
bjmsr-313	104	18	of	of	ADP
bjmsr-313	104	19	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	104	20	scientific	scientific	ADJ
bjmsr-313	104	21	research	research	NOUN
bjmsr-313	104	22	vol	vol	NOUN
bjmsr-313	104	23	.	.	PROPN
bjmsr-313	105	1	1	1	NUM
bjmsr-313	105	2	,	,	PUNCT
bjmsr-313	105	3	no	no	INTJ
bjmsr-313	105	4	.	.	NOUN
bjmsr-313	105	5	1	1	NUM
bjmsr-313	105	6	;	;	PUNCT
bjmsr-313	105	7	2019	2019	NUM
bjmsr-313	105	8	34	34	NUM
bjmsr-313	105	9	and	and	CCONJ
bjmsr-313	105	10	[	[	X
bjmsr-313	105	11	-1000,1000	-1000,1000	X
bjmsr-313	105	12	]	]	X
bjmsr-313	105	13	intervals	interval	NOUN
bjmsr-313	105	14	.	.	PUNCT
bjmsr-313	106	1	normal	normal	ADJ
bjmsr-313	106	2	deviates	deviate	VERB
bjmsr-313	106	3	have	have	AUX
bjmsr-313	106	4	zero	zero	NUM
bjmsr-313	106	5	mean	mean	NOUN
bjmsr-313	106	6	with	with	ADP
bjmsr-313	106	7	100	100	NUM
bjmsr-313	106	8	and	and	CCONJ
bjmsr-313	106	9	1000	1000	NUM
bjmsr-313	106	10	variances	variance	NOUN
bjmsr-313	106	11	.	.	PUNCT
bjmsr-313	107	1	values	value	NOUN
bjmsr-313	107	2	of	of	ADP
bjmsr-313	107	3	yi	yi	PROPN
bjmsr-313	107	4	computed	compute	VERB
bjmsr-313	107	5	for	for	ADP
bjmsr-313	107	6	ßj	ßj	PRON
bjmsr-313	107	7	,	,	PUNCT
bjmsr-313	107	8	xij	xij	PRON
bjmsr-313	107	9	,	,	PUNCT
bjmsr-313	107	10	and	and	CCONJ
bjmsr-313	107	11	ui	ui	PROPN
bjmsr-313	107	12	which	which	PRON
bjmsr-313	107	13	had	have	AUX
bjmsr-313	107	14	been	be	AUX
bjmsr-313	107	15	generated	generate	VERB
bjmsr-313	107	16	as	as	SCONJ
bjmsr-313	107	17	explained	explain	VERB
bjmsr-313	107	18	above	above	ADV
bjmsr-313	107	19	.	.	PUNCT
bjmsr-313	108	1	values	value	NOUN
bjmsr-313	108	2	of	of	ADP
bjmsr-313	108	3	20	20	NUM
bjmsr-313	108	4	,	,	PUNCT
bjmsr-313	108	5	50	50	NUM
bjmsr-313	108	6	,	,	PUNCT
bjmsr-313	108	7	100	100	NUM
bjmsr-313	108	8	,	,	PUNCT
bjmsr-313	108	9	500	500	NUM
bjmsr-313	108	10	,	,	PUNCT
bjmsr-313	108	11	1000	1000	NUM
bjmsr-313	108	12	,	,	PUNCT
bjmsr-313	108	13	2000	2000	NUM
bjmsr-313	108	14	,	,	PUNCT
bjmsr-313	108	15	5000	5000	NUM
bjmsr-313	108	16	and	and	CCONJ
bjmsr-313	108	17	10000	10000	NUM
bjmsr-313	108	18	were	be	AUX
bjmsr-313	108	19	used	use	VERB
bjmsr-313	108	20	for	for	ADP
bjmsr-313	108	21	the	the	DET
bjmsr-313	108	22	number	number	NOUN
bjmsr-313	108	23	of	of	ADP
bjmsr-313	108	24	observations	observation	NOUN
bjmsr-313	108	25	n	n	ADP
bjmsr-313	108	26	and	and	CCONJ
bjmsr-313	108	27	values	value	NOUN
bjmsr-313	108	28	of	of	ADP
bjmsr-313	108	29	2	2	NUM
bjmsr-313	108	30	,	,	PUNCT
bjmsr-313	108	31	3	3	NUM
bjmsr-313	108	32	,	,	PUNCT
bjmsr-313	108	33	4	4	NUM
bjmsr-313	108	34	,	,	PUNCT
bjmsr-313	108	35	5	5	NUM
bjmsr-313	108	36	,	,	PUNCT
bjmsr-313	108	37	7	7	NUM
bjmsr-313	108	38	and	and	CCONJ
bjmsr-313	108	39	10	10	NUM
bjmsr-313	108	40	selected	select	VERB
bjmsr-313	108	41	for	for	ADP
bjmsr-313	108	42	the	the	DET
bjmsr-313	108	43	number	number	NOUN
bjmsr-313	108	44	of	of	ADP
bjmsr-313	108	45	parameters	parameter	NOUN
bjmsr-313	108	46	m.	m.	VERB
bjmsr-313	108	47	hence	hence	ADV
bjmsr-313	108	48	,	,	PUNCT
bjmsr-313	108	49	for	for	ADP
bjmsr-313	108	50	all	all	PRON
bjmsr-313	108	51	of	of	ADP
bjmsr-313	108	52	the	the	DET
bjmsr-313	108	53	five	five	NUM
bjmsr-313	108	54	specifications	specification	NOUN
bjmsr-313	108	55	of	of	ADP
bjmsr-313	108	56	distribution	distribution	NOUN
bjmsr-313	108	57	of	of	ADP
bjmsr-313	108	58	ui	ui	PROPN
bjmsr-313	108	59	,	,	PUNCT
bjmsr-313	108	60	and	and	CCONJ
bjmsr-313	108	61	for	for	ADP
bjmsr-313	108	62	all	all	DET
bjmsr-313	108	63	m	m	NOUN
bjmsr-313	108	64	and	and	CCONJ
bjmsr-313	108	65	n	n	CCONJ
bjmsr-313	108	66	,	,	PUNCT
bjmsr-313	108	67	replication	replication	NOUN
bjmsr-313	108	68	is	be	AUX
bjmsr-313	108	69	done	do	VERB
bjmsr-313	108	70	for	for	ADP
bjmsr-313	108	71	each	each	PRON
bjmsr-313	108	72	of	of	ADP
bjmsr-313	108	73	the	the	DET
bjmsr-313	108	74	selected	select	VERB
bjmsr-313	108	75	algorithms	algorithm	NOUN
bjmsr-313	108	76	.	.	PUNCT
bjmsr-313	109	1	average	average	ADJ
bjmsr-313	109	2	and	and	CCONJ
bjmsr-313	109	3	range	range	NOUN
bjmsr-313	109	4	of	of	ADP
bjmsr-313	109	5	these	these	DET
bjmsr-313	109	6	five	five	NUM
bjmsr-313	109	7	replications	replication	NOUN
bjmsr-313	109	8	are	be	AUX
bjmsr-313	109	9	reported	report	VERB
bjmsr-313	109	10	for	for	ADP
bjmsr-313	109	11	each	each	DET
bjmsr-313	109	12	m	m	NOUN
bjmsr-313	109	13	and	and	CCONJ
bjmsr-313	109	14	n	n	PROPN
bjmsr-313	109	15	for	for	ADP
bjmsr-313	109	16	each	each	DET
bjmsr-313	109	17	algorithm	algorithm	NOUN
bjmsr-313	109	18	.	.	PUNCT
bjmsr-313	110	1	in	in	ADP
bjmsr-313	110	2	the	the	DET
bjmsr-313	110	3	case	case	NOUN
bjmsr-313	110	4	of	of	ADP
bjmsr-313	110	5	simple	simple	ADJ
bjmsr-313	110	6	regression	regression	NOUN
bjmsr-313	110	7	number	number	NOUN
bjmsr-313	110	8	of	of	ADP
bjmsr-313	110	9	replications	replication	NOUN
bjmsr-313	110	10	is	be	AUX
bjmsr-313	110	11	ten	ten	NUM
bjmsr-313	110	12	than	than	ADP
bjmsr-313	110	13	five	five	NUM
bjmsr-313	110	14	.	.	PUNCT
bjmsr-313	111	1	the	the	DET
bjmsr-313	111	2	programs	program	NOUN
bjmsr-313	111	3	were	be	AUX
bjmsr-313	111	4	all	all	PRON
bjmsr-313	111	5	compiled	compile	VERB
bjmsr-313	111	6	by	by	ADP
bjmsr-313	111	7	fortran	fortran	NOUN
bjmsr-313	111	8	iv	iv	NUM
bjmsr-313	111	9	,	,	PUNCT
bjmsr-313	111	10	vs	vs	ADP
bjmsr-313	111	11	compiler	compiler	NOUN
bjmsr-313	111	12	,	,	PUNCT
bjmsr-313	111	13	1.3.0	1.3.0	NUM
bjmsr-313	111	14	level	level	NOUN
bjmsr-313	111	15	(	(	PUNCT
bjmsr-313	111	16	may	may	NOUN
bjmsr-313	111	17	1983	1983	NUM
bjmsr-313	111	18	)	)	PUNCT
bjmsr-313	111	19	and	and	CCONJ
bjmsr-313	111	20	77	77	NUM
bjmsr-313	111	21	langlvl	langlvl	NOUN
bjmsr-313	111	22	with	with	ADP
bjmsr-313	111	23	03	03	NUM
bjmsr-313	111	24	optimization	optimization	NOUN
bjmsr-313	111	25	level	level	NOUN
bjmsr-313	111	26	to	to	PART
bjmsr-313	111	27	reduce	reduce	VERB
bjmsr-313	111	28	the	the	DET
bjmsr-313	111	29	coding	code	VERB
bjmsr-313	111	30	inefficiencies	inefficiency	NOUN
bjmsr-313	111	31	.	.	PUNCT
bjmsr-313	112	1	the	the	DET
bjmsr-313	112	2	programs	program	NOUN
bjmsr-313	112	3	were	be	AUX
bjmsr-313	112	4	run	run	VERB
bjmsr-313	112	5	on	on	ADP
bjmsr-313	112	6	basf	basf	PROPN
bjmsr-313	112	7	7.68	7.68	NUM
bjmsr-313	112	8	(	(	PUNCT
bjmsr-313	112	9	mvs	mvs	PROPN
bjmsr-313	112	10	)	)	PUNCT
bjmsr-313	112	11	computer	computer	NOUN
bjmsr-313	112	12	.	.	PUNCT
bjmsr-313	113	1	since	since	SCONJ
bjmsr-313	113	2	this	this	DET
bjmsr-313	113	3	machine	machine	NOUN
bjmsr-313	113	4	is	be	AUX
bjmsr-313	113	5	a	a	DET
bjmsr-313	113	6	multitasking	multitaske	VERB
bjmsr-313	113	7	system	system	NOUN
bjmsr-313	113	8	,	,	PUNCT
bjmsr-313	113	9	swapping	swap	VERB
bjmsr-313	113	10	process	process	NOUN
bjmsr-313	113	11	should	should	AUX
bjmsr-313	113	12	affect	affect	VERB
bjmsr-313	113	13	the	the	DET
bjmsr-313	113	14	execution	execution	NOUN
bjmsr-313	113	15	time	time	NOUN
bjmsr-313	113	16	.	.	PUNCT
bjmsr-313	114	1	when	when	SCONJ
bjmsr-313	114	2	the	the	DET
bjmsr-313	114	3	system	system	NOUN
bjmsr-313	114	4	is	be	AUX
bjmsr-313	114	5	running	run	VERB
bjmsr-313	114	6	for	for	ADP
bjmsr-313	114	7	more	more	ADJ
bjmsr-313	114	8	than	than	ADP
bjmsr-313	114	9	one	one	NUM
bjmsr-313	114	10	job	job	NOUN
bjmsr-313	114	11	,	,	PUNCT
bjmsr-313	114	12	this	this	DET
bjmsr-313	114	13	effect	effect	NOUN
bjmsr-313	114	14	can	can	AUX
bjmsr-313	114	15	not	not	PART
bjmsr-313	114	16	be	be	AUX
bjmsr-313	114	17	measured	measure	VERB
bjmsr-313	114	18	and	and	CCONJ
bjmsr-313	114	19	removed	remove	VERB
bjmsr-313	114	20	completely	completely	ADV
bjmsr-313	114	21	.	.	PUNCT
bjmsr-313	115	1	in	in	ADP
bjmsr-313	115	2	order	order	NOUN
bjmsr-313	115	3	to	to	PART
bjmsr-313	115	4	filter	filter	VERB
bjmsr-313	115	5	the	the	DET
bjmsr-313	115	6	swapping	swapping	NOUN
bjmsr-313	115	7	time	time	NOUN
bjmsr-313	115	8	,	,	PUNCT
bjmsr-313	115	9	service	service	NOUN
bjmsr-313	115	10	request	request	NOUN
bjmsr-313	115	11	block	block	NOUN
bjmsr-313	115	12	(	(	PUNCT
bjmsr-313	115	13	srb	srb	NOUN
bjmsr-313	115	14	)	)	PUNCT
bjmsr-313	115	15	time	time	NOUN
bjmsr-313	115	16	has	have	AUX
bjmsr-313	115	17	been	be	AUX
bjmsr-313	115	18	reduced	reduce	VERB
bjmsr-313	115	19	from	from	ADP
bjmsr-313	115	20	the	the	DET
bjmsr-313	115	21	total	total	ADJ
bjmsr-313	115	22	central	central	ADJ
bjmsr-313	115	23	processing	processing	NOUN
bjmsr-313	115	24	unit	unit	NOUN
bjmsr-313	115	25	(	(	PUNCT
bjmsr-313	115	26	cpu	cpu	PROPN
bjmsr-313	115	27	)	)	PUNCT
bjmsr-313	115	28	time	time	NOUN
bjmsr-313	115	29	.	.	PUNCT
bjmsr-313	116	1	however	however	ADV
bjmsr-313	116	2	,	,	PUNCT
bjmsr-313	116	3	when	when	SCONJ
bjmsr-313	116	4	the	the	DET
bjmsr-313	116	5	system	system	NOUN
bjmsr-313	116	6	is	be	AUX
bjmsr-313	116	7	busy	busy	ADJ
bjmsr-313	116	8	,	,	PUNCT
bjmsr-313	116	9	this	this	PRON
bjmsr-313	116	10	may	may	AUX
bjmsr-313	116	11	not	not	PART
bjmsr-313	116	12	exhaust	exhaust	VERB
bjmsr-313	116	13	all	all	DET
bjmsr-313	116	14	the	the	DET
bjmsr-313	116	15	swapping	swapping	NOUN
bjmsr-313	116	16	times	time	NOUN
bjmsr-313	116	17	.	.	PUNCT
bjmsr-313	117	1	it	it	PRON
bjmsr-313	117	2	has	have	AUX
bjmsr-313	117	3	been	be	AUX
bjmsr-313	117	4	tried	try	VERB
bjmsr-313	117	5	to	to	PART
bjmsr-313	117	6	run	run	VERB
bjmsr-313	117	7	all	all	DET
bjmsr-313	117	8	comparable	comparable	ADJ
bjmsr-313	117	9	algorithms	algorithm	NOUN
bjmsr-313	117	10	simultaneously	simultaneously	ADV
bjmsr-313	117	11	,	,	PUNCT
bjmsr-313	117	12	and	and	CCONJ
bjmsr-313	117	13	also	also	ADV
bjmsr-313	117	14	in	in	ADP
bjmsr-313	117	15	one	one	NUM
bjmsr-313	117	16	class	class	NOUN
bjmsr-313	117	17	of	of	ADP
bjmsr-313	117	18	input	input	NOUN
bjmsr-313	117	19	with	with	ADP
bjmsr-313	117	20	enough	enough	ADJ
bjmsr-313	117	21	initiators	initiator	NOUN
bjmsr-313	117	22	and	and	CCONJ
bjmsr-313	117	23	the	the	DET
bjmsr-313	117	24	same	same	ADJ
bjmsr-313	117	25	priority	priority	NOUN
bjmsr-313	117	26	level	level	NOUN
bjmsr-313	117	27	to	to	PART
bjmsr-313	117	28	cause	cause	VERB
bjmsr-313	117	29	similar	similar	ADJ
bjmsr-313	117	30	situations	situation	NOUN
bjmsr-313	117	31	for	for	ADP
bjmsr-313	117	32	all	all	DET
bjmsr-313	117	33	comparable	comparable	ADJ
bjmsr-313	117	34	submitted	submit	VERB
bjmsr-313	117	35	jobs	job	NOUN
bjmsr-313	117	36	.	.	PUNCT
bjmsr-313	118	1	the	the	DET
bjmsr-313	118	2	pre	pre	ADJ
bjmsr-313	118	3	-	-	ADJ
bjmsr-313	118	4	execution	execution	ADJ
bjmsr-313	118	5	times	time	NOUN
bjmsr-313	118	6	of	of	ADP
bjmsr-313	118	7	compilation	compilation	NOUN
bjmsr-313	118	8	and	and	CCONJ
bjmsr-313	118	9	linkage	linkage	NOUN
bjmsr-313	118	10	-	-	PUNCT
bjmsr-313	118	11	editor	editor	NOUN
bjmsr-313	118	12	are	be	AUX
bjmsr-313	118	13	excluded	exclude	VERB
bjmsr-313	118	14	from	from	ADP
bjmsr-313	118	15	all	all	DET
bjmsr-313	118	16	tested	test	VERB
bjmsr-313	118	17	programs	program	NOUN
bjmsr-313	118	18	.	.	PUNCT
bjmsr-313	119	1	3	3	X
bjmsr-313	119	2	.	.	X
bjmsr-313	119	3	comparison	comparison	NOUN
bjmsr-313	119	4	of	of	ADP
bjmsr-313	119	5	the	the	DET
bjmsr-313	119	6	simple	simple	ADJ
bjmsr-313	119	7	regression	regression	NOUN
bjmsr-313	119	8	l1	l1	PROPN
bjmsr-313	119	9	norm	norm	NOUN
bjmsr-313	119	10	algorithms	algorithm	NOUN
bjmsr-313	119	11	in	in	ADP
bjmsr-313	119	12	this	this	DET
bjmsr-313	119	13	study	study	NOUN
bjmsr-313	119	14	,	,	PUNCT
bjmsr-313	119	15	comparisons	comparison	NOUN
bjmsr-313	119	16	are	be	AUX
bjmsr-313	119	17	limited	limit	VERB
bjmsr-313	119	18	to	to	ADP
bjmsr-313	119	19	the	the	DET
bjmsr-313	119	20	algorithm	algorithm	NOUN
bjmsr-313	119	21	2	2	NUM
bjmsr-313	119	22	of	of	ADP
bjmsr-313	119	23	bidabad	bidabad	NOUN
bjmsr-313	119	24	(	(	PUNCT
bjmsr-313	119	25	1989a	1989a	NUM
bjmsr-313	119	26	,	,	PUNCT
bjmsr-313	119	27	b	b	NOUN
bjmsr-313	119	28	)	)	PUNCT
bjmsr-313	119	29	and	and	CCONJ
bjmsr-313	119	30	that	that	SCONJ
bjmsr-313	119	31	proposed	propose	VERB
bjmsr-313	119	32	by	by	ADP
bjmsr-313	119	33	josvanger	josvanger	NOUN
bjmsr-313	119	34	and	and	CCONJ
bjmsr-313	119	35	sposito	sposito	X
bjmsr-313	119	36	(	(	PUNCT
bjmsr-313	119	37	1983	1983	NUM
bjmsr-313	119	38	)	)	PUNCT
bjmsr-313	119	39	.	.	PUNCT
bjmsr-313	120	1	gentle	gentle	ADJ
bjmsr-313	120	2	and	and	CCONJ
bjmsr-313	120	3	narula	narula	NOUN
bjmsr-313	120	4	and	and	CCONJ
bjmsr-313	120	5	sposito	sposito	X
bjmsr-313	120	6	(	(	PUNCT
bjmsr-313	120	7	1987	1987	NUM
bjmsr-313	120	8	)	)	PUNCT
bjmsr-313	120	9	and	and	CCONJ
bjmsr-313	120	10	gentle	gentle	ADJ
bjmsr-313	120	11	and	and	CCONJ
bjmsr-313	120	12	sposito	sposito	NOUN
bjmsr-313	120	13	and	and	CCONJ
bjmsr-313	120	14	narula	narula	NOUN
bjmsr-313	120	15	(	(	PUNCT
bjmsr-313	120	16	1988	1988	NUM
bjmsr-313	120	17	)	)	PUNCT
bjmsr-313	120	18	introduced	introduce	VERB
bjmsr-313	120	19	the	the	DET
bjmsr-313	120	20	latter	latter	ADJ
bjmsr-313	120	21	as	as	ADP
bjmsr-313	120	22	the	the	DET
bjmsr-313	120	23	most	most	ADV
bjmsr-313	120	24	efficient	efficient	ADJ
bjmsr-313	120	25	algorithm	algorithm	NOUN
bjmsr-313	120	26	for	for	ADP
bjmsr-313	120	27	simple	simple	ADJ
bjmsr-313	120	28	linear	linear	PROPN
bjmsr-313	120	29	l1	l1	PROPN
bjmsr-313	120	30	norm	norm	PROPN
bjmsr-313	120	31	regression	regression	PROPN
bjmsr-313	120	32	.	.	PUNCT
bjmsr-313	121	1	table	table	NOUN
bjmsr-313	121	2	5	5	NUM
bjmsr-313	121	3	.	.	PUNCT
bjmsr-313	122	1	the	the	DET
bjmsr-313	122	2	array	array	NOUN
bjmsr-313	122	3	storage	storage	NOUN
bjmsr-313	122	4	requirement	requirement	NOUN
bjmsr-313	122	5	for	for	ADP
bjmsr-313	122	6	simple	simple	ADJ
bjmsr-313	122	7	model	model	NOUN
bjmsr-313	122	8	selected	select	VERB
bjmsr-313	122	9	algorithms	algorithm	NOUN
bjmsr-313	122	10	algorithm	algorithm	NOUN
bjmsr-313	122	11	program	program	NOUN
bjmsr-313	122	12	name	name	NOUN
bjmsr-313	122	13	storage	storage	NOUN
bjmsr-313	122	14	requirement	requirement	NOUN
bjmsr-313	122	15	stopping	stop	VERB
bjmsr-313	122	16	constant	constant	ADJ
bjmsr-313	122	17	js	js	ADJ
bjmsr-313	122	18	desl1	desl1	NOUN
bjmsr-313	122	19	5n	5n	NOUN
bjmsr-313	122	20	tol	tol	NOUN
bjmsr-313	122	21	=	=	PUNCT
bjmsr-313	122	22	1.0e-6	1.0e-6	NUM
bjmsr-313	122	23	b	b	X
bjmsr-313	122	24	(	(	PUNCT
bjmsr-313	122	25	alg.2	alg.2	PROPN
bjmsr-313	122	26	)	)	PUNCT
bjmsr-313	122	27	bl1s	bl1s	PROPN
bjmsr-313	122	28	5n	5n	NOUN
bjmsr-313	122	29	-----------	-----------	PUNCT
bjmsr-313	122	30	js	js	PROPN
bjmsr-313	122	31	≡	≡	PROPN
bjmsr-313	122	32	josvanger	josvanger	NOUN
bjmsr-313	122	33	and	and	CCONJ
bjmsr-313	122	34	sposito	sposito	X
bjmsr-313	122	35	(	(	PUNCT
bjmsr-313	122	36	1983	1983	NUM
bjmsr-313	122	37	)	)	PUNCT
bjmsr-313	122	38	.	.	PUNCT
bjmsr-313	123	1	b(alg.2	b(alg.2	NOUN
bjmsr-313	123	2	)	)	PUNCT
bjmsr-313	123	3	≡	≡	PROPN
bjmsr-313	123	4	bidabad	bidabad	NOUN
bjmsr-313	123	5	(	(	PUNCT
bjmsr-313	123	6	1989a	1989a	NUM
bjmsr-313	123	7	,	,	PUNCT
bjmsr-313	123	8	b	b	X
bjmsr-313	123	9	)	)	PUNCT
bjmsr-313	123	10	algorithm	algorithm	NOUN
bjmsr-313	123	11	2	2	NUM
bjmsr-313	123	12	.	.	PUNCT
bjmsr-313	123	13	n	n	NUM
bjmsr-313	123	14	≡	≡	ADJ
bjmsr-313	123	15	number	number	NOUN
bjmsr-313	123	16	of	of	ADP
bjmsr-313	123	17	observations	observation	NOUN
bjmsr-313	123	18	.	.	PUNCT
bjmsr-313	124	1	the	the	DET
bjmsr-313	124	2	amount	amount	NOUN
bjmsr-313	124	3	of	of	ADP
bjmsr-313	124	4	array	array	NOUN
bjmsr-313	124	5	storage	storage	NOUN
bjmsr-313	124	6	requirement	requirement	NOUN
bjmsr-313	124	7	for	for	ADP
bjmsr-313	124	8	these	these	DET
bjmsr-313	124	9	two	two	NUM
bjmsr-313	124	10	programs	program	NOUN
bjmsr-313	124	11	is	be	AUX
bjmsr-313	124	12	shown	show	VERB
bjmsr-313	124	13	in	in	ADP
bjmsr-313	124	14	table	table	NOUN
bjmsr-313	124	15	5	5	NUM
bjmsr-313	124	16	.	.	PUNCT
bjmsr-313	125	1	this	this	DET
bjmsr-313	125	2	table	table	NOUN
bjmsr-313	125	3	may	may	AUX
bjmsr-313	125	4	be	be	AUX
bjmsr-313	125	5	compared	compare	VERB
bjmsr-313	125	6	with	with	ADP
bjmsr-313	125	7	table	table	NOUN
bjmsr-313	125	8	2	2	NUM
bjmsr-313	125	9	for	for	ADP
bjmsr-313	125	10	other	other	ADJ
bjmsr-313	125	11	algorithms	algorithm	NOUN
bjmsr-313	125	12	.	.	PUNCT
bjmsr-313	126	1	none	none	NOUN
bjmsr-313	126	2	of	of	ADP
bjmsr-313	126	3	the	the	DET
bjmsr-313	126	4	programs	program	NOUN
bjmsr-313	126	5	destroys	destroy	VERB
bjmsr-313	126	6	the	the	DET
bjmsr-313	126	7	input	input	NOUN
bjmsr-313	126	8	data	datum	NOUN
bjmsr-313	126	9	.	.	PUNCT
bjmsr-313	127	1	both	both	DET
bjmsr-313	127	2	programs	program	NOUN
bjmsr-313	127	3	have	have	AUX
bjmsr-313	127	4	been	be	AUX
bjmsr-313	127	5	coded	code	VERB
bjmsr-313	127	6	in	in	ADP
bjmsr-313	127	7	single	single	ADJ
bjmsr-313	127	8	precision	precision	NOUN
bjmsr-313	127	9	.	.	PUNCT
bjmsr-313	128	1	table	table	NOUN
bjmsr-313	128	2	6	6	NUM
bjmsr-313	128	3	shows	show	VERB
bjmsr-313	128	4	the	the	DET
bjmsr-313	128	5	results	result	NOUN
bjmsr-313	128	6	of	of	ADP
bjmsr-313	128	7	the	the	DET
bjmsr-313	128	8	experiments	experiment	NOUN
bjmsr-313	128	9	for	for	ADP
bjmsr-313	128	10	simple	simple	ADJ
bjmsr-313	128	11	linear	linear	PROPN
bjmsr-313	128	12	l1	l1	PROPN
bjmsr-313	128	13	norm	norm	NOUN
bjmsr-313	128	14	regression	regression	PROPN
bjmsr-313	128	15	.	.	PUNCT
bjmsr-313	129	1	the	the	DET
bjmsr-313	129	2	values	value	NOUN
bjmsr-313	129	3	reported	report	VERB
bjmsr-313	129	4	in	in	ADP
bjmsr-313	129	5	the	the	DET
bjmsr-313	129	6	cells	cell	NOUN
bjmsr-313	129	7	of	of	ADP
bjmsr-313	129	8	the	the	DET
bjmsr-313	129	9	table	table	NOUN
bjmsr-313	129	10	are	be	AUX
bjmsr-313	129	11	the	the	DET
bjmsr-313	129	12	averages	average	NOUN
bjmsr-313	129	13	of	of	ADP
bjmsr-313	129	14	ten	ten	NUM
bjmsr-313	129	15	replications	replication	NOUN
bjmsr-313	129	16	cpu	cpu	VERB
bjmsr-313	129	17	times	time	NOUN
bjmsr-313	129	18	in	in	ADP
bjmsr-313	129	19	seconds	second	NOUN
bjmsr-313	129	20	with	with	ADP
bjmsr-313	129	21	different	different	ADJ
bjmsr-313	129	22	random	random	ADJ
bjmsr-313	129	23	samples	sample	NOUN
bjmsr-313	129	24	.	.	PUNCT
bjmsr-313	130	1	the	the	DET
bjmsr-313	130	2	values	value	NOUN
bjmsr-313	130	3	in	in	ADP
bjmsr-313	130	4	the	the	DET
bjmsr-313	130	5	parentheses	parenthesis	NOUN
bjmsr-313	130	6	are	be	AUX
bjmsr-313	130	7	the	the	DET
bjmsr-313	130	8	corresponding	corresponding	ADJ
bjmsr-313	130	9	minimum	minimum	ADJ
bjmsr-313	130	10	and	and	CCONJ
bjmsr-313	130	11	maximum	maximum	ADJ
bjmsr-313	130	12	cpu	cpu	NOUN
bjmsr-313	130	13	times	time	NOUN
bjmsr-313	130	14	of	of	ADP
bjmsr-313	130	15	the	the	DET
bjmsr-313	130	16	ten	ten	NUM
bjmsr-313	130	17	runs	run	NOUN
bjmsr-313	130	18	.	.	PUNCT
bjmsr-313	131	1	both	both	DET
bjmsr-313	131	2	algorithms	algorithm	NOUN
bjmsr-313	131	3	converged	converge	VERB
bjmsr-313	131	4	and	and	CCONJ
bjmsr-313	131	5	gave	give	VERB
bjmsr-313	131	6	accurate	accurate	ADJ
bjmsr-313	131	7	results	result	NOUN
bjmsr-313	131	8	for	for	ADP
bjmsr-313	131	9	all	all	PRON
bjmsr-313	131	10	of	of	ADP
bjmsr-313	131	11	the	the	DET
bjmsr-313	131	12	experiments	experiment	NOUN
bjmsr-313	131	13	.	.	PUNCT
bjmsr-313	132	1	as	as	SCONJ
bjmsr-313	132	2	it	it	PRON
bjmsr-313	132	3	is	be	AUX
bjmsr-313	132	4	clear	clear	ADJ
bjmsr-313	132	5	from	from	ADP
bjmsr-313	132	6	table	table	NOUN
bjmsr-313	132	7	6	6	NUM
bjmsr-313	132	8	in	in	ADP
bjmsr-313	132	9	small	small	ADJ
bjmsr-313	132	10	samples	sample	NOUN
bjmsr-313	132	11	,	,	PUNCT
bjmsr-313	132	12	the	the	DET
bjmsr-313	132	13	computation	computation	NOUN
bjmsr-313	132	14	times	time	NOUN
bjmsr-313	132	15	are	be	AUX
bjmsr-313	132	16	not	not	PART
bjmsr-313	132	17	very	very	ADV
bjmsr-313	132	18	different	different	ADJ
bjmsr-313	132	19	,	,	PUNCT
bjmsr-313	132	20	though	though	SCONJ
bjmsr-313	132	21	algorithm	algorithm	NOUN
bjmsr-313	132	22	2	2	NUM
bjmsr-313	132	23	is	be	AUX
bjmsr-313	132	24	faster	fast	ADJ
bjmsr-313	132	25	.	.	PUNCT
bjmsr-313	133	1	in	in	ADP
bjmsr-313	133	2	medium	medium	ADJ
bjmsr-313	133	3	samples	sample	NOUN
bjmsr-313	133	4	,	,	PUNCT
bjmsr-313	133	5	this	this	DET
bjmsr-313	133	6	difference	difference	NOUN
bjmsr-313	133	7	becomes	become	VERB
bjmsr-313	133	8	significant	significant	ADJ
bjmsr-313	133	9	,	,	PUNCT
bjmsr-313	133	10	and	and	CCONJ
bjmsr-313	133	11	in	in	ADP
bjmsr-313	133	12	larger	large	ADJ
bjmsr-313	133	13	samples	sample	NOUN
bjmsr-313	133	14	,	,	PUNCT
bjmsr-313	133	15	algorithm	algorithm	NOUN
bjmsr-313	133	16	2	2	NUM
bjmsr-313	133	17	becomes	become	VERB
bjmsr-313	133	18	strongly	strongly	ADV
bjmsr-313	133	19	superior	superior	ADJ
bjmsr-313	133	20	to	to	ADP
bjmsr-313	133	21	that	that	PRON
bjmsr-313	133	22	of	of	ADP
bjmsr-313	133	23	josvanger	josvanger	NOUN
bjmsr-313	133	24	and	and	CCONJ
bjmsr-313	133	25	sposito	sposito	X
bjmsr-313	133	26	(	(	PUNCT
bjmsr-313	133	27	1983	1983	NUM
bjmsr-313	133	28	)	)	PUNCT
bjmsr-313	133	29	.	.	PUNCT
bjmsr-313	134	1	thus	thus	ADV
bjmsr-313	134	2	it	it	PRON
bjmsr-313	134	3	can	can	AUX
bjmsr-313	134	4	be	be	AUX
bjmsr-313	134	5	concluded	conclude	VERB
bjmsr-313	134	6	that	that	SCONJ
bjmsr-313	134	7	algorithm	algorithm	NOUN
bjmsr-313	134	8	2	2	NUM
bjmsr-313	134	9	performs	perform	VERB
bjmsr-313	134	10	better	well	ADJ
bjmsr-313	134	11	than	than	ADP
bjmsr-313	134	12	the	the	DET
bjmsr-313	134	13	other	other	ADJ
bjmsr-313	134	14	algorithms	algorithm	NOUN
bjmsr-313	134	15	and	and	CCONJ
bjmsr-313	134	16	may	may	AUX
bjmsr-313	134	17	be	be	AUX
bjmsr-313	134	18	used	use	VERB
bjmsr-313	134	19	for	for	ADP
bjmsr-313	134	20	applied	applied	ADJ
bjmsr-313	134	21	work	work	NOUN
bjmsr-313	134	22	to	to	PART
bjmsr-313	134	23	achieve	achieve	VERB
bjmsr-313	134	24	more	more	ADJ
bjmsr-313	134	25	efficiency	efficiency	NOUN
bjmsr-313	134	26	.	.	PUNCT
bjmsr-313	135	1	table	table	NOUN
bjmsr-313	135	2	6	6	NUM
bjmsr-313	135	3	.	.	PUNCT
bjmsr-313	136	1	cpu	cpu	NOUN
bjmsr-313	136	2	times	time	NOUN
bjmsr-313	136	3	for	for	ADP
bjmsr-313	136	4	simple	simple	ADJ
bjmsr-313	136	5	model	model	NOUN
bjmsr-313	136	6	l1	l1	PROPN
bjmsr-313	136	7	norm	norm	NOUN
bjmsr-313	136	8	selected	select	VERB
bjmsr-313	136	9	algorithms	algorithm	NOUN
bjmsr-313	136	10	n	n	PRON
bjmsr-313	136	11	js	js	PROPN
bjmsr-313	136	12	b(alg.2	b(alg.2	NOUN
bjmsr-313	136	13	)	)	PUNCT
bjmsr-313	136	14	20	20	NUM
bjmsr-313	136	15	0.096	0.096	NUM
bjmsr-313	136	16	0.094	0.094	NUM
bjmsr-313	136	17	(	(	PUNCT
bjmsr-313	136	18	0.09,0.10	0.09,0.10	NOUN
bjmsr-313	136	19	)	)	PUNCT
bjmsr-313	136	20	(	(	PUNCT
bjmsr-313	136	21	0.09,0.10	0.09,0.10	NOUN
bjmsr-313	136	22	)	)	PUNCT
bjmsr-313	136	23	50	50	NUM
bjmsr-313	136	24	0.109	0.109	NUM
bjmsr-313	136	25	0.106	0.106	NUM
bjmsr-313	136	26	(	(	PUNCT
bjmsr-313	136	27	0.10,0.11	0.10,0.11	NUM
bjmsr-313	136	28	)	)	PUNCT
bjmsr-313	136	29	(	(	PUNCT
bjmsr-313	136	30	0.10,0.11	0.10,0.11	NOUN
bjmsr-313	136	31	)	)	PUNCT
bjmsr-313	136	32	100	100	NUM
bjmsr-313	136	33	0.141	0.141	NUM
bjmsr-313	136	34	0.132	0.132	NUM
bjmsr-313	136	35	(	(	PUNCT
bjmsr-313	136	36	0.13,0.16	0.13,0.16	NUM
bjmsr-313	136	37	)	)	PUNCT
bjmsr-313	136	38	(	(	PUNCT
bjmsr-313	136	39	0.12,0.14	0.12,0.14	NOUN
bjmsr-313	136	40	)	)	PUNCT
bjmsr-313	136	41	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	PROPN
bjmsr-313	137	1	bangladesh	bangladesh	PROPN
bjmsr-313	137	2	journal	journal	PROPN
bjmsr-313	137	3	of	of	ADP
bjmsr-313	137	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	137	5	scientific	scientific	ADJ
bjmsr-313	137	6	research	research	NOUN
bjmsr-313	137	7	vol	vol	NOUN
bjmsr-313	137	8	.	.	PROPN
bjmsr-313	138	1	1	1	NUM
bjmsr-313	138	2	,	,	PUNCT
bjmsr-313	138	3	no	no	INTJ
bjmsr-313	138	4	.	.	NOUN
bjmsr-313	138	5	1	1	NUM
bjmsr-313	138	6	;	;	PUNCT
bjmsr-313	138	7	2019	2019	NUM
bjmsr-313	138	8	35	35	NUM
bjmsr-313	138	9	500	500	NUM
bjmsr-313	138	10	0.469	0.469	NUM
bjmsr-313	138	11	0.360	0.360	NUM
bjmsr-313	138	12	(	(	PUNCT
bjmsr-313	138	13	0.35,0.59	0.35,0.59	NUM
bjmsr-313	138	14	)	)	PUNCT
bjmsr-313	138	15	(	(	PUNCT
bjmsr-313	138	16	0.33,0.38	0.33,0.38	NOUN
bjmsr-313	138	17	)	)	PUNCT
bjmsr-313	138	18	1000	1000	NUM
bjmsr-313	138	19	0.997	0.997	NUM
bjmsr-313	138	20	0.645	0.645	NUM
bjmsr-313	138	21	(	(	PUNCT
bjmsr-313	138	22	0.66,1.31	0.66,1.31	NUM
bjmsr-313	138	23	)	)	PUNCT
bjmsr-313	138	24	(	(	PUNCT
bjmsr-313	138	25	0.61,0.69	0.61,0.69	NOUN
bjmsr-313	138	26	)	)	PUNCT
bjmsr-313	138	27	2000	2000	NUM
bjmsr-313	138	28	2.770	2.770	NUM
bjmsr-313	138	29	1.194	1.194	NUM
bjmsr-313	138	30	(	(	PUNCT
bjmsr-313	138	31	1.36,4.27	1.36,4.27	NUM
bjmsr-313	138	32	)	)	PUNCT
bjmsr-313	138	33	(	(	PUNCT
bjmsr-313	138	34	0.98,1.28	0.98,1.28	NOUN
bjmsr-313	138	35	)	)	PUNCT
bjmsr-313	138	36	5000	5000	NUM
bjmsr-313	138	37	11.554	11.554	NUM
bjmsr-313	138	38	2.848	2.848	NUM
bjmsr-313	138	39	(	(	PUNCT
bjmsr-313	138	40	4.58,18.91	4.58,18.91	NUM
bjmsr-313	138	41	)	)	PUNCT
bjmsr-313	138	42	(	(	PUNCT
bjmsr-313	138	43	2.71,3.15	2.71,3.15	NOUN
bjmsr-313	138	44	)	)	PUNCT
bjmsr-313	138	45	10000	10000	NUM
bjmsr-313	138	46	42.406	42.406	NUM
bjmsr-313	138	47	5.823	5.823	NUM
bjmsr-313	138	48	(	(	PUNCT
bjmsr-313	138	49	9.67,60.88	9.67,60.88	NUM
bjmsr-313	138	50	)	)	PUNCT
bjmsr-313	138	51	(	(	PUNCT
bjmsr-313	138	52	5.16,6.87	5.16,6.87	NUM
bjmsr-313	138	53	)	)	PUNCT
bjmsr-313	138	54	see	see	VERB
bjmsr-313	138	55	table	table	NOUN
bjmsr-313	138	56	5	5	NUM
bjmsr-313	138	57	for	for	ADP
bjmsr-313	138	58	abbreviations	abbreviation	NOUN
bjmsr-313	138	59	.	.	PUNCT
bjmsr-313	139	1	4	4	X
bjmsr-313	139	2	.	.	X
bjmsr-313	139	3	comparison	comparison	NOUN
bjmsr-313	139	4	of	of	ADP
bjmsr-313	139	5	the	the	DET
bjmsr-313	139	6	multiple	multiple	ADJ
bjmsr-313	139	7	regression	regression	NOUN
bjmsr-313	139	8	l1	l1	PROPN
bjmsr-313	139	9	norm	norm	NOUN
bjmsr-313	139	10	algorithms	algorithm	NOUN
bjmsr-313	139	11	to	to	PART
bjmsr-313	139	12	compare	compare	VERB
bjmsr-313	139	13	algorithm	algorithm	NOUN
bjmsr-313	139	14	4	4	NUM
bjmsr-313	139	15	of	of	ADP
bjmsr-313	139	16	bidabad	bidabad	NOUN
bjmsr-313	139	17	(	(	PUNCT
bjmsr-313	139	18	1989a	1989a	NUM
bjmsr-313	139	19	,	,	PUNCT
bjmsr-313	139	20	b	b	NOUN
bjmsr-313	139	21	)	)	PUNCT
bjmsr-313	139	22	with	with	ADP
bjmsr-313	139	23	other	other	ADJ
bjmsr-313	139	24	algorithms	algorithm	NOUN
bjmsr-313	139	25	,	,	PUNCT
bjmsr-313	139	26	experiments	experiment	NOUN
bjmsr-313	139	27	have	have	AUX
bjmsr-313	139	28	been	be	AUX
bjmsr-313	139	29	limited	limit	VERB
bjmsr-313	139	30	to	to	ADP
bjmsr-313	139	31	three	three	NUM
bjmsr-313	139	32	algorithms	algorithm	NOUN
bjmsr-313	139	33	which	which	PRON
bjmsr-313	139	34	are	be	AUX
bjmsr-313	139	35	more	more	ADV
bjmsr-313	139	36	accurate	accurate	ADJ
bjmsr-313	139	37	and	and	CCONJ
bjmsr-313	139	38	efficient	efficient	ADJ
bjmsr-313	139	39	among	among	ADP
bjmsr-313	139	40	the	the	DET
bjmsr-313	139	41	others	other	NOUN
bjmsr-313	139	42	.	.	PUNCT
bjmsr-313	140	1	these	these	PRON
bjmsr-313	140	2	are	be	AUX
bjmsr-313	140	3	algorithms	algorithm	NOUN
bjmsr-313	140	4	of	of	ADP
bjmsr-313	140	5	barrodale	barrodale	NOUN
bjmsr-313	140	6	and	and	CCONJ
bjmsr-313	140	7	roberts	roberts	PROPN
bjmsr-313	140	8	(	(	PUNCT
bjmsr-313	140	9	1973,74	1973,74	NUM
bjmsr-313	140	10	)	)	PUNCT
bjmsr-313	140	11	(	(	PUNCT
bjmsr-313	140	12	br	br	NOUN
bjmsr-313	140	13	)	)	PUNCT
bjmsr-313	140	14	,	,	PUNCT
bjmsr-313	140	15	bloomfield	bloomfield	PROPN
bjmsr-313	140	16	and	and	CCONJ
bjmsr-313	140	17	steiger	steiger	PROPN
bjmsr-313	140	18	(	(	PUNCT
bjmsr-313	140	19	1980	1980	NUM
bjmsr-313	140	20	)	)	PUNCT
bjmsr-313	140	21	(	(	PUNCT
bjmsr-313	140	22	bs	bs	NOUN
bjmsr-313	140	23	)	)	PUNCT
bjmsr-313	140	24	,	,	PUNCT
bjmsr-313	140	25	armstrong	armstrong	PROPN
bjmsr-313	140	26	and	and	CCONJ
bjmsr-313	140	27	frome	frome	PROPN
bjmsr-313	140	28	and	and	CCONJ
bjmsr-313	140	29	kung	kung	PROPN
bjmsr-313	140	30	(	(	PUNCT
bjmsr-313	140	31	1979	1979	NUM
bjmsr-313	140	32	)	)	PUNCT
bjmsr-313	140	33	(	(	PUNCT
bjmsr-313	140	34	afk	afk	PROPN
bjmsr-313	140	35	)	)	PUNCT
bjmsr-313	140	36	.	.	PUNCT
bjmsr-313	141	1	although	although	SCONJ
bjmsr-313	141	2	,	,	PUNCT
bjmsr-313	141	3	bs	bs	PROPN
bjmsr-313	141	4	and	and	CCONJ
bjmsr-313	141	5	afk	afk	PROPN
bjmsr-313	141	6	algorithms	algorithm	NOUN
bjmsr-313	141	7	are	be	AUX
bjmsr-313	141	8	faster	fast	ADJ
bjmsr-313	141	9	than	than	ADP
bjmsr-313	141	10	br	br	PROPN
bjmsr-313	141	11	,	,	PUNCT
bjmsr-313	141	12	the	the	DET
bjmsr-313	141	13	reason	reason	NOUN
bjmsr-313	141	14	to	to	PART
bjmsr-313	141	15	select	select	VERB
bjmsr-313	141	16	br	br	NOUN
bjmsr-313	141	17	algorithm	algorithm	NOUN
bjmsr-313	141	18	was	be	AUX
bjmsr-313	141	19	that	that	SCONJ
bjmsr-313	141	20	the	the	DET
bjmsr-313	141	21	other	other	ADJ
bjmsr-313	141	22	two	two	NUM
bjmsr-313	141	23	algorithms	algorithm	NOUN
bjmsr-313	141	24	failed	fail	VERB
bjmsr-313	141	25	to	to	PART
bjmsr-313	141	26	produce	produce	VERB
bjmsr-313	141	27	correct	correct	ADJ
bjmsr-313	141	28	answers	answer	NOUN
bjmsr-313	141	29	for	for	ADP
bjmsr-313	141	30	larger	large	ADJ
bjmsr-313	141	31	samples	sample	NOUN
bjmsr-313	141	32	(	(	PUNCT
bjmsr-313	141	33	see	see	VERB
bjmsr-313	141	34	,	,	PUNCT
bjmsr-313	141	35	gentle	gentle	ADJ
bjmsr-313	141	36	and	and	CCONJ
bjmsr-313	141	37	narula	narula	NOUN
bjmsr-313	141	38	and	and	CCONJ
bjmsr-313	141	39	sposito	sposito	X
bjmsr-313	141	40	(	(	PUNCT
bjmsr-313	141	41	1987	1987	NUM
bjmsr-313	141	42	)	)	PUNCT
bjmsr-313	141	43	)	)	PUNCT
bjmsr-313	141	44	.	.	PUNCT
bjmsr-313	142	1	the	the	DET
bjmsr-313	142	2	amount	amount	NOUN
bjmsr-313	142	3	of	of	ADP
bjmsr-313	142	4	array	array	NOUN
bjmsr-313	142	5	storage	storage	NOUN
bjmsr-313	142	6	requirement	requirement	NOUN
bjmsr-313	142	7	for	for	ADP
bjmsr-313	142	8	these	these	DET
bjmsr-313	142	9	programs	program	NOUN
bjmsr-313	142	10	is	be	AUX
bjmsr-313	142	11	indicated	indicate	VERB
bjmsr-313	142	12	in	in	ADP
bjmsr-313	142	13	table	table	NOUN
bjmsr-313	142	14	7	7	NUM
bjmsr-313	142	15	.	.	PUNCT
bjmsr-313	143	1	this	this	DET
bjmsr-313	143	2	table	table	NOUN
bjmsr-313	143	3	may	may	AUX
bjmsr-313	143	4	be	be	AUX
bjmsr-313	143	5	compared	compare	VERB
bjmsr-313	143	6	with	with	ADP
bjmsr-313	143	7	table	table	NOUN
bjmsr-313	143	8	2	2	NUM
bjmsr-313	143	9	for	for	ADP
bjmsr-313	143	10	other	other	ADJ
bjmsr-313	143	11	algorithms	algorithm	NOUN
bjmsr-313	143	12	.	.	PUNCT
bjmsr-313	144	1	all	all	DET
bjmsr-313	144	2	programs	program	NOUN
bjmsr-313	144	3	have	have	AUX
bjmsr-313	144	4	been	be	AUX
bjmsr-313	144	5	coded	code	VERB
bjmsr-313	144	6	in	in	ADP
bjmsr-313	144	7	single	single	ADJ
bjmsr-313	144	8	precision	precision	NOUN
bjmsr-313	144	9	.	.	PUNCT
bjmsr-313	145	1	none	none	NOUN
bjmsr-313	145	2	of	of	ADP
bjmsr-313	145	3	the	the	DET
bjmsr-313	145	4	programs	program	NOUN
bjmsr-313	145	5	destroys	destroy	VERB
bjmsr-313	145	6	input	input	NOUN
bjmsr-313	145	7	data	datum	NOUN
bjmsr-313	145	8	.	.	PUNCT
bjmsr-313	146	1	table	table	NOUN
bjmsr-313	146	2	7	7	NUM
bjmsr-313	146	3	.	.	PUNCT
bjmsr-313	147	1	the	the	DET
bjmsr-313	147	2	array	array	NOUN
bjmsr-313	147	3	storage	storage	NOUN
bjmsr-313	147	4	requirement	requirement	NOUN
bjmsr-313	147	5	for	for	ADP
bjmsr-313	147	6	multiple	multiple	ADJ
bjmsr-313	147	7	model	model	NOUN
bjmsr-313	147	8	selected	select	VERB
bjmsr-313	147	9	algorithms	algorithms	NOUN
bjmsr-313	147	10	algorithm	algorithm	NOUN
bjmsr-313	147	11	program	program	NOUN
bjmsr-313	147	12	name	name	NOUN
bjmsr-313	147	13	storage	storage	NOUN
bjmsr-313	147	14	requirement	requirement	NOUN
bjmsr-313	147	15	stopping	stop	VERB
bjmsr-313	147	16	constant	constant	ADJ
bjmsr-313	147	17	afk	afk	NOUN
bjmsr-313	147	18	afkl1	afkl1	NOUN
bjmsr-313	147	19	6n+m(n+3m/2	6n+m(n+3m/2	NOUN
bjmsr-313	147	20	+	+	NOUN
bjmsr-313	147	21	15/2	15/2	NUM
bjmsr-313	147	22	)	)	PUNCT
bjmsr-313	147	23	acu	acu	NOUN
bjmsr-313	148	1	=	=	SYM
bjmsr-313	148	2	1.0e-6	1.0e-6	NUM
bjmsr-313	148	3	big	big	ADJ
bjmsr-313	148	4	=	=	PUNCT
bjmsr-313	148	5	1.0e+15	1.0e+15	NUM
bjmsr-313	148	6	br	br	PROPN
bjmsr-313	148	7	l1bar	l1bar	PROPN
bjmsr-313	148	8	3n+m(n+5)+4	3n+m(n+5)+4	NUM
bjmsr-313	148	9	big	big	ADJ
bjmsr-313	148	10	=	=	NOUN
bjmsr-313	148	11	1.0e+75	1.0e+75	NOUN
bjmsr-313	148	12	bs	bs	NOUN
bjmsr-313	148	13	blod1	blod1	PROPN
bjmsr-313	148	14	4n+m(2n+4	4n+m(2n+4	X
bjmsr-313	148	15	)	)	PUNCT
bjmsr-313	149	1	------------	------------	PUNCT
bjmsr-313	150	1	b	b	X
bjmsr-313	150	2	(	(	PUNCT
bjmsr-313	150	3	alg.4	alg.4	PROPN
bjmsr-313	150	4	)	)	PUNCT
bjmsr-313	150	5	bl1	bl1	NOUN
bjmsr-313	150	6	2n+m(3n+m+2)-2	2n+m(3n+m+2)-2	PROPN
bjmsr-313	150	7	------------	------------	PUNCT
bjmsr-313	150	8	afk	afk	PROPN
bjmsr-313	150	9	≡	≡	PROPN
bjmsr-313	150	10	armstrong	armstrong	PROPN
bjmsr-313	150	11	and	and	CCONJ
bjmsr-313	150	12	frome	frome	PROPN
bjmsr-313	150	13	and	and	CCONJ
bjmsr-313	150	14	kung	kung	PROPN
bjmsr-313	150	15	(	(	PUNCT
bjmsr-313	150	16	1970	1970	NUM
bjmsr-313	150	17	)	)	PUNCT
bjmsr-313	150	18	.	.	PUNCT
bjmsr-313	151	1	br	br	PROPN
bjmsr-313	151	2	≡	≡	PROPN
bjmsr-313	151	3	barrodale	barrodale	NOUN
bjmsr-313	151	4	and	and	CCONJ
bjmsr-313	151	5	roberts	roberts	PROPN
bjmsr-313	151	6	(	(	PUNCT
bjmsr-313	151	7	1973,74	1973,74	NUM
bjmsr-313	151	8	)	)	PUNCT
bjmsr-313	151	9	.	.	PUNCT
bjmsr-313	152	1	bs	bs	PROPN
bjmsr-313	152	2	≡	≡	PROPN
bjmsr-313	152	3	bloomfield	bloomfield	PROPN
bjmsr-313	152	4	and	and	CCONJ
bjmsr-313	152	5	steiger	steiger	PROPN
bjmsr-313	152	6	(	(	PUNCT
bjmsr-313	152	7	1980	1980	NUM
bjmsr-313	152	8	)	)	PUNCT
bjmsr-313	152	9	.	.	PUNCT
bjmsr-313	153	1	b(alg.4	b(alg.4	ADJ
bjmsr-313	153	2	)	)	PUNCT
bjmsr-313	153	3	≡	≡	PROPN
bjmsr-313	153	4	bidabad	bidabad	NOUN
bjmsr-313	153	5	(	(	PUNCT
bjmsr-313	153	6	1989a	1989a	NUM
bjmsr-313	153	7	,	,	PUNCT
bjmsr-313	153	8	b	b	X
bjmsr-313	153	9	)	)	PUNCT
bjmsr-313	153	10	algorithm	algorithm	NOUN
bjmsr-313	153	11	4	4	NUM
bjmsr-313	153	12	.	.	PUNCT
bjmsr-313	153	13	n	n	NUM
bjmsr-313	153	14	≡	≡	ADJ
bjmsr-313	153	15	number	number	NOUN
bjmsr-313	153	16	of	of	ADP
bjmsr-313	153	17	observations	observation	NOUN
bjmsr-313	153	18	.	.	PUNCT
bjmsr-313	154	1	m	m	VERB
bjmsr-313	154	2	≡	≡	ADJ
bjmsr-313	154	3	number	number	NOUN
bjmsr-313	154	4	of	of	ADP
bjmsr-313	154	5	parameters	parameter	NOUN
bjmsr-313	154	6	.	.	PUNCT
bjmsr-313	155	1	tables	table	NOUN
bjmsr-313	155	2	8	8	NUM
bjmsr-313	155	3	through	through	ADP
bjmsr-313	155	4	12	12	NUM
bjmsr-313	155	5	report	report	NOUN
bjmsr-313	155	6	the	the	DET
bjmsr-313	155	7	averages	average	NOUN
bjmsr-313	155	8	of	of	ADP
bjmsr-313	155	9	five	five	NUM
bjmsr-313	155	10	runs	run	NOUN
bjmsr-313	155	11	cpu	cpu	VERB
bjmsr-313	155	12	times	time	NOUN
bjmsr-313	155	13	for	for	ADP
bjmsr-313	155	14	different	different	ADJ
bjmsr-313	155	15	sample	sample	NOUN
bjmsr-313	155	16	sizes	size	NOUN
bjmsr-313	155	17	and	and	CCONJ
bjmsr-313	155	18	parameters	parameter	NOUN
bjmsr-313	155	19	.	.	PUNCT
bjmsr-313	156	1	the	the	DET
bjmsr-313	156	2	values	value	NOUN
bjmsr-313	156	3	in	in	ADP
bjmsr-313	156	4	the	the	DET
bjmsr-313	156	5	parentheses	parenthesis	NOUN
bjmsr-313	156	6	are	be	AUX
bjmsr-313	156	7	minimum	minimum	ADJ
bjmsr-313	156	8	and	and	CCONJ
bjmsr-313	156	9	maximum	maximum	ADJ
bjmsr-313	156	10	cpu	cpu	NOUN
bjmsr-313	156	11	times	time	NOUN
bjmsr-313	156	12	of	of	ADP
bjmsr-313	156	13	replications	replication	NOUN
bjmsr-313	156	14	.	.	PUNCT
bjmsr-313	157	1	for	for	ADP
bjmsr-313	157	2	the	the	DET
bjmsr-313	157	3	three	three	NUM
bjmsr-313	157	4	parameters	parameter	NOUN
bjmsr-313	157	5	model	model	NOUN
bjmsr-313	157	6	,	,	PUNCT
bjmsr-313	157	7	as	as	SCONJ
bjmsr-313	157	8	it	it	PRON
bjmsr-313	157	9	can	can	AUX
bjmsr-313	157	10	be	be	AUX
bjmsr-313	157	11	seen	see	VERB
bjmsr-313	157	12	from	from	ADP
bjmsr-313	157	13	table	table	NOUN
bjmsr-313	157	14	8	8	NUM
bjmsr-313	157	15	,	,	PUNCT
bjmsr-313	157	16	the	the	DET
bjmsr-313	157	17	algorithm	algorithm	NOUN
bjmsr-313	157	18	4	4	NUM
bjmsr-313	157	19	is	be	AUX
bjmsr-313	157	20	superior	superior	ADJ
bjmsr-313	157	21	to	to	ADP
bjmsr-313	157	22	other	other	ADJ
bjmsr-313	157	23	algorithms	algorithm	NOUN
bjmsr-313	157	24	.	.	PUNCT
bjmsr-313	158	1	in	in	ADP
bjmsr-313	158	2	this	this	DET
bjmsr-313	158	3	case	case	NOUN
bjmsr-313	158	4	,	,	PUNCT
bjmsr-313	158	5	the	the	DET
bjmsr-313	158	6	bs	bs	NOUN
bjmsr-313	158	7	,	,	PUNCT
bjmsr-313	158	8	afk	afk	PROPN
bjmsr-313	158	9	,	,	PUNCT
bjmsr-313	158	10	and	and	CCONJ
bjmsr-313	158	11	br	br	PRON
bjmsr-313	158	12	possess	possess	VERB
bjmsr-313	158	13	less	less	ADJ
bjmsr-313	158	14	efficiency	efficiency	NOUN
bjmsr-313	158	15	,	,	PUNCT
bjmsr-313	158	16	respectively	respectively	ADV
bjmsr-313	158	17	.	.	PUNCT
bjmsr-313	159	1	when	when	SCONJ
bjmsr-313	159	2	the	the	DET
bjmsr-313	159	3	sample	sample	NOUN
bjmsr-313	159	4	size	size	NOUN
bjmsr-313	159	5	is	be	AUX
bjmsr-313	159	6	small	small	ADJ
bjmsr-313	159	7	,	,	PUNCT
bjmsr-313	159	8	the	the	DET
bjmsr-313	159	9	difference	difference	NOUN
bjmsr-313	159	10	is	be	AUX
bjmsr-313	159	11	not	not	PART
bjmsr-313	159	12	large	large	ADJ
bjmsr-313	159	13	.	.	PUNCT
bjmsr-313	160	1	in	in	ADP
bjmsr-313	160	2	medium	medium	ADJ
bjmsr-313	160	3	sample	sample	NOUN
bjmsr-313	160	4	sizes	size	NOUN
bjmsr-313	160	5	,	,	PUNCT
bjmsr-313	160	6	this	this	DET
bjmsr-313	160	7	difference	difference	NOUN
bjmsr-313	160	8	is	be	AUX
bjmsr-313	160	9	going	go	VERB
bjmsr-313	160	10	to	to	PART
bjmsr-313	160	11	increase	increase	VERB
bjmsr-313	160	12	.	.	PUNCT
bjmsr-313	161	1	in	in	ADP
bjmsr-313	161	2	larger	large	ADJ
bjmsr-313	161	3	size	size	NOUN
bjmsr-313	161	4	experiments	experiment	NOUN
bjmsr-313	161	5	,	,	PUNCT
bjmsr-313	161	6	algorithm	algorithm	NOUN
bjmsr-313	161	7	4	4	NUM
bjmsr-313	161	8	and	and	CCONJ
bjmsr-313	161	9	bs	bs	PROPN
bjmsr-313	161	10	have	have	VERB
bjmsr-313	161	11	a	a	DET
bjmsr-313	161	12	small	small	ADJ
bjmsr-313	161	13	difference	difference	NOUN
bjmsr-313	161	14	,	,	PUNCT
bjmsr-313	161	15	but	but	CCONJ
bjmsr-313	161	16	br	br	NOUN
bjmsr-313	161	17	and	and	CCONJ
bjmsr-313	161	18	afk	afk	NOUN
bjmsr-313	161	19	are	be	AUX
bjmsr-313	161	20	far	far	ADV
bjmsr-313	161	21	from	from	ADP
bjmsr-313	161	22	them	they	PRON
bjmsr-313	161	23	.	.	PUNCT
bjmsr-313	162	1	in	in	ADP
bjmsr-313	162	2	all	all	DET
bjmsr-313	162	3	cases	case	NOUN
bjmsr-313	162	4	,	,	PUNCT
bjmsr-313	162	5	algorithm	algorithm	NOUN
bjmsr-313	162	6	4	4	NUM
bjmsr-313	162	7	is	be	AUX
bjmsr-313	162	8	faster	fast	ADJ
bjmsr-313	162	9	than	than	ADP
bjmsr-313	162	10	the	the	DET
bjmsr-313	162	11	other	other	ADJ
bjmsr-313	162	12	algorithms	algorithm	NOUN
bjmsr-313	162	13	.	.	PUNCT
bjmsr-313	163	1	table	table	NOUN
bjmsr-313	163	2	8	8	NUM
bjmsr-313	163	3	.	.	PUNCT
bjmsr-313	164	1	cpu	cpu	NOUN
bjmsr-313	164	2	times	time	NOUN
bjmsr-313	164	3	for	for	ADP
bjmsr-313	164	4	multiple	multiple	ADJ
bjmsr-313	164	5	model	model	NOUN
bjmsr-313	164	6	(	(	PUNCT
bjmsr-313	164	7	m=3	m=3	PROPN
bjmsr-313	164	8	)	)	PUNCT
bjmsr-313	164	9	selected	select	VERB
bjmsr-313	164	10	algorithms	algorithm	NOUN
bjmsr-313	164	11	n	n	PRON
bjmsr-313	164	12	b(alg.4	b(alg.4	NOUN
bjmsr-313	164	13	)	)	PUNCT
bjmsr-313	164	14	br	br	NOUN
bjmsr-313	165	1	bs	bs	PROPN
bjmsr-313	165	2	afk	afk	PROPN
bjmsr-313	165	3	20	20	NUM
bjmsr-313	165	4	0.098	0.098	NUM
bjmsr-313	165	5	0.110	0.110	NUM
bjmsr-313	165	6	0.104	0.104	NUM
bjmsr-313	165	7	0.112	0.112	NUM
bjmsr-313	165	8	(	(	PUNCT
bjmsr-313	165	9	0.09,0.10	0.09,0.10	NOUN
bjmsr-313	165	10	)	)	PUNCT
bjmsr-313	165	11	(	(	PUNCT
bjmsr-313	165	12	0.11,0.11	0.11,0.11	NOUN
bjmsr-313	165	13	)	)	PUNCT
bjmsr-313	165	14	(	(	PUNCT
bjmsr-313	165	15	0.10,0.11	0.10,0.11	NUM
bjmsr-313	165	16	)	)	PUNCT
bjmsr-313	165	17	(	(	PUNCT
bjmsr-313	165	18	0.11,0.12	0.11,0.12	NOUN
bjmsr-313	165	19	)	)	PUNCT
bjmsr-313	165	20	50	50	NUM
bjmsr-313	165	21	0.144	0.144	NUM
bjmsr-313	165	22	0.148	0.148	NUM
bjmsr-313	165	23	0.146	0.146	NUM
bjmsr-313	165	24	0.146	0.146	NUM
bjmsr-313	165	25	(	(	PUNCT
bjmsr-313	165	26	0.13,0.16	0.13,0.16	NUM
bjmsr-313	165	27	)	)	PUNCT
bjmsr-313	165	28	(	(	PUNCT
bjmsr-313	165	29	0.14,0.16	0.14,0.16	NUM
bjmsr-313	165	30	)	)	PUNCT
bjmsr-313	165	31	(	(	PUNCT
bjmsr-313	165	32	0.13,0.16	0.13,0.16	NUM
bjmsr-313	165	33	)	)	PUNCT
bjmsr-313	165	34	(	(	PUNCT
bjmsr-313	165	35	0.14,0.15	0.14,0.15	NOUN
bjmsr-313	165	36	)	)	PUNCT
bjmsr-313	165	37	100	100	NUM
bjmsr-313	165	38	0.182	0.182	NUM
bjmsr-313	165	39	0.216	0.216	NUM
bjmsr-313	165	40	0.194	0.194	NUM
bjmsr-313	165	41	0.214	0.214	NUM
bjmsr-313	165	42	(	(	PUNCT
bjmsr-313	165	43	0.18,0.19	0.18,0.19	NUM
bjmsr-313	165	44	)	)	PUNCT
bjmsr-313	165	45	(	(	PUNCT
bjmsr-313	165	46	0.20,0.23	0.20,0.23	NOUN
bjmsr-313	165	47	)	)	PUNCT
bjmsr-313	165	48	(	(	PUNCT
bjmsr-313	165	49	0.19,0.20	0.19,0.20	NUM
bjmsr-313	165	50	)	)	PUNCT
bjmsr-313	165	51	(	(	PUNCT
bjmsr-313	165	52	0.20,0.23	0.20,0.23	NOUN
bjmsr-313	165	53	)	)	PUNCT
bjmsr-313	165	54	500	500	NUM
bjmsr-313	165	55	0.698	0.698	NUM
bjmsr-313	165	56	1.116	1.116	NUM
bjmsr-313	165	57	0.810	0.810	NUM
bjmsr-313	165	58	0.986	0.986	NUM
bjmsr-313	165	59	(	(	PUNCT
bjmsr-313	165	60	0.63,0.74	0.63,0.74	NOUN
bjmsr-313	165	61	)	)	PUNCT
bjmsr-313	165	62	(	(	PUNCT
bjmsr-313	165	63	1.07,1.17	1.07,1.17	NUM
bjmsr-313	165	64	)	)	PUNCT
bjmsr-313	165	65	(	(	PUNCT
bjmsr-313	165	66	0.63,1.00	0.63,1.00	NUM
bjmsr-313	165	67	)	)	PUNCT
bjmsr-313	165	68	(	(	PUNCT
bjmsr-313	165	69	0.85,1.11	0.85,1.11	X
bjmsr-313	165	70	)	)	PUNCT
bjmsr-313	165	71	1000	1000	NUM
bjmsr-313	165	72	1.390	1.390	NUM
bjmsr-313	165	73	2.420	2.420	NUM
bjmsr-313	165	74	1.662	1.662	NUM
bjmsr-313	165	75	2.180	2.180	NUM
bjmsr-313	165	76	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	165	77	bangladesh	bangladesh	PROPN
bjmsr-313	165	78	journal	journal	NOUN
bjmsr-313	165	79	of	of	ADP
bjmsr-313	165	80	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	165	81	scientific	scientific	ADJ
bjmsr-313	165	82	research	research	NOUN
bjmsr-313	165	83	vol	vol	NOUN
bjmsr-313	165	84	.	.	PROPN
bjmsr-313	166	1	1	1	NUM
bjmsr-313	166	2	,	,	PUNCT
bjmsr-313	166	3	no	no	INTJ
bjmsr-313	166	4	.	.	NOUN
bjmsr-313	166	5	1	1	NUM
bjmsr-313	166	6	;	;	PUNCT
bjmsr-313	166	7	2019	2019	NUM
bjmsr-313	166	8	36	36	NUM
bjmsr-313	166	9	(	(	PUNCT
bjmsr-313	166	10	1.27,1.53	1.27,1.53	NUM
bjmsr-313	166	11	)	)	PUNCT
bjmsr-313	166	12	(	(	PUNCT
bjmsr-313	166	13	2.16,2.76	2.16,2.76	NUM
bjmsr-313	166	14	)	)	PUNCT
bjmsr-313	166	15	(	(	PUNCT
bjmsr-313	166	16	1.37,2.01	1.37,2.01	NUM
bjmsr-313	166	17	)	)	PUNCT
bjmsr-313	166	18	(	(	PUNCT
bjmsr-313	166	19	2.01,2.36	2.01,2.36	NUM
bjmsr-313	166	20	)	)	PUNCT
bjmsr-313	166	21	2000	2000	NUM
bjmsr-313	166	22	2.812	2.812	NUM
bjmsr-313	166	23	5.884	5.884	NUM
bjmsr-313	166	24	2.932	2.932	NUM
bjmsr-313	166	25	4.800	4.800	NUM
bjmsr-313	166	26	(	(	PUNCT
bjmsr-313	166	27	2.34,2.99	2.34,2.99	NUM
bjmsr-313	166	28	)	)	PUNCT
bjmsr-313	166	29	(	(	PUNCT
bjmsr-313	166	30	4.98,6.63	4.98,6.63	NUM
bjmsr-313	166	31	)	)	PUNCT
bjmsr-313	166	32	(	(	PUNCT
bjmsr-313	166	33	2.81,3.18	2.81,3.18	NUM
bjmsr-313	166	34	)	)	PUNCT
bjmsr-313	166	35	(	(	PUNCT
bjmsr-313	166	36	4.30,5.09	4.30,5.09	NUM
bjmsr-313	166	37	)	)	PUNCT
bjmsr-313	166	38	5000	5000	NUM
bjmsr-313	166	39	7.456	7.456	NUM
bjmsr-313	166	40	25.038	25.038	NUM
bjmsr-313	166	41	7.520	7.520	NUM
bjmsr-313	166	42	20.172	20.172	NUM
bjmsr-313	166	43	(	(	PUNCT
bjmsr-313	166	44	6.82,9.03	6.82,9.03	NOUN
bjmsr-313	166	45	)	)	PUNCT
bjmsr-313	166	46	(	(	PUNCT
bjmsr-313	166	47	22.33,27.54	22.33,27.54	NUM
bjmsr-313	166	48	)	)	PUNCT
bjmsr-313	166	49	(	(	PUNCT
bjmsr-313	166	50	6.16,10.12	6.16,10.12	NUM
bjmsr-313	166	51	(	(	PUNCT
bjmsr-313	166	52	)	)	PUNCT
bjmsr-313	166	53	(	(	PUNCT
bjmsr-313	166	54	16.57,22.33	16.57,22.33	NUM
bjmsr-313	166	55	)	)	PUNCT
bjmsr-313	166	56	10000	10000	NUM
bjmsr-313	167	1	14.330	14.330	NUM
bjmsr-313	167	2	80.008	80.008	NUM
bjmsr-313	167	3	15.434	15.434	NUM
bjmsr-313	167	4	59.634	59.634	NUM
bjmsr-313	167	5	(	(	PUNCT
bjmsr-313	167	6	12.45,16.61	12.45,16.61	NOUN
bjmsr-313	167	7	)	)	PUNCT
bjmsr-313	167	8	(	(	PUNCT
bjmsr-313	167	9	73.16,87.03	73.16,87.03	NOUN
bjmsr-313	167	10	)	)	PUNCT
bjmsr-313	167	11	(	(	PUNCT
bjmsr-313	167	12	12.88,18.12	12.88,18.12	NUM
bjmsr-313	167	13	)	)	PUNCT
bjmsr-313	167	14	(	(	PUNCT
bjmsr-313	167	15	55.60,65.80	55.60,65.80	NOUN
bjmsr-313	167	16	)	)	PUNCT
bjmsr-313	167	17	see	see	VERB
bjmsr-313	167	18	table	table	NOUN
bjmsr-313	167	19	7	7	NUM
bjmsr-313	167	20	for	for	ADP
bjmsr-313	167	21	abbreviations	abbreviation	NOUN
bjmsr-313	167	22	.	.	PUNCT
bjmsr-313	168	1	in	in	ADP
bjmsr-313	168	2	the	the	DET
bjmsr-313	168	3	case	case	NOUN
bjmsr-313	168	4	of	of	ADP
bjmsr-313	168	5	four	four	NUM
bjmsr-313	168	6	parameters	parameter	NOUN
bjmsr-313	168	7	model	model	NOUN
bjmsr-313	168	8	as	as	SCONJ
bjmsr-313	168	9	shown	show	VERB
bjmsr-313	168	10	by	by	ADP
bjmsr-313	168	11	table	table	NOUN
bjmsr-313	168	12	9	9	NUM
bjmsr-313	168	13	,	,	PUNCT
bjmsr-313	168	14	though	though	SCONJ
bjmsr-313	168	15	bs	bs	PROPN
bjmsr-313	168	16	algorithm	algorithm	NOUN
bjmsr-313	168	17	is	be	AUX
bjmsr-313	168	18	competing	compete	VERB
bjmsr-313	168	19	with	with	ADP
bjmsr-313	168	20	algorithm	algorithm	NOUN
bjmsr-313	168	21	4	4	NUM
bjmsr-313	168	22	,	,	PUNCT
bjmsr-313	168	23	this	this	DET
bjmsr-313	168	24	ordering	ordering	NOUN
bjmsr-313	168	25	remains	remain	VERB
bjmsr-313	168	26	unchanged	unchanged	ADJ
bjmsr-313	168	27	,	,	PUNCT
bjmsr-313	168	28	and	and	CCONJ
bjmsr-313	168	29	algorithm	algorithm	NOUN
bjmsr-313	168	30	4	4	NUM
bjmsr-313	168	31	is	be	AUX
bjmsr-313	168	32	again	again	ADV
bjmsr-313	168	33	most	most	ADV
bjmsr-313	168	34	efficient	efficient	ADJ
bjmsr-313	168	35	.	.	PUNCT
bjmsr-313	169	1	the	the	DET
bjmsr-313	169	2	ranking	ranking	NOUN
bjmsr-313	169	3	of	of	ADP
bjmsr-313	169	4	the	the	DET
bjmsr-313	169	5	selected	select	VERB
bjmsr-313	169	6	algorithms	algorithm	NOUN
bjmsr-313	169	7	is	be	AUX
bjmsr-313	169	8	similar	similar	ADJ
bjmsr-313	169	9	to	to	ADP
bjmsr-313	169	10	that	that	PRON
bjmsr-313	169	11	of	of	ADP
bjmsr-313	169	12	three	three	NUM
bjmsr-313	169	13	parameters	parameter	NOUN
bjmsr-313	169	14	experiments	experiment	NOUN
bjmsr-313	169	15	in	in	ADP
bjmsr-313	169	16	all	all	DET
bjmsr-313	169	17	cases	case	NOUN
bjmsr-313	169	18	of	of	ADP
bjmsr-313	169	19	small	small	ADJ
bjmsr-313	169	20	,	,	PUNCT
bjmsr-313	169	21	medium	medium	ADJ
bjmsr-313	169	22	,	,	PUNCT
bjmsr-313	169	23	and	and	CCONJ
bjmsr-313	169	24	larger	large	ADJ
bjmsr-313	169	25	sample	sample	NOUN
bjmsr-313	169	26	sizes	size	NOUN
bjmsr-313	169	27	.	.	PUNCT
bjmsr-313	170	1	table	table	NOUN
bjmsr-313	170	2	9	9	NUM
bjmsr-313	170	3	.	.	PUNCT
bjmsr-313	171	1	cpu	cpu	NOUN
bjmsr-313	171	2	times	time	NOUN
bjmsr-313	171	3	for	for	ADP
bjmsr-313	171	4	multiple	multiple	ADJ
bjmsr-313	171	5	model	model	NOUN
bjmsr-313	171	6	(	(	PUNCT
bjmsr-313	171	7	m=4	m=4	ADV
bjmsr-313	171	8	)	)	PUNCT
bjmsr-313	171	9	selected	select	VERB
bjmsr-313	171	10	algorithms	algorithm	NOUN
bjmsr-313	171	11	n	n	PRON
bjmsr-313	171	12	b(alg.4	b(alg.4	NOUN
bjmsr-313	171	13	)	)	PUNCT
bjmsr-313	172	1	br	br	NOUN
bjmsr-313	172	2	bs	bs	PROPN
bjmsr-313	172	3	afk	afk	PROPN
bjmsr-313	172	4	20	20	NUM
bjmsr-313	172	5	0.112	0.112	NUM
bjmsr-313	172	6	0.116	0.116	NUM
bjmsr-313	172	7	0.116	0.116	NUM
bjmsr-313	172	8	0.116	0.116	NUM
bjmsr-313	172	9	(	(	PUNCT
bjmsr-313	172	10	0.11,0.12	0.11,0.12	NUM
bjmsr-313	172	11	)	)	PUNCT
bjmsr-313	172	12	(	(	PUNCT
bjmsr-313	172	13	0.11,0.12	0.11,0.12	NOUN
bjmsr-313	172	14	)	)	PUNCT
bjmsr-313	172	15	(	(	PUNCT
bjmsr-313	172	16	0.11,0.12	0.11,0.12	NOUN
bjmsr-313	172	17	)	)	PUNCT
bjmsr-313	172	18	(	(	PUNCT
bjmsr-313	172	19	0.11,0.12	0.11,0.12	NOUN
bjmsr-313	172	20	)	)	PUNCT
bjmsr-313	172	21	50	50	NUM
bjmsr-313	172	22	0.156	0.156	NUM
bjmsr-313	172	23	0.168	0.168	NUM
bjmsr-313	172	24	0.160	0.160	NUM
bjmsr-313	172	25	0.160	0.160	NUM
bjmsr-313	172	26	(	(	PUNCT
bjmsr-313	172	27	0.15,0.16	0.15,0.16	NUM
bjmsr-313	172	28	)	)	PUNCT
bjmsr-313	172	29	(	(	PUNCT
bjmsr-313	172	30	0.16,0.19	0.16,0.19	NUM
bjmsr-313	172	31	)	)	PUNCT
bjmsr-313	172	32	(	(	PUNCT
bjmsr-313	172	33	0.15,0.17	0.15,0.17	NOUN
bjmsr-313	172	34	)	)	PUNCT
bjmsr-313	172	35	(	(	PUNCT
bjmsr-313	172	36	0.16,0.16	0.16,0.16	NUM
bjmsr-313	172	37	)	)	PUNCT
bjmsr-313	172	38	100	100	NUM
bjmsr-313	172	39	0.284	0.284	NUM
bjmsr-313	172	40	0.286	0.286	NUM
bjmsr-313	172	41	0.286	0.286	NUM
bjmsr-313	172	42	0.286	0.286	NUM
bjmsr-313	172	43	(	(	PUNCT
bjmsr-313	172	44	0.26,0.32	0.26,0.32	NOUN
bjmsr-313	172	45	)	)	PUNCT
bjmsr-313	172	46	(	(	PUNCT
bjmsr-313	172	47	0.26,0.30	0.26,0.30	NOUN
bjmsr-313	172	48	)	)	PUNCT
bjmsr-313	172	49	(	(	PUNCT
bjmsr-313	172	50	0.27,0.30	0.27,0.30	NOUN
bjmsr-313	172	51	)	)	PUNCT
bjmsr-313	172	52	(	(	PUNCT
bjmsr-313	172	53	0.26,0.30	0.26,0.30	NOUN
bjmsr-313	172	54	)	)	PUNCT
bjmsr-313	172	55	500	500	NUM
bjmsr-313	172	56	1.098	1.098	NUM
bjmsr-313	172	57	1.596	1.596	NUM
bjmsr-313	172	58	1.260	1.260	NUM
bjmsr-313	172	59	1.394	1.394	NUM
bjmsr-313	172	60	(	(	PUNCT
bjmsr-313	172	61	0.85,1.44	0.85,1.44	NOUN
bjmsr-313	172	62	)	)	PUNCT
bjmsr-313	172	63	(	(	PUNCT
bjmsr-313	172	64	1.23,1.77	1.23,1.77	NUM
bjmsr-313	172	65	)	)	PUNCT
bjmsr-313	172	66	(	(	PUNCT
bjmsr-313	172	67	0.92,1.58	0.92,1.58	NUM
bjmsr-313	172	68	)	)	PUNCT
bjmsr-313	172	69	(	(	PUNCT
bjmsr-313	172	70	1.17,1.71	1.17,1.71	NUM
bjmsr-313	172	71	)	)	PUNCT
bjmsr-313	172	72	1000	1000	NUM
bjmsr-313	172	73	2.194	2.194	NUM
bjmsr-313	172	74	4.016	4.016	NUM
bjmsr-313	172	75	2.200	2.200	NUM
bjmsr-313	172	76	3.022	3.022	NUM
bjmsr-313	172	77	(	(	PUNCT
bjmsr-313	172	78	2.03,2.45	2.03,2.45	NUM
bjmsr-313	172	79	)	)	PUNCT
bjmsr-313	172	80	(	(	PUNCT
bjmsr-313	172	81	3.35,5.05	3.35,5.05	NUM
bjmsr-313	172	82	)	)	PUNCT
bjmsr-313	172	83	(	(	PUNCT
bjmsr-313	172	84	0.64,3.28	0.64,3.28	NUM
bjmsr-313	172	85	)	)	PUNCT
bjmsr-313	172	86	(	(	PUNCT
bjmsr-313	172	87	2.73,3.21	2.73,3.21	NUM
bjmsr-313	172	88	)	)	PUNCT
bjmsr-313	172	89	2000	2000	NUM
bjmsr-313	173	1	4.650	4.650	NUM
bjmsr-313	173	2	10.636	10.636	NUM
bjmsr-313	173	3	5.430	5.430	NUM
bjmsr-313	173	4	7.774	7.774	NUM
bjmsr-313	173	5	(	(	PUNCT
bjmsr-313	173	6	3.92,5.05	3.92,5.05	NUM
bjmsr-313	173	7	)	)	PUNCT
bjmsr-313	173	8	(	(	PUNCT
bjmsr-313	173	9	9.44,11.86	9.44,11.86	NUM
bjmsr-313	173	10	)	)	PUNCT
bjmsr-313	173	11	(	(	PUNCT
bjmsr-313	173	12	4.54,6.15	4.54,6.15	NOUN
bjmsr-313	173	13	)	)	PUNCT
bjmsr-313	173	14	(	(	PUNCT
bjmsr-313	173	15	7.25,8.16	7.25,8.16	X
bjmsr-313	173	16	)	)	PUNCT
bjmsr-313	173	17	5000	5000	NUM
bjmsr-313	173	18	12.852	12.852	NUM
bjmsr-313	173	19	41.282	41.282	NUM
bjmsr-313	173	20	12.938	12.938	NUM
bjmsr-313	173	21	32.110	32.110	NUM
bjmsr-313	173	22	(	(	PUNCT
bjmsr-313	173	23	10.00,15.23	10.00,15.23	NUM
bjmsr-313	173	24	)	)	PUNCT
bjmsr-313	173	25	(	(	PUNCT
bjmsr-313	173	26	32.40,47.86	32.40,47.86	NOUN
bjmsr-313	173	27	)	)	PUNCT
bjmsr-313	173	28	(	(	PUNCT
bjmsr-313	173	29	11.62,14.04	11.62,14.04	NUM
bjmsr-313	173	30	)	)	PUNCT
bjmsr-313	173	31	(	(	PUNCT
bjmsr-313	173	32	29.55,33.17	29.55,33.17	NUM
bjmsr-313	173	33	)	)	PUNCT
bjmsr-313	173	34	10000	10000	NUM
bjmsr-313	174	1	27.720	27.720	NUM
bjmsr-313	174	2	119.152	119.152	NUM
bjmsr-313	174	3	27.864	27.864	NUM
bjmsr-313	174	4	101.472	101.472	NUM
bjmsr-313	174	5	(	(	PUNCT
bjmsr-313	174	6	22.93,39.14	22.93,39.14	NUM
bjmsr-313	174	7	)	)	PUNCT
bjmsr-313	174	8	(	(	PUNCT
bjmsr-313	174	9	107.14,129.70	107.14,129.70	NUM
bjmsr-313	174	10	)	)	PUNCT
bjmsr-313	174	11	(	(	PUNCT
bjmsr-313	174	12	23.94,32.10	23.94,32.10	NOUN
bjmsr-313	174	13	)	)	PUNCT
bjmsr-313	174	14	(	(	PUNCT
bjmsr-313	174	15	100.31,103.15	100.31,103.15	NUM
bjmsr-313	174	16	)	)	PUNCT
bjmsr-313	174	17	see	see	VERB
bjmsr-313	174	18	table	table	NOUN
bjmsr-313	174	19	7	7	NUM
bjmsr-313	174	20	for	for	ADP
bjmsr-313	174	21	abbreviations	abbreviation	NOUN
bjmsr-313	174	22	.	.	PUNCT
bjmsr-313	175	1	when	when	SCONJ
bjmsr-313	175	2	the	the	DET
bjmsr-313	175	3	number	number	NOUN
bjmsr-313	175	4	of	of	ADP
bjmsr-313	175	5	parameters	parameter	NOUN
bjmsr-313	175	6	increased	increase	VERB
bjmsr-313	175	7	to	to	ADP
bjmsr-313	175	8	five	five	NUM
bjmsr-313	175	9	,	,	PUNCT
bjmsr-313	175	10	bs	bs	PROPN
bjmsr-313	175	11	algorithm	algorithm	NOUN
bjmsr-313	175	12	failed	fail	VERB
bjmsr-313	175	13	to	to	PART
bjmsr-313	175	14	produce	produce	VERB
bjmsr-313	175	15	correct	correct	ADJ
bjmsr-313	175	16	answers	answer	NOUN
bjmsr-313	175	17	for	for	ADP
bjmsr-313	175	18	sample	sample	NOUN
bjmsr-313	175	19	sizes	size	NOUN
bjmsr-313	175	20	of	of	ADP
bjmsr-313	175	21	2000	2000	NUM
bjmsr-313	175	22	and	and	CCONJ
bjmsr-313	175	23	more	more	ADJ
bjmsr-313	175	24	.	.	PUNCT
bjmsr-313	176	1	gentle	gentle	ADJ
bjmsr-313	176	2	and	and	CCONJ
bjmsr-313	176	3	narula	narula	NOUN
bjmsr-313	176	4	and	and	CCONJ
bjmsr-313	176	5	sposito	sposito	X
bjmsr-313	176	6	(	(	PUNCT
bjmsr-313	176	7	1987	1987	NUM
bjmsr-313	176	8	)	)	PUNCT
bjmsr-313	176	9	also	also	ADV
bjmsr-313	176	10	referred	refer	VERB
bjmsr-313	176	11	to	to	ADP
bjmsr-313	176	12	the	the	DET
bjmsr-313	176	13	failure	failure	NOUN
bjmsr-313	176	14	of	of	ADP
bjmsr-313	176	15	bs	bs	ADJ
bjmsr-313	176	16	algorithm	algorithm	NOUN
bjmsr-313	176	17	for	for	ADP
bjmsr-313	176	18	sample	sample	NOUN
bjmsr-313	176	19	sizes	size	NOUN
bjmsr-313	176	20	of	of	ADP
bjmsr-313	176	21	1000	1000	NUM
bjmsr-313	176	22	and	and	CCONJ
bjmsr-313	176	23	greater	great	ADJ
bjmsr-313	176	24	for	for	ADP
bjmsr-313	176	25	five	five	NUM
bjmsr-313	176	26	and	and	CCONJ
bjmsr-313	176	27	more	more	ADJ
bjmsr-313	176	28	parameters	parameter	NOUN
bjmsr-313	176	29	models	model	NOUN
bjmsr-313	176	30	and	and	CCONJ
bjmsr-313	176	31	for	for	ADP
bjmsr-313	176	32	a	a	DET
bjmsr-313	176	33	sample	sample	NOUN
bjmsr-313	176	34	size	size	NOUN
bjmsr-313	176	35	of	of	ADP
bjmsr-313	176	36	5000	5000	NUM
bjmsr-313	176	37	when	when	SCONJ
bjmsr-313	176	38	the	the	DET
bjmsr-313	176	39	number	number	NOUN
bjmsr-313	176	40	of	of	ADP
bjmsr-313	176	41	parameters	parameter	NOUN
bjmsr-313	176	42	is	be	AUX
bjmsr-313	176	43	two	two	NUM
bjmsr-313	176	44	.	.	PUNCT
bjmsr-313	177	1	with	with	ADP
bjmsr-313	177	2	reference	reference	NOUN
bjmsr-313	177	3	to	to	ADP
bjmsr-313	177	4	table	table	NOUN
bjmsr-313	177	5	10	10	NUM
bjmsr-313	177	6	,	,	PUNCT
bjmsr-313	177	7	the	the	DET
bjmsr-313	177	8	efficiency	efficiency	NOUN
bjmsr-313	177	9	of	of	ADP
bjmsr-313	177	10	algorithm	algorithm	NOUN
bjmsr-313	177	11	4	4	NUM
bjmsr-313	177	12	to	to	ADP
bjmsr-313	177	13	others	other	NOUN
bjmsr-313	177	14	with	with	ADP
bjmsr-313	177	15	respect	respect	NOUN
bjmsr-313	177	16	to	to	ADP
bjmsr-313	177	17	the	the	DET
bjmsr-313	177	18	failure	failure	NOUN
bjmsr-313	177	19	of	of	ADP
bjmsr-313	177	20	bs	bs	NOUN
bjmsr-313	177	21	is	be	AUX
bjmsr-313	177	22	clear	clear	ADJ
bjmsr-313	177	23	.	.	PUNCT
bjmsr-313	178	1	the	the	DET
bjmsr-313	178	2	algorithms	algorithm	NOUN
bjmsr-313	178	3	of	of	ADP
bjmsr-313	178	4	afk	afk	PROPN
bjmsr-313	178	5	and	and	CCONJ
bjmsr-313	178	6	br	br	NOUN
bjmsr-313	178	7	are	be	AUX
bjmsr-313	178	8	in	in	ADP
bjmsr-313	178	9	the	the	DET
bjmsr-313	178	10	next	next	ADJ
bjmsr-313	178	11	positions	position	NOUN
bjmsr-313	178	12	,	,	PUNCT
bjmsr-313	178	13	respectively	respectively	ADV
bjmsr-313	178	14	.	.	PUNCT
bjmsr-313	179	1	for	for	ADP
bjmsr-313	179	2	smaller	small	ADJ
bjmsr-313	179	3	sample	sample	NOUN
bjmsr-313	179	4	size	size	NOUN
bjmsr-313	179	5	,	,	PUNCT
bjmsr-313	179	6	br	br	PROPN
bjmsr-313	179	7	,	,	PUNCT
bjmsr-313	179	8	bs	bs	NOUN
bjmsr-313	179	9	,	,	PUNCT
bjmsr-313	179	10	and	and	CCONJ
bjmsr-313	179	11	afk	afk	NOUN
bjmsr-313	179	12	algorithms	algorithm	NOUN
bjmsr-313	179	13	are	be	AUX
bjmsr-313	179	14	competing	compete	VERB
bjmsr-313	179	15	,	,	PUNCT
bjmsr-313	179	16	but	but	CCONJ
bjmsr-313	179	17	the	the	DET
bjmsr-313	179	18	differences	difference	NOUN
bjmsr-313	179	19	are	be	AUX
bjmsr-313	179	20	very	very	ADV
bjmsr-313	179	21	small	small	ADJ
bjmsr-313	179	22	.	.	PUNCT
bjmsr-313	180	1	in	in	ADP
bjmsr-313	180	2	the	the	DET
bjmsr-313	180	3	larger	large	ADJ
bjmsr-313	180	4	sample	sample	NOUN
bjmsr-313	180	5	sizes	size	NOUN
bjmsr-313	180	6	,	,	PUNCT
bjmsr-313	180	7	algorithm	algorithm	NOUN
bjmsr-313	180	8	4	4	NUM
bjmsr-313	180	9	becomes	become	VERB
bjmsr-313	180	10	strictly	strictly	ADV
bjmsr-313	180	11	superior	superior	ADJ
bjmsr-313	180	12	to	to	ADP
bjmsr-313	180	13	other	other	ADJ
bjmsr-313	180	14	algorithms	algorithm	NOUN
bjmsr-313	180	15	.	.	PUNCT
bjmsr-313	181	1	table	table	NOUN
bjmsr-313	181	2	10	10	NUM
bjmsr-313	181	3	.	.	PUNCT
bjmsr-313	182	1	cpu	cpu	NOUN
bjmsr-313	182	2	times	time	NOUN
bjmsr-313	182	3	for	for	ADP
bjmsr-313	182	4	multiple	multiple	ADJ
bjmsr-313	182	5	model	model	NOUN
bjmsr-313	182	6	(	(	PUNCT
bjmsr-313	182	7	m=5	m=5	X
bjmsr-313	182	8	)	)	PUNCT
bjmsr-313	182	9	selected	select	VERB
bjmsr-313	182	10	algorithms	algorithm	NOUN
bjmsr-313	182	11	n	n	PRON
bjmsr-313	182	12	b(alg.4	b(alg.4	NOUN
bjmsr-313	182	13	)	)	PUNCT
bjmsr-313	183	1	br	br	NOUN
bjmsr-313	183	2	bs	bs	PROPN
bjmsr-313	183	3	afk	afk	PROPN
bjmsr-313	183	4	20	20	NUM
bjmsr-313	183	5	0.138	0.138	NUM
bjmsr-313	183	6	0.124	0.124	NUM
bjmsr-313	183	7	0.124	0.124	NUM
bjmsr-313	183	8	0.124	0.124	NUM
bjmsr-313	183	9	(	(	PUNCT
bjmsr-313	183	10	0.13,0.15	0.13,0.15	NUM
bjmsr-313	183	11	)	)	PUNCT
bjmsr-313	183	12	(	(	PUNCT
bjmsr-313	183	13	0.12,0.13	0.12,0.13	NUM
bjmsr-313	183	14	)	)	PUNCT
bjmsr-313	183	15	(	(	PUNCT
bjmsr-313	183	16	0.12,0.14	0.12,0.14	X
bjmsr-313	183	17	)	)	PUNCT
bjmsr-313	183	18	(	(	PUNCT
bjmsr-313	183	19	0.11,0.13	0.11,0.13	NOUN
bjmsr-313	183	20	)	)	PUNCT
bjmsr-313	184	1	50	50	NUM
bjmsr-313	184	2	0.208	0.208	NUM
bjmsr-313	184	3	0.240	0.240	NUM
bjmsr-313	184	4	0.204	0.204	NUM
bjmsr-313	184	5	0.188	0.188	NUM
bjmsr-313	184	6	(	(	PUNCT
bjmsr-313	184	7	0.18,0.24	0.18,0.24	NOUN
bjmsr-313	184	8	)	)	PUNCT
bjmsr-313	184	9	(	(	PUNCT
bjmsr-313	184	10	0.22,0.26	0.22,0.26	NOUN
bjmsr-313	184	11	)	)	PUNCT
bjmsr-313	184	12	(	(	PUNCT
bjmsr-313	184	13	0.20,0.21	0.20,0.21	NUM
bjmsr-313	184	14	)	)	PUNCT
bjmsr-313	184	15	(	(	PUNCT
bjmsr-313	184	16	0.18,0.20	0.18,0.20	X
bjmsr-313	184	17	)	)	PUNCT
bjmsr-313	184	18	100	100	NUM
bjmsr-313	184	19	0.348	0.348	NUM
bjmsr-313	184	20	0.380	0.380	NUM
bjmsr-313	184	21	0.404	0.404	NUM
bjmsr-313	184	22	0.338	0.338	NUM
bjmsr-313	184	23	(	(	PUNCT
bjmsr-313	184	24	0.33,0.37	0.33,0.37	NUM
bjmsr-313	184	25	)	)	PUNCT
bjmsr-313	184	26	(	(	PUNCT
bjmsr-313	184	27	0.34,0.42	0.34,0.42	NUM
bjmsr-313	184	28	)	)	PUNCT
bjmsr-313	184	29	(	(	PUNCT
bjmsr-313	184	30	0.36,0.46	0.36,0.46	NOUN
bjmsr-313	184	31	)	)	PUNCT
bjmsr-313	184	32	(	(	PUNCT
bjmsr-313	184	33	0.32,0.36	0.32,0.36	NUM
bjmsr-313	184	34	)	)	PUNCT
bjmsr-313	184	35	500	500	NUM
bjmsr-313	184	36	2.024	2.024	NUM
bjmsr-313	184	37	2.498	2.498	NUM
bjmsr-313	184	38	1.754	1.754	NUM
bjmsr-313	184	39	1.684	1.684	NUM
bjmsr-313	184	40	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	184	41	bangladesh	bangladesh	PROPN
bjmsr-313	184	42	journal	journal	PROPN
bjmsr-313	184	43	of	of	ADP
bjmsr-313	184	44	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	184	45	scientific	scientific	ADJ
bjmsr-313	184	46	research	research	NOUN
bjmsr-313	184	47	vol	vol	NOUN
bjmsr-313	184	48	.	.	PROPN
bjmsr-313	185	1	1	1	NUM
bjmsr-313	185	2	,	,	PUNCT
bjmsr-313	185	3	no	no	INTJ
bjmsr-313	185	4	.	.	NOUN
bjmsr-313	185	5	1	1	NUM
bjmsr-313	185	6	;	;	PUNCT
bjmsr-313	186	1	2019	2019	NUM
bjmsr-313	186	2	37	37	NUM
bjmsr-313	186	3	(	(	PUNCT
bjmsr-313	186	4	1.57,2.40	1.57,2.40	NUM
bjmsr-313	186	5	)	)	PUNCT
bjmsr-313	186	6	(	(	PUNCT
bjmsr-313	186	7	2.29,2.68	2.29,2.68	NUM
bjmsr-313	186	8	)	)	PUNCT
bjmsr-313	186	9	(	(	PUNCT
bjmsr-313	186	10	1.34,2.01	1.34,2.01	NUM
bjmsr-313	186	11	)	)	PUNCT
bjmsr-313	186	12	(	(	PUNCT
bjmsr-313	186	13	1.57,1.78	1.57,1.78	NUM
bjmsr-313	186	14	)	)	PUNCT
bjmsr-313	186	15	1000	1000	NUM
bjmsr-313	186	16	3.702	3.702	NUM
bjmsr-313	186	17	5.684	5.684	NUM
bjmsr-313	186	18	3.364	3.364	NUM
bjmsr-313	186	19	3.876	3.876	NUM
bjmsr-313	186	20	(	(	PUNCT
bjmsr-313	186	21	3.19,4.45	3.19,4.45	NUM
bjmsr-313	186	22	)	)	PUNCT
bjmsr-313	186	23	(	(	PUNCT
bjmsr-313	186	24	4.86,6.28	4.86,6.28	NOUN
bjmsr-313	186	25	)	)	PUNCT
bjmsr-313	186	26	(	(	PUNCT
bjmsr-313	186	27	2.93,3.71	2.93,3.71	NUM
bjmsr-313	186	28	)	)	PUNCT
bjmsr-313	186	29	(	(	PUNCT
bjmsr-313	186	30	3.67,4.13	3.67,4.13	NUM
bjmsr-313	186	31	)	)	PUNCT
bjmsr-313	186	32	2000	2000	NUM
bjmsr-313	186	33	8.770	8.770	NUM
bjmsr-313	186	34	15.500	15.500	NUM
bjmsr-313	186	35	+	+	NUM
bjmsr-313	186	36	9.120	9.120	NUM
bjmsr-313	186	37	(	(	PUNCT
bjmsr-313	186	38	7.51,9.41	7.51,9.41	NUM
bjmsr-313	186	39	)	)	PUNCT
bjmsr-313	186	40	(	(	PUNCT
bjmsr-313	186	41	13.04,16.58	13.04,16.58	NUM
bjmsr-313	186	42	)	)	PUNCT
bjmsr-313	187	1	+	+	CCONJ
bjmsr-313	187	2	(	(	PUNCT
bjmsr-313	187	3	7.91,9.93	7.91,9.93	NUM
bjmsr-313	187	4	)	)	PUNCT
bjmsr-313	187	5	5000	5000	NUM
bjmsr-313	187	6	24.418	24.418	NUM
bjmsr-313	187	7	66.394	66.394	NUM
bjmsr-313	187	8	+	+	CCONJ
bjmsr-313	187	9	36.600	36.600	NUM
bjmsr-313	187	10	(	(	PUNCT
bjmsr-313	187	11	20.15,27.96	20.15,27.96	NUM
bjmsr-313	187	12	)	)	PUNCT
bjmsr-313	187	13	(	(	PUNCT
bjmsr-313	187	14	59.93,71.90	59.93,71.90	NUM
bjmsr-313	187	15	)	)	PUNCT
bjmsr-313	187	16	+	+	CCONJ
bjmsr-313	187	17	(	(	PUNCT
bjmsr-313	187	18	33.95,38.67	33.95,38.67	NUM
bjmsr-313	187	19	)	)	PUNCT
bjmsr-313	187	20	10000	10000	NUM
bjmsr-313	188	1	53.924	53.924	NUM
bjmsr-313	188	2	244.072	244.072	NUM
bjmsr-313	188	3	+	+	SYM
bjmsr-313	188	4	108.406	108.406	NUM
bjmsr-313	188	5	(	(	PUNCT
bjmsr-313	188	6	38.35,64.90	38.35,64.90	NUM
bjmsr-313	188	7	)	)	PUNCT
bjmsr-313	188	8	(	(	PUNCT
bjmsr-313	188	9	217.81,270.06	217.81,270.06	NUM
bjmsr-313	188	10	)	)	PUNCT
bjmsr-313	188	11	+	+	CCONJ
bjmsr-313	188	12	(	(	PUNCT
bjmsr-313	188	13	99.65,119.75	99.65,119.75	NUM
bjmsr-313	188	14	)	)	PUNCT
bjmsr-313	189	1	+	+	CCONJ
bjmsr-313	189	2	failed	fail	VERB
bjmsr-313	189	3	to	to	PART
bjmsr-313	189	4	compute	compute	VERB
bjmsr-313	189	5	correct	correct	ADJ
bjmsr-313	189	6	answers	answer	NOUN
bjmsr-313	189	7	.	.	PUNCT
bjmsr-313	190	1	see	see	VERB
bjmsr-313	190	2	table	table	NOUN
bjmsr-313	190	3	7	7	NUM
bjmsr-313	190	4	for	for	ADP
bjmsr-313	190	5	abbreviations	abbreviation	NOUN
bjmsr-313	190	6	.	.	PUNCT
bjmsr-313	191	1	table	table	NOUN
bjmsr-313	191	2	11	11	NUM
bjmsr-313	191	3	.	.	PUNCT
bjmsr-313	192	1	cpu	cpu	NOUN
bjmsr-313	192	2	times	time	NOUN
bjmsr-313	192	3	for	for	ADP
bjmsr-313	192	4	multiple	multiple	ADJ
bjmsr-313	192	5	model	model	NOUN
bjmsr-313	192	6	(	(	PUNCT
bjmsr-313	192	7	m=7	m=7	NOUN
bjmsr-313	192	8	)	)	PUNCT
bjmsr-313	192	9	selected	select	VERB
bjmsr-313	192	10	algorithms	algorithm	NOUN
bjmsr-313	192	11	n	n	PRON
bjmsr-313	192	12	b(alg.4	b(alg.4	NOUN
bjmsr-313	192	13	)	)	PUNCT
bjmsr-313	192	14	br	br	NOUN
bjmsr-313	192	15	bs	bs	PROPN
bjmsr-313	192	16	afk	afk	PROPN
bjmsr-313	192	17	20	20	NUM
bjmsr-313	192	18	0.160	0.160	NUM
bjmsr-313	192	19	0.164	0.164	NUM
bjmsr-313	192	20	0.156	0.156	NUM
bjmsr-313	192	21	0.160	0.160	NUM
bjmsr-313	192	22	(	(	PUNCT
bjmsr-313	192	23	0.16,0.16	0.16,0.16	NUM
bjmsr-313	192	24	)	)	PUNCT
bjmsr-313	192	25	(	(	PUNCT
bjmsr-313	192	26	0.16,0.17	0.16,0.17	INTJ
bjmsr-313	192	27	)	)	PUNCT
bjmsr-313	192	28	(	(	PUNCT
bjmsr-313	192	29	0.15,0.16	0.15,0.16	NUM
bjmsr-313	192	30	)	)	PUNCT
bjmsr-313	192	31	(	(	PUNCT
bjmsr-313	192	32	0.15,0.17	0.15,0.17	NOUN
bjmsr-313	192	33	)	)	PUNCT
bjmsr-313	192	34	50	50	NUM
bjmsr-313	192	35	0.346	0.346	NUM
bjmsr-313	192	36	0.302	0.302	NUM
bjmsr-313	192	37	0.328	0.328	NUM
bjmsr-313	192	38	0.282	0.282	NUM
bjmsr-313	192	39	(	(	PUNCT
bjmsr-313	192	40	0.29,0.37	0.29,0.37	NUM
bjmsr-313	192	41	)	)	PUNCT
bjmsr-313	192	42	(	(	PUNCT
bjmsr-313	192	43	0.29.0.31	0.29.0.31	NUM
bjmsr-313	192	44	)	)	PUNCT
bjmsr-313	192	45	(	(	PUNCT
bjmsr-313	192	46	0.31,0.34	0.31,0.34	NOUN
bjmsr-313	192	47	)	)	PUNCT
bjmsr-313	192	48	(	(	PUNCT
bjmsr-313	192	49	0.26,0.30	0.26,0.30	NOUN
bjmsr-313	192	50	)	)	PUNCT
bjmsr-313	192	51	100	100	NUM
bjmsr-313	192	52	0.706	0.706	NUM
bjmsr-313	192	53	0.572	0.572	NUM
bjmsr-313	192	54	0.540	0.540	NUM
bjmsr-313	192	55	0.530	0.530	NUM
bjmsr-313	192	56	(	(	PUNCT
bjmsr-313	192	57	0.58,0.81	0.58,0.81	NUM
bjmsr-313	192	58	)	)	PUNCT
bjmsr-313	192	59	(	(	PUNCT
bjmsr-313	192	60	0.52,0.65	0.52,0.65	NOUN
bjmsr-313	192	61	)	)	PUNCT
bjmsr-313	192	62	(	(	PUNCT
bjmsr-313	192	63	0.48,0.62	0.48,0.62	NUM
bjmsr-313	192	64	)	)	PUNCT
bjmsr-313	192	65	(	(	PUNCT
bjmsr-313	192	66	0.47,0.62	0.47,0.62	NOUN
bjmsr-313	192	67	)	)	PUNCT
bjmsr-313	192	68	500	500	NUM
bjmsr-313	192	69	3.898	3.898	NUM
bjmsr-313	192	70	4.486	4.486	NUM
bjmsr-313	192	71	3.202	3.202	NUM
bjmsr-313	192	72	2.990	2.990	NUM
bjmsr-313	192	73	(	(	PUNCT
bjmsr-313	192	74	3.25,4.54	3.25,4.54	NUM
bjmsr-313	192	75	)	)	PUNCT
bjmsr-313	192	76	(	(	PUNCT
bjmsr-313	192	77	4.03,4.85	4.03,4.85	NUM
bjmsr-313	192	78	)	)	PUNCT
bjmsr-313	192	79	(	(	PUNCT
bjmsr-313	192	80	2.41,3.87	2.41,3.87	NUM
bjmsr-313	192	81	)	)	PUNCT
bjmsr-313	192	82	(	(	PUNCT
bjmsr-313	192	83	2.45,3.48	2.45,3.48	NUM
bjmsr-313	192	84	)	)	PUNCT
bjmsr-313	192	85	1000	1000	NUM
bjmsr-313	192	86	9.178	9.178	NUM
bjmsr-313	192	87	11.448	11.448	NUM
bjmsr-313	193	1	+	+	CCONJ
bjmsr-313	193	2	6.568	6.568	NUM
bjmsr-313	193	3	(	(	PUNCT
bjmsr-313	193	4	7.03,10.44	7.03,10.44	NUM
bjmsr-313	193	5	)	)	PUNCT
bjmsr-313	193	6	(	(	PUNCT
bjmsr-313	193	7	9.88,12.71	9.88,12.71	NUM
bjmsr-313	193	8	)	)	PUNCT
bjmsr-313	194	1	+	+	CCONJ
bjmsr-313	194	2	(	(	PUNCT
bjmsr-313	194	3	5.87,7.68	5.87,7.68	NUM
bjmsr-313	194	4	)	)	PUNCT
bjmsr-313	194	5	2000	2000	NUM
bjmsr-313	194	6	19.984	19.984	NUM
bjmsr-313	194	7	31.872	31.872	NUM
bjmsr-313	194	8	+	+	CCONJ
bjmsr-313	194	9	14.908	14.908	NUM
bjmsr-313	194	10	(	(	PUNCT
bjmsr-313	194	11	18.06,21.55	18.06,21.55	NOUN
bjmsr-313	194	12	)	)	PUNCT
bjmsr-313	194	13	(	(	PUNCT
bjmsr-313	194	14	24.52,35.22	24.52,35.22	NOUN
bjmsr-313	194	15	)	)	PUNCT
bjmsr-313	195	1	+	+	CCONJ
bjmsr-313	195	2	(	(	PUNCT
bjmsr-313	195	3	13.56,16.23	13.56,16.23	NUM
bjmsr-313	195	4	)	)	PUNCT
bjmsr-313	195	5	5000	5000	NUM
bjmsr-313	196	1	57.286	57.286	NUM
bjmsr-313	196	2	141.234	141.234	NUM
bjmsr-313	196	3	+	+	CCONJ
bjmsr-313	196	4	58.314	58.314	NUM
bjmsr-313	196	5	(	(	PUNCT
bjmsr-313	196	6	49.53,64.24	49.53,64.24	PROPN
bjmsr-313	196	7	)	)	PUNCT
bjmsr-313	196	8	(	(	PUNCT
bjmsr-313	196	9	129.20,154.03	129.20,154.03	NUM
bjmsr-313	196	10	)	)	PUNCT
bjmsr-313	196	11	+	+	CCONJ
bjmsr-313	196	12	(	(	PUNCT
bjmsr-313	196	13	49.12,65.17	49.12,65.17	NOUN
bjmsr-313	196	14	)	)	PUNCT
bjmsr-313	196	15	10000	10000	NUM
bjmsr-313	197	1	130.79	130.79	NUM
bjmsr-313	197	2	475.826	475.826	NUM
bjmsr-313	197	3	+	+	CCONJ
bjmsr-313	197	4	151.526	151.526	NUM
bjmsr-313	197	5	(	(	PUNCT
bjmsr-313	197	6	103.20,183.45	103.20,183.45	NUM
bjmsr-313	197	7	)	)	PUNCT
bjmsr-313	197	8	(	(	PUNCT
bjmsr-313	197	9	421.40,521.39	421.40,521.39	NUM
bjmsr-313	197	10	)	)	PUNCT
bjmsr-313	197	11	+	+	CCONJ
bjmsr-313	197	12	(	(	PUNCT
bjmsr-313	197	13	144.94,165.62	144.94,165.62	X
bjmsr-313	197	14	)	)	PUNCT
bjmsr-313	197	15	+	+	CCONJ
bjmsr-313	197	16	failed	fail	VERB
bjmsr-313	197	17	to	to	PART
bjmsr-313	197	18	compute	compute	VERB
bjmsr-313	197	19	correct	correct	ADJ
bjmsr-313	197	20	answers	answer	NOUN
bjmsr-313	197	21	.	.	PUNCT
bjmsr-313	198	1	see	see	VERB
bjmsr-313	198	2	table	table	NOUN
bjmsr-313	198	3	7	7	NUM
bjmsr-313	198	4	for	for	ADP
bjmsr-313	198	5	abbreviations	abbreviation	NOUN
bjmsr-313	198	6	.	.	PUNCT
bjmsr-313	199	1	in	in	ADP
bjmsr-313	199	2	table	table	NOUN
bjmsr-313	199	3	11	11	NUM
bjmsr-313	199	4	,	,	PUNCT
bjmsr-313	199	5	when	when	SCONJ
bjmsr-313	199	6	the	the	DET
bjmsr-313	199	7	number	number	NOUN
bjmsr-313	199	8	of	of	ADP
bjmsr-313	199	9	parameters	parameter	NOUN
bjmsr-313	199	10	is	be	AUX
bjmsr-313	199	11	seven	seven	NUM
bjmsr-313	199	12	,	,	PUNCT
bjmsr-313	199	13	bs	bs	PROPN
bjmsr-313	199	14	algorithm	algorithm	NOUN
bjmsr-313	199	15	failed	fail	VERB
bjmsr-313	199	16	to	to	PART
bjmsr-313	199	17	compute	compute	VERB
bjmsr-313	199	18	the	the	DET
bjmsr-313	199	19	correct	correct	ADJ
bjmsr-313	199	20	answer	answer	NOUN
bjmsr-313	199	21	for	for	ADP
bjmsr-313	199	22	a	a	DET
bjmsr-313	199	23	sample	sample	NOUN
bjmsr-313	199	24	of	of	ADP
bjmsr-313	199	25	sizes	size	NOUN
bjmsr-313	199	26	1000	1000	NUM
bjmsr-313	199	27	and	and	CCONJ
bjmsr-313	199	28	more	more	ADJ
bjmsr-313	199	29	.	.	PUNCT
bjmsr-313	200	1	afk	afk	NOUN
bjmsr-313	200	2	is	be	AUX
bjmsr-313	200	3	the	the	DET
bjmsr-313	200	4	best	good	ADJ
bjmsr-313	200	5	for	for	ADP
bjmsr-313	200	6	smaller	small	ADJ
bjmsr-313	200	7	samples	sample	NOUN
bjmsr-313	200	8	,	,	PUNCT
bjmsr-313	200	9	but	but	CCONJ
bjmsr-313	200	10	for	for	ADP
bjmsr-313	200	11	large	large	ADJ
bjmsr-313	200	12	samples	sample	NOUN
bjmsr-313	200	13	,	,	PUNCT
bjmsr-313	200	14	algorithm	algorithm	NOUN
bjmsr-313	200	15	4	4	NUM
bjmsr-313	200	16	is	be	AUX
bjmsr-313	200	17	again	again	ADV
bjmsr-313	200	18	superior	superior	ADJ
bjmsr-313	200	19	.	.	PUNCT
bjmsr-313	201	1	br	br	PROPN
bjmsr-313	201	2	algorithm	algorithm	NOUN
bjmsr-313	201	3	is	be	AUX
bjmsr-313	201	4	in	in	ADP
bjmsr-313	201	5	the	the	DET
bjmsr-313	201	6	third	third	ADJ
bjmsr-313	201	7	position	position	NOUN
bjmsr-313	201	8	.	.	PUNCT
bjmsr-313	202	1	in	in	ADP
bjmsr-313	202	2	table	table	NOUN
bjmsr-313	202	3	12	12	NUM
bjmsr-313	202	4	,	,	PUNCT
bjmsr-313	202	5	with	with	ADP
bjmsr-313	202	6	ten	ten	NUM
bjmsr-313	202	7	parameters	parameter	NOUN
bjmsr-313	202	8	,	,	PUNCT
bjmsr-313	202	9	bs	bs	PROPN
bjmsr-313	202	10	and	and	CCONJ
bjmsr-313	202	11	afk	afk	PROPN
bjmsr-313	202	12	algorithms	algorithm	NOUN
bjmsr-313	202	13	failed	fail	VERB
bjmsr-313	202	14	to	to	PART
bjmsr-313	202	15	compute	compute	VERB
bjmsr-313	202	16	correct	correct	ADJ
bjmsr-313	202	17	answers	answer	NOUN
bjmsr-313	202	18	for	for	ADP
bjmsr-313	202	19	the	the	DET
bjmsr-313	202	20	larger	large	ADJ
bjmsr-313	202	21	sample	sample	NOUN
bjmsr-313	202	22	sizes	size	NOUN
bjmsr-313	202	23	.	.	PUNCT
bjmsr-313	203	1	br	br	PROPN
bjmsr-313	203	2	algorithm	algorithm	PROPN
bjmsr-313	203	3	is	be	AUX
bjmsr-313	203	4	the	the	DET
bjmsr-313	203	5	most	most	ADV
bjmsr-313	203	6	efficient	efficient	ADJ
bjmsr-313	203	7	with	with	ADP
bjmsr-313	203	8	respect	respect	NOUN
bjmsr-313	203	9	to	to	ADP
bjmsr-313	203	10	accuracy	accuracy	NOUN
bjmsr-313	203	11	.	.	PUNCT
bjmsr-313	204	1	algorithm	algorithm	NOUN
bjmsr-313	204	2	4	4	NUM
bjmsr-313	204	3	remains	remain	VERB
bjmsr-313	204	4	in	in	ADP
bjmsr-313	204	5	the	the	DET
bjmsr-313	204	6	second	second	ADJ
bjmsr-313	204	7	position	position	NOUN
bjmsr-313	204	8	of	of	ADP
bjmsr-313	204	9	both	both	DET
bjmsr-313	204	10	computing	computing	NOUN
bjmsr-313	204	11	time	time	NOUN
bjmsr-313	204	12	and	and	CCONJ
bjmsr-313	204	13	accuracy	accuracy	NOUN
bjmsr-313	204	14	,	,	PUNCT
bjmsr-313	204	15	except	except	SCONJ
bjmsr-313	204	16	for	for	ADP
bjmsr-313	204	17	sample	sample	NOUN
bjmsr-313	204	18	size	size	NOUN
bjmsr-313	204	19	of	of	ADP
bjmsr-313	204	20	10000	10000	NUM
bjmsr-313	204	21	,	,	PUNCT
bjmsr-313	204	22	where	where	SCONJ
bjmsr-313	204	23	algorithm	algorithm	NOUN
bjmsr-313	204	24	4	4	NUM
bjmsr-313	204	25	is	be	AUX
bjmsr-313	204	26	the	the	DET
bjmsr-313	204	27	most	most	ADV
bjmsr-313	204	28	efficient	efficient	ADJ
bjmsr-313	204	29	.	.	PUNCT
bjmsr-313	205	1	table	table	NOUN
bjmsr-313	205	2	12	12	NUM
bjmsr-313	205	3	.	.	PUNCT
bjmsr-313	206	1	cpu	cpu	NOUN
bjmsr-313	206	2	times	time	NOUN
bjmsr-313	206	3	for	for	ADP
bjmsr-313	206	4	multiple	multiple	ADJ
bjmsr-313	206	5	model	model	NOUN
bjmsr-313	206	6	(	(	PUNCT
bjmsr-313	206	7	m=10	m=10	NOUN
bjmsr-313	206	8	)	)	PUNCT
bjmsr-313	206	9	selected	select	VERB
bjmsr-313	206	10	algorithms	algorithm	NOUN
bjmsr-313	206	11	n	n	PRON
bjmsr-313	206	12	b(alg.4	b(alg.4	NOUN
bjmsr-313	206	13	)	)	PUNCT
bjmsr-313	206	14	br	br	NOUN
bjmsr-313	206	15	bs	bs	PROPN
bjmsr-313	206	16	afk	afk	PROPN
bjmsr-313	206	17	20	20	NUM
bjmsr-313	206	18	0.276	0.276	NUM
bjmsr-313	206	19	0.212	0.212	NUM
bjmsr-313	206	20	0.218	0.218	NUM
bjmsr-313	206	21	0.212	0.212	NUM
bjmsr-313	206	22	(	(	PUNCT
bjmsr-313	206	23	0.27,0.29	0.27,0.29	NUM
bjmsr-313	206	24	)	)	PUNCT
bjmsr-313	206	25	(	(	PUNCT
bjmsr-313	206	26	0.20,0.23	0.20,0.23	NUM
bjmsr-313	206	27	)	)	PUNCT
bjmsr-313	206	28	(	(	PUNCT
bjmsr-313	206	29	0.21,0.22	0.21,0.22	NOUN
bjmsr-313	206	30	)	)	PUNCT
bjmsr-313	206	31	(	(	PUNCT
bjmsr-313	206	32	0.20,0.23	0.20,0.23	NOUN
bjmsr-313	206	33	)	)	PUNCT
bjmsr-313	206	34	50	50	NUM
bjmsr-313	206	35	0.956	0.956	NUM
bjmsr-313	206	36	0.502	0.502	NUM
bjmsr-313	206	37	0.492	0.492	NUM
bjmsr-313	206	38	0.398	0.398	NUM
bjmsr-313	206	39	(	(	PUNCT
bjmsr-313	206	40	0.69,1.72	0.69,1.72	NOUN
bjmsr-313	206	41	)	)	PUNCT
bjmsr-313	206	42	(	(	PUNCT
bjmsr-313	206	43	0.47,0.54	0.47,0.54	NUM
bjmsr-313	206	44	)	)	PUNCT
bjmsr-313	206	45	(	(	PUNCT
bjmsr-313	206	46	0.43,0.54	0.43,0.54	NUM
bjmsr-313	206	47	)	)	PUNCT
bjmsr-313	206	48	(	(	PUNCT
bjmsr-313	206	49	0.35,0.44	0.35,0.44	NOUN
bjmsr-313	206	50	)	)	PUNCT
bjmsr-313	206	51	100	100	NUM
bjmsr-313	206	52	2.414	2.414	NUM
bjmsr-313	206	53	1.144	1.144	NUM
bjmsr-313	206	54	0.998	0.998	NUM
bjmsr-313	206	55	0.776	0.776	NUM
bjmsr-313	206	56	(	(	PUNCT
bjmsr-313	206	57	1.55,4.78	1.55,4.78	NUM
bjmsr-313	206	58	)	)	PUNCT
bjmsr-313	206	59	(	(	PUNCT
bjmsr-313	206	60	1.03,1.25	1.03,1.25	NUM
bjmsr-313	206	61	)	)	PUNCT
bjmsr-313	206	62	(	(	PUNCT
bjmsr-313	206	63	0.86,1.11	0.86,1.11	NOUN
bjmsr-313	206	64	)	)	PUNCT
bjmsr-313	206	65	(	(	PUNCT
bjmsr-313	206	66	0.66,0.91	0.66,0.91	NUM
bjmsr-313	206	67	)	)	PUNCT
bjmsr-313	206	68	500	500	NUM
bjmsr-313	206	69	13.980	13.980	NUM
bjmsr-313	206	70	8.446	8.446	NUM
bjmsr-313	206	71	5.970	5.970	NUM
bjmsr-313	206	72	5.210	5.210	NUM
bjmsr-313	206	73	(	(	PUNCT
bjmsr-313	206	74	11.76,16.30	11.76,16.30	NUM
bjmsr-313	206	75	)	)	PUNCT
bjmsr-313	206	76	(	(	PUNCT
bjmsr-313	206	77	7.88,9.99	7.88,9.99	NUM
bjmsr-313	206	78	)	)	PUNCT
bjmsr-313	206	79	(	(	PUNCT
bjmsr-313	206	80	4.81,6.92	4.81,6.92	NOUN
bjmsr-313	206	81	)	)	PUNCT
bjmsr-313	206	82	(	(	PUNCT
bjmsr-313	206	83	4.43,5.78	4.43,5.78	NOUN
bjmsr-313	206	84	)	)	PUNCT
bjmsr-313	206	85	1000	1000	NUM
bjmsr-313	206	86	62.624	62.624	NUM
bjmsr-313	206	87	23.506	23.506	NUM
bjmsr-313	206	88	+	+	CCONJ
bjmsr-313	206	89	11.144	11.144	NUM
bjmsr-313	206	90	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	X
bjmsr-313	206	91	bangladesh	bangladesh	PROPN
bjmsr-313	206	92	journal	journal	NOUN
bjmsr-313	206	93	of	of	ADP
bjmsr-313	206	94	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	206	95	scientific	scientific	ADJ
bjmsr-313	206	96	research	research	NOUN
bjmsr-313	206	97	vol	vol	NOUN
bjmsr-313	206	98	.	.	PROPN
bjmsr-313	206	99	1	1	NUM
bjmsr-313	206	100	,	,	PUNCT
bjmsr-313	206	101	no	no	INTJ
bjmsr-313	206	102	.	.	NOUN
bjmsr-313	206	103	1	1	NUM
bjmsr-313	206	104	;	;	PUNCT
bjmsr-313	206	105	2019	2019	NUM
bjmsr-313	206	106	38	38	NUM
bjmsr-313	206	107	(	(	PUNCT
bjmsr-313	206	108	22.23,193.19	22.23,193.19	NUM
bjmsr-313	206	109	)	)	PUNCT
bjmsr-313	206	110	(	(	PUNCT
bjmsr-313	206	111	20.26,26.93	20.26,26.93	NUM
bjmsr-313	206	112	)	)	PUNCT
bjmsr-313	206	113	+	+	CCONJ
bjmsr-313	206	114	(	(	PUNCT
bjmsr-313	206	115	9.08,13.14	9.08,13.14	NUM
bjmsr-313	206	116	)	)	PUNCT
bjmsr-313	206	117	2000	2000	NUM
bjmsr-313	206	118	109.268	109.268	NUM
bjmsr-313	206	119	62.756	62.756	NUM
bjmsr-313	206	120	+	+	CCONJ
bjmsr-313	206	121	+	+	CCONJ
bjmsr-313	206	122	(	(	PUNCT
bjmsr-313	206	123	72.20,278.27	72.20,278.27	NUM
bjmsr-313	206	124	)	)	PUNCT
bjmsr-313	206	125	(	(	PUNCT
bjmsr-313	206	126	59.43,65.66	59.43,65.66	NUM
bjmsr-313	206	127	)	)	PUNCT
bjmsr-313	206	128	+	+	PUNCT
bjmsr-313	206	129	+	+	NUM
bjmsr-313	206	130	5000	5000	NUM
bjmsr-313	206	131	409.438	409.438	NUM
bjmsr-313	206	132	284.618	284.618	NUM
bjmsr-313	206	133	+	+	CCONJ
bjmsr-313	206	134	+	+	CCONJ
bjmsr-313	206	135	(	(	PUNCT
bjmsr-313	206	136	154.64,1010.92	154.64,1010.92	NUM
bjmsr-313	206	137	)	)	PUNCT
bjmsr-313	206	138	(	(	PUNCT
bjmsr-313	206	139	240.02,322.47	240.02,322.47	X
bjmsr-313	206	140	)	)	PUNCT
bjmsr-313	206	141	+	+	PUNCT
bjmsr-313	207	1	+	+	PUNCT
bjmsr-313	207	2	10000	10000	NUM
bjmsr-313	207	3	679.540	679.540	NUM
bjmsr-313	207	4	967.794	967.794	NUM
bjmsr-313	207	5	+	+	CCONJ
bjmsr-313	207	6	+	+	CCONJ
bjmsr-313	207	7	(	(	PUNCT
bjmsr-313	207	8	283.04,1076.04	283.04,1076.04	NUM
bjmsr-313	207	9	)	)	PUNCT
bjmsr-313	207	10	(	(	PUNCT
bjmsr-313	207	11	770.79,1064.43	770.79,1064.43	NUM
bjmsr-313	207	12	)	)	PUNCT
bjmsr-313	207	13	+	+	PUNCT
bjmsr-313	207	14	+	+	CCONJ
bjmsr-313	207	15	+	+	CCONJ
bjmsr-313	207	16	failed	fail	VERB
bjmsr-313	207	17	to	to	PART
bjmsr-313	207	18	compute	compute	VERB
bjmsr-313	207	19	correct	correct	ADJ
bjmsr-313	207	20	answers	answer	NOUN
bjmsr-313	207	21	.	.	PUNCT
bjmsr-313	208	1	see	see	VERB
bjmsr-313	208	2	table	table	NOUN
bjmsr-313	208	3	7	7	NUM
bjmsr-313	208	4	for	for	ADP
bjmsr-313	208	5	abbreviations	abbreviation	NOUN
bjmsr-313	208	6	.	.	PUNCT
bjmsr-313	209	1	5	5	X
bjmsr-313	209	2	.	.	X
bjmsr-313	209	3	conclusions	conclusion	NOUN
bjmsr-313	209	4	since	since	SCONJ
bjmsr-313	209	5	in	in	ADP
bjmsr-313	209	6	computational	computational	ADJ
bjmsr-313	209	7	algorithms	algorithm	NOUN
bjmsr-313	209	8	,	,	PUNCT
bjmsr-313	209	9	accuracy	accuracy	NOUN
bjmsr-313	209	10	is	be	AUX
bjmsr-313	209	11	more	more	ADV
bjmsr-313	209	12	important	important	ADJ
bjmsr-313	209	13	than	than	ADP
bjmsr-313	209	14	efficiency	efficiency	NOUN
bjmsr-313	209	15	,	,	PUNCT
bjmsr-313	209	16	those	those	DET
bjmsr-313	209	17	l1	l1	PROPN
bjmsr-313	209	18	norm	norm	NOUN
bjmsr-313	209	19	algorithms	algorithm	NOUN
bjmsr-313	209	20	should	should	AUX
bjmsr-313	209	21	be	be	AUX
bjmsr-313	209	22	selected	select	VERB
bjmsr-313	209	23	which	which	PRON
bjmsr-313	209	24	produce	produce	VERB
bjmsr-313	209	25	correct	correct	ADJ
bjmsr-313	209	26	solutions	solution	NOUN
bjmsr-313	209	27	,	,	PUNCT
bjmsr-313	209	28	and	and	CCONJ
bjmsr-313	209	29	among	among	ADP
bjmsr-313	209	30	them	they	PRON
bjmsr-313	209	31	,	,	PUNCT
bjmsr-313	209	32	the	the	DET
bjmsr-313	209	33	fastest	fast	ADJ
bjmsr-313	209	34	one	one	NOUN
bjmsr-313	209	35	should	should	AUX
bjmsr-313	209	36	be	be	AUX
bjmsr-313	209	37	selected	select	VERB
bjmsr-313	209	38	.	.	PUNCT
bjmsr-313	210	1	algorithm	algorithm	PROPN
bjmsr-313	210	2	2	2	NUM
bjmsr-313	210	3	and	and	CCONJ
bjmsr-313	210	4	algorithm	algorithm	NOUN
bjmsr-313	210	5	of	of	ADP
bjmsr-313	210	6	josvanger	josvanger	NOUN
bjmsr-313	210	7	and	and	CCONJ
bjmsr-313	210	8	sposito	sposito	X
bjmsr-313	210	9	(	(	PUNCT
bjmsr-313	210	10	1983	1983	NUM
bjmsr-313	210	11	)	)	PUNCT
bjmsr-313	210	12	both	both	PRON
bjmsr-313	210	13	computed	compute	VERB
bjmsr-313	210	14	correct	correct	ADJ
bjmsr-313	210	15	answers	answer	NOUN
bjmsr-313	210	16	for	for	ADP
bjmsr-313	210	17	two	two	NUM
bjmsr-313	210	18	parameters	parameter	NOUN
bjmsr-313	210	19	linear	linear	PROPN
bjmsr-313	210	20	l1	l1	PROPN
bjmsr-313	210	21	norm	norm	PROPN
bjmsr-313	210	22	regression	regression	PROPN
bjmsr-313	210	23	model	model	NOUN
bjmsr-313	210	24	.	.	PUNCT
bjmsr-313	211	1	algorithm	algorithm	PROPN
bjmsr-313	211	2	2	2	NUM
bjmsr-313	211	3	,	,	PUNCT
bjmsr-313	211	4	which	which	PRON
bjmsr-313	211	5	is	be	AUX
bjmsr-313	211	6	faster	fast	ADJ
bjmsr-313	211	7	than	than	SCONJ
bjmsr-313	211	8	js	js	PROPN
bjmsr-313	211	9	introduced	introduce	VERB
bjmsr-313	211	10	for	for	ADP
bjmsr-313	211	11	applied	apply	VERB
bjmsr-313	211	12	works	work	NOUN
bjmsr-313	211	13	.	.	PUNCT
bjmsr-313	212	1	for	for	ADP
bjmsr-313	212	2	multiple	multiple	ADJ
bjmsr-313	212	3	regression	regression	NOUN
bjmsr-313	212	4	,	,	PUNCT
bjmsr-313	212	5	bs	bs	PROPN
bjmsr-313	212	6	and	and	CCONJ
bjmsr-313	212	7	afk	afk	PROPN
bjmsr-313	212	8	algorithms	algorithm	NOUN
bjmsr-313	212	9	failed	fail	VERB
bjmsr-313	212	10	to	to	PART
bjmsr-313	212	11	compute	compute	VERB
bjmsr-313	212	12	correct	correct	ADJ
bjmsr-313	212	13	answers	answer	NOUN
bjmsr-313	212	14	in	in	ADP
bjmsr-313	212	15	larger	large	ADJ
bjmsr-313	212	16	models	model	NOUN
bjmsr-313	212	17	.	.	PUNCT
bjmsr-313	213	1	as	as	SCONJ
bjmsr-313	213	2	stated	state	VERB
bjmsr-313	213	3	by	by	ADP
bjmsr-313	213	4	gentle	gentle	ADJ
bjmsr-313	213	5	and	and	CCONJ
bjmsr-313	213	6	narula	narula	NOUN
bjmsr-313	213	7	and	and	CCONJ
bjmsr-313	213	8	sposito	sposito	X
bjmsr-313	213	9	(	(	PUNCT
bjmsr-313	213	10	1987	1987	NUM
bjmsr-313	213	11	)	)	PUNCT
bjmsr-313	213	12	,	,	PUNCT
bjmsr-313	213	13	because	because	SCONJ
bjmsr-313	213	14	of	of	ADP
bjmsr-313	213	15	the	the	DET
bjmsr-313	213	16	accumulated	accumulate	VERB
bjmsr-313	213	17	roundoff	roundoff	NOUN
bjmsr-313	213	18	error	error	NOUN
bjmsr-313	213	19	,	,	PUNCT
bjmsr-313	213	20	algorithm	algorithm	NOUN
bjmsr-313	213	21	of	of	ADP
bjmsr-313	213	22	bloomfield	bloomfield	PROPN
bjmsr-313	213	23	and	and	CCONJ
bjmsr-313	213	24	steiger	steiger	PROPN
bjmsr-313	213	25	(	(	PUNCT
bjmsr-313	213	26	1980	1980	NUM
bjmsr-313	213	27	)	)	PUNCT
bjmsr-313	213	28	was	be	AUX
bjmsr-313	213	29	not	not	PART
bjmsr-313	213	30	usable	usable	ADJ
bjmsr-313	213	31	in	in	ADP
bjmsr-313	213	32	larger	large	ADJ
bjmsr-313	213	33	size	size	NOUN
bjmsr-313	213	34	problems	problem	NOUN
bjmsr-313	213	35	.	.	PUNCT
bjmsr-313	214	1	coding	code	VERB
bjmsr-313	214	2	to	to	PART
bjmsr-313	214	3	avoid	avoid	VERB
bjmsr-313	214	4	rounding	round	VERB
bjmsr-313	214	5	problems	problem	NOUN
bjmsr-313	214	6	often	often	ADV
bjmsr-313	214	7	increase	increase	VERB
bjmsr-313	214	8	the	the	DET
bjmsr-313	214	9	execution	execution	NOUN
bjmsr-313	214	10	time	time	NOUN
bjmsr-313	214	11	,	,	PUNCT
bjmsr-313	214	12	so	so	CCONJ
bjmsr-313	214	13	it	it	PRON
bjmsr-313	214	14	is	be	AUX
bjmsr-313	214	15	not	not	PART
bjmsr-313	214	16	clear	clear	ADJ
bjmsr-313	214	17	what	what	PRON
bjmsr-313	214	18	would	would	AUX
bjmsr-313	214	19	happen	happen	VERB
bjmsr-313	214	20	to	to	ADP
bjmsr-313	214	21	the	the	DET
bjmsr-313	214	22	relative	relative	ADJ
bjmsr-313	214	23	efficiency	efficiency	NOUN
bjmsr-313	214	24	if	if	SCONJ
bjmsr-313	214	25	the	the	DET
bjmsr-313	214	26	bs	bs	PROPN
bjmsr-313	214	27	code	code	NOUN
bjmsr-313	214	28	is	be	AUX
bjmsr-313	214	29	modified	modify	VERB
bjmsr-313	214	30	.	.	PUNCT
bjmsr-313	215	1	this	this	PRON
bjmsr-313	215	2	is	be	AUX
bjmsr-313	215	3	also	also	ADV
bjmsr-313	215	4	the	the	DET
bjmsr-313	215	5	case	case	NOUN
bjmsr-313	215	6	for	for	ADP
bjmsr-313	215	7	the	the	DET
bjmsr-313	215	8	algorithm	algorithm	NOUN
bjmsr-313	215	9	of	of	ADP
bjmsr-313	215	10	armstrong	armstrong	PROPN
bjmsr-313	215	11	and	and	CCONJ
bjmsr-313	215	12	frome	frome	PROPN
bjmsr-313	215	13	and	and	CCONJ
bjmsr-313	215	14	kung	kung	PROPN
bjmsr-313	215	15	(	(	PUNCT
bjmsr-313	215	16	1979	1979	NUM
bjmsr-313	215	17	)	)	PUNCT
bjmsr-313	215	18	,	,	PUNCT
bjmsr-313	215	19	though	though	SCONJ
bjmsr-313	215	20	it	it	PRON
bjmsr-313	215	21	is	be	AUX
bjmsr-313	215	22	less	less	ADV
bjmsr-313	215	23	sensitive	sensitive	ADJ
bjmsr-313	215	24	to	to	ADP
bjmsr-313	215	25	rounding	round	VERB
bjmsr-313	215	26	error	error	NOUN
bjmsr-313	215	27	than	than	ADP
bjmsr-313	215	28	bs	bs	PROPN
bjmsr-313	215	29	algorithm	algorithm	NOUN
bjmsr-313	215	30	.	.	PUNCT
bjmsr-313	216	1	however	however	ADV
bjmsr-313	216	2	,	,	PUNCT
bjmsr-313	216	3	from	from	ADP
bjmsr-313	216	4	the	the	DET
bjmsr-313	216	5	previous	previous	ADJ
bjmsr-313	216	6	tables	table	NOUN
bjmsr-313	216	7	,	,	PUNCT
bjmsr-313	216	8	it	it	PRON
bjmsr-313	216	9	may	may	AUX
bjmsr-313	216	10	be	be	AUX
bjmsr-313	216	11	concluded	conclude	VERB
bjmsr-313	216	12	that	that	SCONJ
bjmsr-313	216	13	algorithm	algorithm	NOUN
bjmsr-313	216	14	4	4	NUM
bjmsr-313	216	15	is	be	AUX
bjmsr-313	216	16	more	more	ADV
bjmsr-313	216	17	appropriate	appropriate	ADJ
bjmsr-313	216	18	for	for	ADP
bjmsr-313	216	19	models	model	NOUN
bjmsr-313	216	20	with	with	ADP
bjmsr-313	216	21	less	less	ADJ
bjmsr-313	216	22	than	than	ADP
bjmsr-313	216	23	ten	ten	NUM
bjmsr-313	216	24	parameters	parameter	NOUN
bjmsr-313	216	25	and	and	CCONJ
bjmsr-313	216	26	algorithm	algorithm	NOUN
bjmsr-313	216	27	of	of	ADP
bjmsr-313	216	28	barrodale	barrodale	NOUN
bjmsr-313	216	29	and	and	CCONJ
bjmsr-313	216	30	roberts	roberts	PROPN
bjmsr-313	216	31	(	(	PUNCT
bjmsr-313	216	32	1973,74	1973,74	NUM
bjmsr-313	216	33	)	)	PUNCT
bjmsr-313	216	34	for	for	ADP
bjmsr-313	216	35	the	the	DET
bjmsr-313	216	36	ten	ten	NUM
bjmsr-313	216	37	parameters	parameter	NOUN
bjmsr-313	216	38	model	model	NOUN
bjmsr-313	216	39	.	.	PUNCT
bjmsr-313	217	1	this	this	DET
bjmsr-313	217	2	last	last	ADJ
bjmsr-313	217	3	conclusion	conclusion	NOUN
bjmsr-313	217	4	is	be	AUX
bjmsr-313	217	5	not	not	PART
bjmsr-313	217	6	very	very	ADV
bjmsr-313	217	7	constructive	constructive	ADJ
bjmsr-313	217	8	,	,	PUNCT
bjmsr-313	217	9	because	because	SCONJ
bjmsr-313	217	10	in	in	ADP
bjmsr-313	217	11	the	the	DET
bjmsr-313	217	12	case	case	NOUN
bjmsr-313	217	13	of	of	ADP
bjmsr-313	217	14	ten	ten	NUM
bjmsr-313	217	15	parameters	parameter	NOUN
bjmsr-313	217	16	model	model	NOUN
bjmsr-313	217	17	with	with	ADP
bjmsr-313	217	18	10000	10000	NUM
bjmsr-313	217	19	observations	observation	NOUN
bjmsr-313	217	20	algorithm	algorithm	NOUN
bjmsr-313	217	21	4	4	NUM
bjmsr-313	217	22	is	be	AUX
bjmsr-313	217	23	highly	highly	ADV
bjmsr-313	217	24	superior	superior	ADJ
bjmsr-313	217	25	to	to	ADP
bjmsr-313	217	26	br	br	PROPN
bjmsr-313	217	27	.	.	PUNCT
bjmsr-313	218	1	however	however	ADV
bjmsr-313	218	2	,	,	PUNCT
bjmsr-313	218	3	since	since	SCONJ
bjmsr-313	218	4	in	in	ADP
bjmsr-313	218	5	applied	applied	ADJ
bjmsr-313	218	6	work	work	NOUN
bjmsr-313	218	7	,	,	PUNCT
bjmsr-313	218	8	we	we	PRON
bjmsr-313	218	9	are	be	AUX
bjmsr-313	218	10	not	not	PART
bjmsr-313	218	11	always	always	ADV
bjmsr-313	218	12	confronted	confront	VERB
bjmsr-313	218	13	with	with	ADP
bjmsr-313	218	14	a	a	DET
bjmsr-313	218	15	very	very	ADV
bjmsr-313	218	16	large	large	ADJ
bjmsr-313	218	17	amount	amount	NOUN
bjmsr-313	218	18	of	of	ADP
bjmsr-313	218	19	data	datum	NOUN
bjmsr-313	218	20	and	and	CCONJ
bjmsr-313	218	21	parameters	parameter	NOUN
bjmsr-313	218	22	,	,	PUNCT
bjmsr-313	218	23	this	this	DET
bjmsr-313	218	24	conclusion	conclusion	NOUN
bjmsr-313	218	25	is	be	AUX
bjmsr-313	218	26	poor	poor	ADJ
bjmsr-313	218	27	in	in	ADP
bjmsr-313	218	28	an	an	DET
bjmsr-313	218	29	operational	operational	ADJ
bjmsr-313	218	30	sense	sense	NOUN
bjmsr-313	218	31	.	.	PUNCT
bjmsr-313	219	1	references	reference	NOUN
bjmsr-313	219	2	n.n	n.n	PROPN
bjmsr-313	219	3	.	.	PROPN
bjmsr-313	219	4	abdelmalek	abdelmalek	PROPN
bjmsr-313	219	5	(	(	PUNCT
bjmsr-313	219	6	1980a	1980a	NUM
bjmsr-313	219	7	)	)	PUNCT
bjmsr-313	219	8	l1	l1	PROPN
bjmsr-313	219	9	solution	solution	NOUN
bjmsr-313	219	10	of	of	ADP
bjmsr-313	219	11	overdetermined	overdetermine	VERB
bjmsr-313	219	12	systems	system	NOUN
bjmsr-313	219	13	of	of	ADP
bjmsr-313	219	14	linear	linear	PROPN
bjmsr-313	219	15	equations	equation	NOUN
bjmsr-313	219	16	.	.	PUNCT
bjmsr-313	220	1	acm	acm	PROPN
bjmsr-313	220	2	trans	trans	PROPN
bjmsr-313	220	3	.	.	PROPN
bjmsr-313	221	1	math	math	PROPN
bjmsr-313	221	2	.	.	PUNCT
bjmsr-313	222	1	soft	soft	ADJ
bjmsr-313	222	2	.	.	PUNCT
bjmsr-313	223	1	,	,	PUNCT
bjmsr-313	223	2	6	6	NUM
bjmsr-313	223	3	,	,	PUNCT
bjmsr-313	223	4	220	220	NUM
bjmsr-313	223	5	-	-	SYM
bjmsr-313	223	6	227	227	NUM
bjmsr-313	223	7	.	.	PUNCT
bjmsr-313	224	1	n.n	n.n	PROPN
bjmsr-313	224	2	.	.	PROPN
bjmsr-313	224	3	abdelmalek	abdelmalek	PROPN
bjmsr-313	224	4	(	(	PUNCT
bjmsr-313	224	5	1980b	1980b	NUM
bjmsr-313	224	6	)	)	PUNCT
bjmsr-313	224	7	a	a	DET
bjmsr-313	224	8	fortran	fortran	NOUN
bjmsr-313	224	9	subroutine	subroutine	NOUN
bjmsr-313	224	10	for	for	ADP
bjmsr-313	224	11	the	the	DET
bjmsr-313	224	12	l1	l1	PROPN
bjmsr-313	224	13	solution	solution	NOUN
bjmsr-313	224	14	of	of	ADP
bjmsr-313	224	15	overdetermined	overdetermine	VERB
bjmsr-313	224	16	systems	system	NOUN
bjmsr-313	224	17	of	of	ADP
bjmsr-313	224	18	linear	linear	PROPN
bjmsr-313	224	19	equations	equation	NOUN
bjmsr-313	224	20	.	.	PUNCT
bjmsr-313	225	1	acm	acm	PROPN
bjmsr-313	225	2	trans	trans	PROPN
bjmsr-313	225	3	.	.	PROPN
bjmsr-313	226	1	math	math	PROPN
bjmsr-313	226	2	.	.	PUNCT
bjmsr-313	227	1	soft	soft	ADJ
bjmsr-313	227	2	.	.	PUNCT
bjmsr-313	228	1	,	,	PUNCT
bjmsr-313	228	2	6	6	NUM
bjmsr-313	228	3	,	,	PUNCT
bjmsr-313	228	4	228	228	NUM
bjmsr-313	228	5	-	-	SYM
bjmsr-313	228	6	30	30	NUM
bjmsr-313	228	7	.	.	PUNCT
bjmsr-313	229	1	d.	d.	PROPN
bjmsr-313	229	2	anderson	anderson	PROPN
bjmsr-313	229	3	,	,	PUNCT
bjmsr-313	229	4	w.l	w.l	PROPN
bjmsr-313	229	5	.	.	PROPN
bjmsr-313	229	6	steiger	steiger	PROPN
bjmsr-313	229	7	(	(	PUNCT
bjmsr-313	229	8	1982	1982	NUM
bjmsr-313	229	9	)	)	PUNCT
bjmsr-313	229	10	a	a	DET
bjmsr-313	229	11	comparison	comparison	NOUN
bjmsr-313	229	12	of	of	ADP
bjmsr-313	229	13	methods	method	NOUN
bjmsr-313	229	14	for	for	ADP
bjmsr-313	229	15	discrete	discrete	ADJ
bjmsr-313	229	16	l1	l1	PROPN
bjmsr-313	229	17	curve	curve	NOUN
bjmsr-313	229	18	-	-	PUNCT
bjmsr-313	229	19	fitting	fitting	ADJ
bjmsr-313	229	20	.	.	PUNCT
bjmsr-313	230	1	tech	tech	NOUN
bjmsr-313	230	2	.	.	PUNCT
bjmsr-313	231	1	rep	rep	PROPN
bjmsr-313	231	2	.	.	PROPN
bjmsr-313	231	3	dcs	dcs	PROPN
bjmsr-313	231	4	-	-	PROPN
bjmsr-313	231	5	tr-96	tr-96	NOUN
bjmsr-313	231	6	.	.	PUNCT
bjmsr-313	232	1	dept	dept	PROPN
bjmsr-313	232	2	.	.	PROPN
bjmsr-313	232	3	of	of	ADP
bjmsr-313	232	4	comp	comp	PROPN
bjmsr-313	232	5	.	.	PUNCT
bjmsr-313	233	1	sci	sci	PROPN
bjmsr-313	233	2	.	.	PROPN
bjmsr-313	233	3	,	,	PUNCT
bjmsr-313	233	4	hill	hill	NOUN
bjmsr-313	233	5	center	center	PROPN
bjmsr-313	233	6	for	for	ADP
bjmsr-313	233	7	the	the	DET
bjmsr-313	233	8	math	math	NOUN
bjmsr-313	233	9	.	.	PUNCT
bjmsr-313	234	1	sci	sci	PROPN
bjmsr-313	234	2	.	.	PROPN
bjmsr-313	234	3	busch	busch	PROPN
bjmsr-313	234	4	campus	campus	PROPN
bjmsr-313	234	5	,	,	PUNCT
bjmsr-313	234	6	new	new	PROPN
bjmsr-313	234	7	brunswick	brunswick	PROPN
bjmsr-313	234	8	,	,	PUNCT
bjmsr-313	234	9	n.j	n.j	PROPN
bjmsr-313	234	10	.	.	PROPN
bjmsr-313	234	11	r.d	r.d	PROPN
bjmsr-313	234	12	.	.	PROPN
bjmsr-313	234	13	armstrong	armstrong	PROPN
bjmsr-313	234	14	,	,	PUNCT
bjmsr-313	234	15	e.l	e.l	PROPN
bjmsr-313	234	16	.	.	PROPN
bjmsr-313	234	17	frome	frome	PROPN
bjmsr-313	234	18	(	(	PUNCT
bjmsr-313	234	19	1976a	1976a	NUM
bjmsr-313	234	20	)	)	PUNCT
bjmsr-313	234	21	a	a	DET
bjmsr-313	234	22	comparison	comparison	NOUN
bjmsr-313	234	23	of	of	ADP
bjmsr-313	234	24	two	two	NUM
bjmsr-313	234	25	algorithms	algorithm	NOUN
bjmsr-313	234	26	for	for	ADP
bjmsr-313	234	27	absolute	absolute	ADJ
bjmsr-313	234	28	deviation	deviation	NOUN
bjmsr-313	234	29	curve	curve	NOUN
bjmsr-313	234	30	fitting	fitting	ADJ
bjmsr-313	234	31	.	.	PUNCT
bjmsr-313	235	1	jasa	jasa	PROPN
bjmsr-313	235	2	,	,	PUNCT
bjmsr-313	235	3	71	71	NUM
bjmsr-313	235	4	,	,	PUNCT
bjmsr-313	235	5	328	328	NUM
bjmsr-313	235	6	-	-	SYM
bjmsr-313	235	7	330	330	NUM
bjmsr-313	235	8	.	.	PUNCT
bjmsr-313	236	1	r.d	r.d	PROPN
bjmsr-313	236	2	.	.	PROPN
bjmsr-313	237	1	armstrong	armstrong	PROPN
bjmsr-313	237	2	,	,	PUNCT
bjmsr-313	237	3	e.l	e.l	PROPN
bjmsr-313	237	4	.	.	PROPN
bjmsr-313	237	5	frome	frome	PROPN
bjmsr-313	237	6	,	,	PUNCT
bjmsr-313	237	7	d.s	d.s	PROPN
bjmsr-313	237	8	.	.	PROPN
bjmsr-313	237	9	kung	kung	PROPN
bjmsr-313	237	10	(	(	PUNCT
bjmsr-313	237	11	1979	1979	NUM
bjmsr-313	237	12	)	)	PUNCT
bjmsr-313	237	13	a	a	DET
bjmsr-313	237	14	revised	revise	VERB
bjmsr-313	237	15	simplex	simplex	NOUN
bjmsr-313	237	16	algorithm	algorithm	NOUN
bjmsr-313	237	17	for	for	ADP
bjmsr-313	237	18	the	the	DET
bjmsr-313	237	19	absolute	absolute	ADJ
bjmsr-313	237	20	deviation	deviation	NOUN
bjmsr-313	237	21	curve	curve	NOUN
bjmsr-313	237	22	fitting	fitting	ADJ
bjmsr-313	237	23	problem	problem	NOUN
bjmsr-313	237	24	.	.	PUNCT
bjmsr-313	238	1	commun	commun	PROPN
bjmsr-313	238	2	.	.	PUNCT
bjmsr-313	239	1	stat	stat	PROPN
bjmsr-313	239	2	.	.	PUNCT
bjmsr-313	240	1	b8	b8	PROPN
bjmsr-313	240	2	,	,	PUNCT
bjmsr-313	240	3	175	175	NUM
bjmsr-313	240	4	-	-	SYM
bjmsr-313	240	5	190	190	NUM
bjmsr-313	240	6	.	.	PUNCT
bjmsr-313	241	1	r.d	r.d	PROPN
bjmsr-313	241	2	.	.	PROPN
bjmsr-313	242	1	armstrong	armstrong	PROPN
bjmsr-313	242	2	,	,	PUNCT
bjmsr-313	242	3	d.s	d.s	PROPN
bjmsr-313	242	4	.	.	PROPN
bjmsr-313	242	5	kung	kung	PROPN
bjmsr-313	242	6	(	(	PUNCT
bjmsr-313	242	7	1978	1978	NUM
bjmsr-313	242	8	)	)	PUNCT
bjmsr-313	242	9	as132	as132	PROPN
bjmsr-313	242	10	:	:	PUNCT
bjmsr-313	242	11	least	least	ADJ
bjmsr-313	242	12	absolute	absolute	ADJ
bjmsr-313	242	13	value	value	NOUN
bjmsr-313	242	14	estimates	estimate	NOUN
bjmsr-313	242	15	for	for	ADP
bjmsr-313	242	16	a	a	DET
bjmsr-313	242	17	simple	simple	ADJ
bjmsr-313	242	18	linear	linear	NOUN
bjmsr-313	242	19	regression	regression	NOUN
bjmsr-313	242	20	problem	problem	NOUN
bjmsr-313	242	21	.	.	PUNCT
bjmsr-313	243	1	appl	appl	PROPN
bjmsr-313	243	2	.	.	PUNCT
bjmsr-313	244	1	stat	stat	PROPN
bjmsr-313	244	2	.	.	PUNCT
bjmsr-313	244	3	,	,	PUNCT
bjmsr-313	244	4	27	27	NUM
bjmsr-313	244	5	,	,	PUNCT
bjmsr-313	244	6	363	363	NUM
bjmsr-313	244	7	-	-	SYM
bjmsr-313	244	8	366	366	NUM
bjmsr-313	244	9	.	.	PUNCT
bjmsr-313	245	1	barrodale	barrodale	NOUN
bjmsr-313	245	2	,	,	PUNCT
bjmsr-313	245	3	f.d.k	f.d.k	NOUN
bjmsr-313	245	4	.	.	PUNCT
bjmsr-313	246	1	roberts	roberts	PROPN
bjmsr-313	246	2	(	(	PUNCT
bjmsr-313	246	3	1973	1973	NUM
bjmsr-313	246	4	)	)	PUNCT
bjmsr-313	246	5	an	an	DET
bjmsr-313	246	6	improved	improved	ADJ
bjmsr-313	246	7	algorithm	algorithm	NOUN
bjmsr-313	246	8	for	for	ADP
bjmsr-313	246	9	discrete	discrete	ADJ
bjmsr-313	246	10	l1	l1	PROPN
bjmsr-313	246	11	linear	linear	PROPN
bjmsr-313	246	12	approximation	approximation	NOUN
bjmsr-313	246	13	.	.	PUNCT
bjmsr-313	247	1	siam	siam	PROPN
bjmsr-313	247	2	j.	j.	PROPN
bjmsr-313	247	3	numer	numer	PROPN
bjmsr-313	247	4	.	.	PUNCT
bjmsr-313	248	1	anal	anal	PROPN
bjmsr-313	248	2	.	.	PROPN
bjmsr-313	248	3	,	,	PUNCT
bjmsr-313	248	4	10	10	NUM
bjmsr-313	248	5	,	,	PUNCT
bjmsr-313	248	6	839	839	NUM
bjmsr-313	248	7	-	-	SYM
bjmsr-313	248	8	848	848	NUM
bjmsr-313	248	9	.	.	PUNCT
bjmsr-313	249	1	barrodale	barrodale	NOUN
bjmsr-313	249	2	,	,	PUNCT
bjmsr-313	249	3	f.d.k	f.d.k	NOUN
bjmsr-313	249	4	.	.	PUNCT
bjmsr-313	250	1	roberts	roberts	PROPN
bjmsr-313	250	2	(	(	PUNCT
bjmsr-313	250	3	1974	1974	NUM
bjmsr-313	250	4	)	)	PUNCT
bjmsr-313	250	5	algorithm	algorithm	NOUN
bjmsr-313	250	6	478	478	NUM
bjmsr-313	250	7	:	:	PUNCT
bjmsr-313	250	8	solution	solution	NOUN
bjmsr-313	250	9	of	of	ADP
bjmsr-313	250	10	an	an	DET
bjmsr-313	250	11	overdetermined	overdetermine	VERB
bjmsr-313	250	12	system	system	NOUN
bjmsr-313	250	13	of	of	ADP
bjmsr-313	250	14	equations	equation	NOUN
bjmsr-313	250	15	in	in	ADP
bjmsr-313	250	16	the	the	DET
bjmsr-313	250	17	l1	l1	PROPN
bjmsr-313	250	18	norm	norm	NOUN
bjmsr-313	250	19	.	.	PUNCT
bjmsr-313	251	1	commun	commun	PROPN
bjmsr-313	251	2	.	.	PUNCT
bjmsr-313	252	1	acm	acm	PROPN
bjmsr-313	252	2	,	,	PUNCT
bjmsr-313	252	3	17	17	NUM
bjmsr-313	252	4	,	,	PUNCT
bjmsr-313	252	5	319	319	NUM
bjmsr-313	252	6	-	-	SYM
bjmsr-313	252	7	320	320	NUM
bjmsr-313	252	8	.	.	PUNCT
bjmsr-313	253	1	r.h	r.h	PROPN
bjmsr-313	253	2	.	.	PROPN
bjmsr-313	253	3	bartels	bartels	PROPN
bjmsr-313	253	4	,	,	PUNCT
bjmsr-313	253	5	a.r	a.r	PROPN
bjmsr-313	253	6	.	.	PROPN
bjmsr-313	253	7	conn	conn	PROPN
bjmsr-313	253	8	,	,	PUNCT
bjmsr-313	253	9	j.	j.	PROPN
bjmsr-313	253	10	sinclair	sinclair	PROPN
bjmsr-313	253	11	(	(	PUNCT
bjmsr-313	253	12	1978	1978	NUM
bjmsr-313	253	13	)	)	PUNCT
bjmsr-313	253	14	minimization	minimization	NOUN
bjmsr-313	253	15	technique	technique	NOUN
bjmsr-313	253	16	for	for	ADP
bjmsr-313	253	17	piecewise	piecewise	NOUN
bjmsr-313	253	18	differentiable	differentiable	ADJ
bjmsr-313	253	19	functions	function	NOUN
bjmsr-313	253	20	:	:	PUNCT
bjmsr-313	253	21	the	the	DET
bjmsr-313	253	22	l1	l1	PROPN
bjmsr-313	253	23	solution	solution	NOUN
bjmsr-313	253	24	to	to	ADP
bjmsr-313	253	25	an	an	DET
bjmsr-313	253	26	overdetermined	overdetermine	VERB
bjmsr-313	253	27	linear	linear	NOUN
bjmsr-313	253	28	system	system	NOUN
bjmsr-313	253	29	.	.	PUNCT
bjmsr-313	254	1	siam	siam	PROPN
bjmsr-313	254	2	j.	j.	PROPN
bjmsr-313	254	3	numer	numer	PROPN
bjmsr-313	254	4	.	.	PUNCT
bjmsr-313	255	1	anal	anal	PROPN
bjmsr-313	255	2	.	.	PUNCT
bjmsr-313	256	1	15	15	NUM
bjmsr-313	256	2	,	,	PUNCT
bjmsr-313	256	3	224	224	NUM
bjmsr-313	256	4	-	-	SYM
bjmsr-313	256	5	241	241	NUM
bjmsr-313	256	6	.	.	PUNCT
bjmsr-313	257	1	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	PROPN
bjmsr-313	257	2	bangladesh	bangladesh	PROPN
bjmsr-313	257	3	journal	journal	PROPN
bjmsr-313	257	4	of	of	ADP
bjmsr-313	257	5	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	257	6	scientific	scientific	ADJ
bjmsr-313	257	7	research	research	NOUN
bjmsr-313	257	8	vol	vol	NOUN
bjmsr-313	257	9	.	.	PROPN
bjmsr-313	258	1	1	1	NUM
bjmsr-313	258	2	,	,	PUNCT
bjmsr-313	258	3	no	no	INTJ
bjmsr-313	258	4	.	.	NOUN
bjmsr-313	258	5	1	1	NUM
bjmsr-313	258	6	;	;	PUNCT
bjmsr-313	258	7	2019	2019	NUM
bjmsr-313	258	8	39	39	NUM
bjmsr-313	258	9	bijan	bijan	NOUN
bjmsr-313	258	10	bidabad	bidabad	NOUN
bjmsr-313	258	11	(	(	PUNCT
bjmsr-313	258	12	1987a	1987a	NUM
bjmsr-313	258	13	)	)	PUNCT
bjmsr-313	258	14	least	least	ADJ
bjmsr-313	258	15	absolute	absolute	ADJ
bjmsr-313	258	16	error	error	NOUN
bjmsr-313	258	17	estimation	estimation	NOUN
bjmsr-313	258	18	.	.	PUNCT
bjmsr-313	259	1	the	the	DET
bjmsr-313	259	2	first	first	ADJ
bjmsr-313	259	3	international	international	ADJ
bjmsr-313	259	4	conference	conference	NOUN
bjmsr-313	259	5	on	on	ADP
bjmsr-313	259	6	statistical	statistical	ADJ
bjmsr-313	259	7	data	datum	NOUN
bjmsr-313	259	8	analysis	analysis	NOUN
bjmsr-313	259	9	based	base	VERB
bjmsr-313	259	10	on	on	ADP
bjmsr-313	259	11	the	the	DET
bjmsr-313	259	12	l1‎‎	l1‎‎	ADJ
bjmsr-313	259	13	norm	norm	NOUN
bjmsr-313	259	14	and	and	CCONJ
bjmsr-313	259	15	related	related	ADJ
bjmsr-313	259	16	methods	method	NOUN
bjmsr-313	259	17	,	,	PUNCT
bjmsr-313	259	18	neuchatel	neuchatel	NOUN
bjmsr-313	259	19	,	,	PUNCT
bjmsr-313	259	20	switzerland	switzerland	PROPN
bjmsr-313	259	21	.	.	PUNCT
bjmsr-313	260	1	http://www.bidabad.com/doc/lae-i.pdf	http://www.bidabad.com/doc/lae-i.pdf	PROPN
bjmsr-313	260	2	bijan	bijan	PROPN
bjmsr-313	260	3	bidabad	bidabad	NOUN
bjmsr-313	260	4	(	(	PUNCT
bjmsr-313	260	5	1987b	1987b	NUM
bjmsr-313	260	6	)	)	PUNCT
bjmsr-313	260	7	least	least	ADJ
bjmsr-313	260	8	absolute	absolute	ADJ
bjmsr-313	260	9	error	error	NOUN
bjmsr-313	260	10	estimation	estimation	NOUN
bjmsr-313	260	11	,	,	PUNCT
bjmsr-313	260	12	part	part	PROPN
bjmsr-313	260	13	ii	ii	PROPN
bjmsr-313	260	14	.	.	PROPN
bjmsr-313	260	15	submitted	submit	VERB
bjmsr-313	260	16	to	to	ADP
bjmsr-313	260	17	the	the	DET
bjmsr-313	260	18	first	first	ADJ
bjmsr-313	260	19	international	international	ADJ
bjmsr-313	260	20	conference	conference	NOUN
bjmsr-313	260	21	on	on	ADP
bjmsr-313	260	22	statistical	statistical	ADJ
bjmsr-313	260	23	data	datum	NOUN
bjmsr-313	260	24	analysis	analysis	NOUN
bjmsr-313	260	25	based	base	VERB
bjmsr-313	260	26	on	on	ADP
bjmsr-313	260	27	the	the	DET
bjmsr-313	260	28	l1‎‎	l1‎‎	ADJ
bjmsr-313	260	29	norm	norm	NOUN
bjmsr-313	260	30	and	and	CCONJ
bjmsr-313	260	31	related	related	ADJ
bjmsr-313	260	32	methods	method	NOUN
bjmsr-313	260	33	,	,	PUNCT
bjmsr-313	260	34	neuchatel	neuchatel	NOUN
bjmsr-313	260	35	,	,	PUNCT
bjmsr-313	260	36	switzerland	switzerland	PROPN
bjmsr-313	260	37	.	.	PUNCT
bjmsr-313	261	1	http://www.bidabad.com/doc/lae-ii.pdf	http://www.bidabad.com/doc/lae-ii.pdf	PROPN
bjmsr-313	261	2	bijan	bijan	PROPN
bjmsr-313	261	3	bidabad	bidabad	NOUN
bjmsr-313	261	4	(	(	PUNCT
bjmsr-313	261	5	1988a	1988a	NUM
bjmsr-313	261	6	)	)	PUNCT
bjmsr-313	261	7	a	a	DET
bjmsr-313	261	8	proposed	propose	VERB
bjmsr-313	261	9	algorithm	algorithm	NOUN
bjmsr-313	261	10	for	for	ADP
bjmsr-313	261	11	least	least	ADJ
bjmsr-313	261	12	absolute	absolute	ADJ
bjmsr-313	261	13	error	error	NOUN
bjmsr-313	261	14	estimation	estimation	NOUN
bjmsr-313	261	15	.	.	PUNCT
bjmsr-313	262	1	proc	proc	PROPN
bjmsr-313	262	2	.	.	PUNCT
bjmsr-313	263	1	of	of	ADP
bjmsr-313	263	2	the	the	DET
bjmsr-313	263	3	third	third	ADJ
bjmsr-313	263	4	seminar	seminar	NOUN
bjmsr-313	263	5	of	of	ADP
bjmsr-313	263	6	mathematical	mathematical	ADJ
bjmsr-313	263	7	analysis	analysis	NOUN
bjmsr-313	263	8	.	.	PUNCT
bjmsr-313	264	1	shiraz	shiraz	PROPN
bjmsr-313	264	2	univ	univ	PROPN
bjmsr-313	264	3	.	.	PROPN
bjmsr-313	264	4	,	,	PUNCT
bjmsr-313	264	5	24	24	NUM
bjmsr-313	264	6	-	-	SYM
bjmsr-313	264	7	34	34	NUM
bjmsr-313	264	8	,	,	PUNCT
bjmsr-313	264	9	shiraz	shiraz	PROPN
bjmsr-313	264	10	,	,	PUNCT
bjmsr-313	264	11	iran	iran	PROPN
bjmsr-313	264	12	.	.	PUNCT
bjmsr-313	265	1	bijan	bijan	PROPN
bjmsr-313	265	2	bidabad	bidabad	NOUN
bjmsr-313	265	3	(	(	PUNCT
bjmsr-313	265	4	1988b	1988b	NUM
bjmsr-313	265	5	)	)	PUNCT
bjmsr-313	265	6	a	a	DET
bjmsr-313	265	7	proposed	propose	VERB
bjmsr-313	265	8	algorithm	algorithm	NOUN
bjmsr-313	265	9	for	for	ADP
bjmsr-313	265	10	least	least	ADJ
bjmsr-313	265	11	absolute	absolute	ADJ
bjmsr-313	265	12	error	error	NOUN
bjmsr-313	265	13	estimation	estimation	NOUN
bjmsr-313	265	14	,	,	PUNCT
bjmsr-313	265	15	part	part	PROPN
bjmsr-313	265	16	ii	ii	PROPN
bjmsr-313	265	17	.	.	PUNCT
bjmsr-313	265	18	proc	proc	PROPN
bjmsr-313	265	19	.	.	PUNCT
bjmsr-313	266	1	of	of	ADP
bjmsr-313	266	2	the	the	DET
bjmsr-313	266	3	third	third	ADJ
bjmsr-313	266	4	seminar	seminar	NOUN
bjmsr-313	266	5	of	of	ADP
bjmsr-313	266	6	mathematical	mathematical	ADJ
bjmsr-313	266	7	analysis	analysis	NOUN
bjmsr-313	266	8	,	,	PUNCT
bjmsr-313	266	9	shiraz	shiraz	PROPN
bjmsr-313	266	10	univ	univ	PROPN
bjmsr-313	266	11	.	.	PROPN
bjmsr-313	266	12	,	,	PUNCT
bjmsr-313	266	13	35	35	NUM
bjmsr-313	266	14	-	-	SYM
bjmsr-313	266	15	50	50	NUM
bjmsr-313	266	16	,	,	PUNCT
bjmsr-313	266	17	shiraz	shiraz	NOUN
bjmsr-313	266	18	,	,	PUNCT
bjmsr-313	266	19	iran	iran	PROPN
bjmsr-313	266	20	.	.	PUNCT
bjmsr-313	267	1	bijan	bijan	PROPN
bjmsr-313	267	2	bidabad	bidabad	NOUN
bjmsr-313	267	3	(	(	PUNCT
bjmsr-313	267	4	1989a	1989a	NUM
bjmsr-313	267	5	)	)	PUNCT
bjmsr-313	267	6	discrete	discrete	ADJ
bjmsr-313	267	7	and	and	CCONJ
bjmsr-313	267	8	continuous	continuous	ADJ
bjmsr-313	267	9	l1‎‎	l1‎‎	ADJ
bjmsr-313	267	10	norm	norm	NOUN
bjmsr-313	267	11	regressions	regression	NOUN
bjmsr-313	267	12	,	,	PUNCT
bjmsr-313	267	13	proposition	proposition	NOUN
bjmsr-313	267	14	of	of	ADP
bjmsr-313	267	15	discrete	discrete	ADJ
bjmsr-313	267	16	approximation	approximation	NOUN
bjmsr-313	267	17	algorithms	algorithm	NOUN
bjmsr-313	267	18	and	and	CCONJ
bjmsr-313	267	19	continuous	continuous	ADJ
bjmsr-313	267	20	smoothing	smoothing	NOUN
bjmsr-313	267	21	of	of	ADP
bjmsr-313	267	22	concentration	concentration	NOUN
bjmsr-313	267	23	surface	surface	NOUN
bjmsr-313	267	24	,	,	PUNCT
bjmsr-313	267	25	ph.d	ph.d	PROPN
bjmsr-313	267	26	.	.	PUNCT
bjmsr-313	268	1	thesis	thesis	PROPN
bjmsr-313	268	2	,	,	PUNCT
bjmsr-313	268	3	islamic	islamic	PROPN
bjmsr-313	268	4	azad	azad	PROPN
bjmsr-313	268	5	univ	univ	PROPN
bjmsr-313	268	6	.	.	PROPN
bjmsr-313	268	7	,	,	PUNCT
bjmsr-313	268	8	tehran	tehran	PROPN
bjmsr-313	268	9	,	,	PUNCT
bjmsr-313	268	10	iran	iran	PROPN
bjmsr-313	268	11	.	.	PUNCT
bjmsr-313	269	1	http://www.bidabad.com/doc/l1-norm-thesis-en.pdf	http://www.bidabad.com/doc/l1-norm-thesis-en.pdf	PROPN
bjmsr-313	269	2	bijan	bijan	PROPN
bjmsr-313	269	3	bidabad	bidabad	NOUN
bjmsr-313	269	4	(	(	PUNCT
bjmsr-313	269	5	1989b	1989b	NUM
bjmsr-313	269	6	)	)	PUNCT
bjmsr-313	269	7	discrete	discrete	ADJ
bjmsr-313	269	8	and	and	CCONJ
bjmsr-313	269	9	continuous	continuous	ADJ
bjmsr-313	269	10	l1‎‎	l1‎‎	ADJ
bjmsr-313	269	11	norm	norm	NOUN
bjmsr-313	269	12	regressions	regression	NOUN
bjmsr-313	269	13	,	,	PUNCT
bjmsr-313	269	14	proposition	proposition	NOUN
bjmsr-313	269	15	of	of	ADP
bjmsr-313	269	16	discrete	discrete	ADJ
bjmsr-313	269	17	approximation	approximation	NOUN
bjmsr-313	269	18	algorithms	algorithm	NOUN
bjmsr-313	269	19	and	and	CCONJ
bjmsr-313	269	20	continuous	continuous	ADJ
bjmsr-313	269	21	smoothing	smoothing	NOUN
bjmsr-313	269	22	of	of	ADP
bjmsr-313	269	23	concentration	concentration	NOUN
bjmsr-313	269	24	surface	surface	NOUN
bjmsr-313	269	25	,	,	PUNCT
bjmsr-313	269	26	ph.d	ph.d	PROPN
bjmsr-313	269	27	.	.	PUNCT
bjmsr-313	270	1	thesis	thesis	PROPN
bjmsr-313	270	2	,	,	PUNCT
bjmsr-313	270	3	islamic	islamic	PROPN
bjmsr-313	270	4	azad	azad	PROPN
bjmsr-313	270	5	univ	univ	PROPN
bjmsr-313	270	6	.	.	PROPN
bjmsr-313	270	7	,	,	PUNCT
bjmsr-313	270	8	tehran	tehran	PROPN
bjmsr-313	270	9	,	,	PUNCT
bjmsr-313	270	10	iran	iran	PROPN
bjmsr-313	270	11	.	.	PUNCT
bjmsr-313	271	1	farsi	farsi	PROPN
bjmsr-313	271	2	translation	translation	NOUN
bjmsr-313	271	3	.	.	PUNCT
bjmsr-313	272	1	http://www.bidabad.com/doc/l1-norm-thesis-fa.pdf	http://www.bidabad.com/doc/l1-norm-thesis-fa.pdf	PROPN
bjmsr-313	272	2	bijan	bijan	PROPN
bjmsr-313	272	3	bidabad	bidabad	NOUN
bjmsr-313	272	4	(	(	PUNCT
bjmsr-313	272	5	2005	2005	NUM
bjmsr-313	272	6	)	)	PUNCT
bjmsr-313	272	7	.	.	PUNCT
bjmsr-313	273	1	l1	l1	PROPN
bjmsr-313	273	2	norm	norm	PROPN
bjmsr-313	273	3	based	base	VERB
bjmsr-313	273	4	computational	computational	ADJ
bjmsr-313	273	5	algorithms	algorithm	NOUN
bjmsr-313	273	6	.	.	PUNCT
bjmsr-313	274	1	http://www.bidabad.com/doc/l1-article6.pdf	http://www.bidabad.com/doc/l1-article6.pdf	PROPN
bjmsr-313	274	2	bijan	bijan	PROPN
bjmsr-313	274	3	bidabad	bidabad	NOUN
bjmsr-313	274	4	(	(	PUNCT
bjmsr-313	274	5	2005	2005	NUM
bjmsr-313	274	6	)	)	PUNCT
bjmsr-313	274	7	.	.	PUNCT
bjmsr-313	275	1	l1	l1	PROPN
bjmsr-313	275	2	norm	norm	NOUN
bjmsr-313	275	3	solution	solution	NOUN
bjmsr-313	275	4	of	of	ADP
bjmsr-313	275	5	overdetermined	overdetermined	ADJ
bjmsr-313	275	6	system	system	NOUN
bjmsr-313	275	7	of	of	ADP
bjmsr-313	275	8	linear	linear	PROPN
bjmsr-313	275	9	equations	equation	NOUN
bjmsr-313	275	10	.	.	PUNCT
bjmsr-313	276	1	http://www.bidabad.com/doc/l1-article5.pdf	http://www.bidabad.com/doc/l1-article5.pdf	PROPN
bjmsr-313	276	2	bijan	bijan	PROPN
bjmsr-313	276	3	bidabad	bidabad	NOUN
bjmsr-313	276	4	(	(	PUNCT
bjmsr-313	276	5	2005	2005	NUM
bjmsr-313	276	6	)	)	PUNCT
bjmsr-313	276	7	.	.	PUNCT
bjmsr-313	277	1	l1	l1	PROPN
bjmsr-313	277	2	norm	norm	PROPN
bjmsr-313	277	3	based	base	VERB
bjmsr-313	277	4	data	datum	NOUN
bjmsr-313	277	5	analysis	analysis	NOUN
bjmsr-313	277	6	and	and	CCONJ
bjmsr-313	277	7	related	related	ADJ
bjmsr-313	277	8	methods	method	NOUN
bjmsr-313	277	9	.	.	PUNCT
bjmsr-313	278	1	http://www.bidabad.com/doc/l1articl1.pdf	http://www.bidabad.com/doc/l1articl1.pdf	PROPN
bjmsr-313	278	2	bijan	bijan	PROPN
bjmsr-313	278	3	bidabad	bidabad	NOUN
bjmsr-313	278	4	(	(	PUNCT
bjmsr-313	278	5	2005	2005	NUM
bjmsr-313	278	6	)	)	PUNCT
bjmsr-313	278	7	.	.	PUNCT
bjmsr-313	279	1	new	new	ADJ
bjmsr-313	279	2	algorithms	algorithm	NOUN
bjmsr-313	279	3	for	for	ADP
bjmsr-313	279	4	the	the	DET
bjmsr-313	279	5	l1	l1	PROPN
bjmsr-313	279	6	norm	norm	NOUN
bjmsr-313	279	7	regression	regression	NOUN
bjmsr-313	279	8	.	.	PUNCT
bjmsr-313	280	1	http://www.bidabad.com/doc/l1-article2.pdf	http://www.bidabad.com/doc/l1-article2.pdf	ADJ
bjmsr-313	280	2	bijan	bijan	NOUN
bjmsr-313	280	3	bidabad	bidabad	NOUN
bjmsr-313	280	4	(	(	PUNCT
bjmsr-313	280	5	2005	2005	NUM
bjmsr-313	280	6	)	)	PUNCT
bjmsr-313	280	7	.	.	PUNCT
bjmsr-313	281	1	comparative	comparative	ADJ
bjmsr-313	281	2	study	study	NOUN
bjmsr-313	281	3	of	of	ADP
bjmsr-313	281	4	the	the	DET
bjmsr-313	281	5	l1	l1	PROPN
bjmsr-313	281	6	norm	norm	PROPN
bjmsr-313	281	7	regression	regression	NOUN
bjmsr-313	281	8	algorithms	algorithm	NOUN
bjmsr-313	281	9	.	.	PUNCT
bjmsr-313	282	1	http://www.bidabad.com/doc/l1articl3.pdf	http://www.bidabad.com/doc/l1articl3.pdf	PROPN
bjmsr-313	282	2	bijan	bijan	PROPN
bjmsr-313	282	3	bidabad	bidabad	NOUN
bjmsr-313	282	4	(	(	PUNCT
bjmsr-313	282	5	2005	2005	NUM
bjmsr-313	282	6	)	)	PUNCT
bjmsr-313	282	7	.	.	PUNCT
bjmsr-313	283	1	continuous	continuous	ADJ
bjmsr-313	283	2	l1	l1	PROPN
bjmsr-313	283	3	norm	norm	NOUN
bjmsr-313	283	4	estimation	estimation	NOUN
bjmsr-313	283	5	of	of	ADP
bjmsr-313	283	6	lorenz	lorenz	PROPN
bjmsr-313	283	7	curve	curve	PROPN
bjmsr-313	283	8	.	.	PUNCT
bjmsr-313	284	1	http://www.bidabad.com/doc/l1articl4.pdf	http://www.bidabad.com/doc/l1articl4.pdf	PROPN
bjmsr-313	284	2	bijan	bijan	PROPN
bjmsr-313	284	3	bidabad	bidabad	NOUN
bjmsr-313	284	4	(	(	PUNCT
bjmsr-313	284	5	1993	1993	NUM
bjmsr-313	284	6	)	)	PUNCT
bjmsr-313	284	7	.	.	PUNCT
bjmsr-313	285	1	estimating	estimate	VERB
bjmsr-313	285	2	lorenz	lorenz	PROPN
bjmsr-313	285	3	curve	curve	NOUN
bjmsr-313	285	4	for	for	ADP
bjmsr-313	285	5	iran	iran	PROPN
bjmsr-313	285	6	by	by	ADP
bjmsr-313	285	7	using	use	VERB
bjmsr-313	285	8	continuous	continuous	ADJ
bjmsr-313	285	9	l1	l1	PROPN
bjmsr-313	285	10	norm	norm	NOUN
bjmsr-313	285	11	estimation	estimation	PROPN
bjmsr-313	285	12	,	,	PUNCT
bjmsr-313	285	13	economics	economic	NOUN
bjmsr-313	285	14	and	and	CCONJ
bjmsr-313	285	15	management	management	NOUN
bjmsr-313	285	16	journal	journal	NOUN
bjmsr-313	285	17	,	,	PUNCT
bjmsr-313	285	18	islamic	islamic	PROPN
bjmsr-313	285	19	azad	azad	PROPN
bjmsr-313	285	20	university	university	PROPN
bjmsr-313	285	21	,	,	PUNCT
bjmsr-313	285	22	no	no	INTJ
bjmsr-313	285	23	.	.	NOUN
bjmsr-313	285	24	19	19	NUM
bjmsr-313	285	25	,	,	PUNCT
bjmsr-313	285	26	winter	winter	NOUN
bjmsr-313	285	27	1993	1993	NUM
bjmsr-313	285	28	,	,	PUNCT
bjmsr-313	285	29	pp	pp	ADV
bjmsr-313	285	30	.	.	PUNCT
bjmsr-313	286	1	83	83	NUM
bjmsr-313	286	2	-	-	SYM
bjmsr-313	286	3	101	101	NUM
bjmsr-313	286	4	.	.	PUNCT
bjmsr-313	287	1	http://www.bidabad.com/doc/iraninc-l1.pdf	http://www.bidabad.com/doc/iraninc-l1.pdf	PROPN
bjmsr-313	287	2	bijan	bijan	PROPN
bjmsr-313	287	3	bidabad	bidabad	NOUN
bjmsr-313	287	4	(	(	PUNCT
bjmsr-313	287	5	2005	2005	NUM
bjmsr-313	287	6	)	)	PUNCT
bjmsr-313	287	7	.	.	PUNCT
bjmsr-313	288	1	continuous	continuous	ADJ
bjmsr-313	288	2	l1	l1	PROPN
bjmsr-313	288	3	norm	norm	NOUN
bjmsr-313	288	4	estimation	estimation	NOUN
bjmsr-313	288	5	of	of	ADP
bjmsr-313	288	6	lorenz	lorenz	PROPN
bjmsr-313	288	7	curve	curve	VERB
bjmsr-313	288	8	when	when	SCONJ
bjmsr-313	288	9	probability	probability	NOUN
bjmsr-313	288	10	density	density	NOUN
bjmsr-313	288	11	function	function	NOUN
bjmsr-313	288	12	is	be	AUX
bjmsr-313	288	13	known	know	VERB
bjmsr-313	288	14	.	.	PUNCT
bjmsr-313	289	1	bijan	bijan	PROPN
bjmsr-313	289	2	bidabad	bidabad	NOUN
bjmsr-313	289	3	(	(	PUNCT
bjmsr-313	289	4	2005	2005	NUM
bjmsr-313	289	5	)	)	PUNCT
bjmsr-313	289	6	.	.	PUNCT
bjmsr-313	290	1	usa	usa	PROPN
bjmsr-313	290	2	income	income	PROPN
bjmsr-313	290	3	distribution	distribution	PROPN
bjmsr-313	290	4	counter	counter	NOUN
bjmsr-313	290	5	-	-	NOUN
bjmsr-313	290	6	business	business	NOUN
bjmsr-313	290	7	-	-	PUNCT
bjmsr-313	290	8	cyclical	cyclical	ADJ
bjmsr-313	290	9	trend	trend	NOUN
bjmsr-313	290	10	(	(	PUNCT
bjmsr-313	290	11	estimating	estimate	VERB
bjmsr-313	290	12	lorenz	lorenz	PROPN
bjmsr-313	290	13	curve	curve	NOUN
bjmsr-313	290	14	using	use	VERB
bjmsr-313	290	15	continuous	continuous	ADJ
bjmsr-313	290	16	l1	l1	PROPN
bjmsr-313	290	17	norm	norm	NOUN
bjmsr-313	290	18	estimation	estimation	PROPN
bjmsr-313	290	19	)	)	PUNCT
bjmsr-313	290	20	.	.	PUNCT
bjmsr-313	291	1	first	first	ADJ
bjmsr-313	291	2	meeting	meeting	NOUN
bjmsr-313	291	3	of	of	ADP
bjmsr-313	291	4	the	the	DET
bjmsr-313	291	5	society	society	NOUN
bjmsr-313	291	6	for	for	ADP
bjmsr-313	291	7	the	the	DET
bjmsr-313	291	8	study	study	NOUN
bjmsr-313	291	9	of	of	ADP
bjmsr-313	291	10	economic	economic	ADJ
bjmsr-313	291	11	inequality	inequality	NOUN
bjmsr-313	291	12	(	(	PUNCT
bjmsr-313	291	13	ecineq	ecineq	PROPN
bjmsr-313	291	14	)	)	PUNCT
bjmsr-313	291	15	,	,	PUNCT
bjmsr-313	291	16	palma	palma	PROPN
bjmsr-313	291	17	de	de	PROPN
bjmsr-313	291	18	mallorca	mallorca	PROPN
bjmsr-313	291	19	,	,	PUNCT
bjmsr-313	291	20	spain	spain	PROPN
bjmsr-313	291	21	,	,	PUNCT
bjmsr-313	291	22	july	july	PROPN
bjmsr-313	291	23	20	20	NUM
bjmsr-313	291	24	-	-	SYM
bjmsr-313	291	25	22	22	NUM
bjmsr-313	291	26	,	,	PUNCT
bjmsr-313	291	27	2005	2005	NUM
bjmsr-313	291	28	.	.	PUNCT
bjmsr-313	292	1	http://www.uib.es/congres/ecopub/ecineq/general.html	http://www.uib.es/congres/ecopub/ecineq/general.html	PROPN
bjmsr-313	292	2	http://www.uib.es/congres/ecopub/ecineq/papers/039bidabab.pdf	http://www.uib.es/congres/ecopub/ecineq/papers/039bidabab.pdf	PROPN
bjmsr-313	292	3	http://www.bidabad.com/doc/estimating-lorenz-us.pdf	http://www.bidabad.com/doc/estimating-lorenz-us.pdf	PROPN
bjmsr-313	292	4	bijan	bijan	PROPN
bjmsr-313	292	5	bidabad	bidabad	PROPN
bjmsr-313	292	6	,	,	PUNCT
bjmsr-313	292	7	hamid	hamid	PROPN
bjmsr-313	292	8	shahrestani	shahrestani	PROPN
bjmsr-313	292	9	.	.	PUNCT
bjmsr-313	293	1	(	(	PUNCT
bjmsr-313	293	2	2008	2008	NUM
bjmsr-313	293	3	)	)	PUNCT
bjmsr-313	293	4	an	an	DET
bjmsr-313	293	5	implied	imply	VERB
bjmsr-313	293	6	inequality	inequality	NOUN
bjmsr-313	293	7	index	index	NOUN
bjmsr-313	293	8	using	use	VERB
bjmsr-313	293	9	l1	l1	PROPN
bjmsr-313	293	10	norm	norm	NOUN
bjmsr-313	293	11	estimation	estimation	NOUN
bjmsr-313	293	12	of	of	ADP
bjmsr-313	293	13	lorenz	lorenz	PROPN
bjmsr-313	293	14	curve	curve	PROPN
bjmsr-313	293	15	.	.	PUNCT
bjmsr-313	294	1	global	global	ADJ
bjmsr-313	294	2	conference	conference	NOUN
bjmsr-313	294	3	on	on	ADP
bjmsr-313	294	4	business	business	NOUN
bjmsr-313	294	5	and	and	CCONJ
bjmsr-313	294	6	finance	finance	NOUN
bjmsr-313	294	7	proceedings	proceeding	NOUN
bjmsr-313	294	8	.	.	PUNCT
bjmsr-313	295	1	mercedes	mercede	NOUN
bjmsr-313	295	2	jalbert	jalbert	PROPN
bjmsr-313	295	3	,	,	PUNCT
bjmsr-313	295	4	managing	managing	NOUN
bjmsr-313	295	5	editor	editor	NOUN
bjmsr-313	295	6	,	,	PUNCT
bjmsr-313	295	7	issn	issn	PROPN
bjmsr-313	295	8	19310285	19310285	NUM
bjmsr-313	295	9	cd	cd	PROPN
bjmsr-313	295	10	,	,	PUNCT
bjmsr-313	295	11	issn	issn	PROPN
bjmsr-313	295	12	1941	1941	NUM
bjmsr-313	295	13	-	-	SYM
bjmsr-313	295	14	9589	9589	NUM
bjmsr-313	295	15	online	online	NOUN
bjmsr-313	295	16	,	,	PUNCT
bjmsr-313	295	17	volume	volume	NOUN
bjmsr-313	295	18	3	3	NUM
bjmsr-313	295	19	,	,	PUNCT
bjmsr-313	295	20	number	number	NOUN
bjmsr-313	295	21	2	2	NUM
bjmsr-313	295	22	,	,	PUNCT
bjmsr-313	295	23	2008	2008	NUM
bjmsr-313	295	24	,	,	PUNCT
bjmsr-313	295	25	the	the	DET
bjmsr-313	295	26	institute	institute	NOUN
bjmsr-313	295	27	for	for	ADP
bjmsr-313	295	28	business	business	NOUN
bjmsr-313	295	29	and	and	CCONJ
bjmsr-313	295	30	finance	finance	NOUN
bjmsr-313	295	31	research	research	NOUN
bjmsr-313	295	32	,	,	PUNCT
bjmsr-313	295	33	ramada	ramada	PROPN
bjmsr-313	295	34	plaza	plaza	PROPN
bjmsr-313	295	35	herradura	herradura	NOUN
bjmsr-313	295	36	,	,	PUNCT
bjmsr-313	295	37	san	san	PROPN
bjmsr-313	295	38	jose	jose	PROPN
bjmsr-313	295	39	,	,	PUNCT
bjmsr-313	295	40	costa	costa	PROPN
bjmsr-313	295	41	rica	rica	PROPN
bjmsr-313	295	42	,	,	PUNCT
bjmsr-313	295	43	may	may	AUX
bjmsr-313	295	44	28	28	NUM
bjmsr-313	295	45	-	-	SYM
bjmsr-313	295	46	31	31	NUM
bjmsr-313	295	47	,	,	PUNCT
bjmsr-313	295	48	2008	2008	NUM
bjmsr-313	295	49	,	,	PUNCT
bjmsr-313	295	50	pp	pp	ADJ
bjmsr-313	295	51	.	.	PUNCT
bjmsr-313	296	1	148	148	NUM
bjmsr-313	296	2	-	-	SYM
bjmsr-313	296	3	163	163	NUM
bjmsr-313	296	4	.	.	PUNCT
bjmsr-313	297	1	global	global	ADJ
bjmsr-313	297	2	journal	journal	PROPN
bjmsr-313	297	3	of	of	ADP
bjmsr-313	297	4	business	business	NOUN
bjmsr-313	297	5	research	research	NOUN
bjmsr-313	297	6	,	,	PUNCT
bjmsr-313	297	7	vol	vol	NOUN
bjmsr-313	297	8	.	.	PROPN
bjmsr-313	297	9	4	4	NUM
bjmsr-313	297	10	,	,	PUNCT
bjmsr-313	297	11	no	no	INTJ
bjmsr-313	297	12	.	.	NOUN
bjmsr-313	297	13	1	1	NUM
bjmsr-313	297	14	,	,	PUNCT
bjmsr-313	297	15	2010	2010	NUM
bjmsr-313	297	16	,	,	PUNCT
bjmsr-313	297	17	pp.29	pp.29	NOUN
bjmsr-313	297	18	-	-	PUNCT
bjmsr-313	297	19	45	45	NUM
bjmsr-313	297	20	.	.	PUNCT
bjmsr-313	298	1	http://www.bidabad.com/doc/l1-implied-inequality-index-4.pdf	http://www.bidabad.com/doc/l1-implied-inequality-index-4.pdf	PROPN
bjmsr-313	298	2	http://www.theibfr.com/archive/issn-1941-9589-v3-n2-2008.pdf	http://www.theibfr.com/archive/issn-1941-9589-v3-n2-2008.pdf	PROPN
bjmsr-313	298	3	http://www.bidabad.com/doc/lae-i.pdf	http://www.bidabad.com/doc/lae-i.pdf	PROPN
bjmsr-313	298	4	http://www.bidabad.com/doc/lae-ii.pdf	http://www.bidabad.com/doc/lae-ii.pdf	PROPN
bjmsr-313	298	5	http://www.bidabad.com/doc/l1-norm-thesis-en.pdf	http://www.bidabad.com/doc/l1-norm-thesis-en.pdf	PROPN
bjmsr-313	298	6	http://www.bidabad.com/doc/l1-norm-thesis-fa.pdf	http://www.bidabad.com/doc/l1-norm-thesis-fa.pdf	PROPN
bjmsr-313	298	7	http://www.bidabad.com/doc/l1-article6.pdf	http://www.bidabad.com/doc/l1-article6.pdf	PROPN
bjmsr-313	298	8	http://www.bidabad.com/doc/l1-article5.pdf	http://www.bidabad.com/doc/l1-article5.pdf	PROPN
bjmsr-313	298	9	http://www.bidabad.com/doc/l1-article1.pdf	http://www.bidabad.com/doc/l1-article1.pdf	PROPN
bjmsr-313	298	10	http://www.bidabad.com/doc/l1-article1.pdf	http://www.bidabad.com/doc/l1-article1.pdf	PROPN
bjmsr-313	298	11	http://www.bidabad.com/doc/l1-article2.pdf	http://www.bidabad.com/doc/l1-article2.pdf	PROPN
bjmsr-313	298	12	http://www.bidabad.com/doc/l1-article3.pdf	http://www.bidabad.com/doc/l1-article3.pdf	PROPN
bjmsr-313	298	13	http://www.bidabad.com/doc/l1-article3.pdf	http://www.bidabad.com/doc/l1-article3.pdf	PROPN
bjmsr-313	298	14	http://www.bidabad.com/doc/l1-article4.pdf	http://www.bidabad.com/doc/l1-article4.pdf	PROPN
bjmsr-313	298	15	http://www.bidabad.com/doc/l1-article4.pdf	http://www.bidabad.com/doc/l1-article4.pdf	PROPN
bjmsr-313	298	16	http://www.bidabad.com/doc/iraninc-l1.pdf	http://www.bidabad.com/doc/iraninc-l1.pdf	PROPN
bjmsr-313	298	17	http://www.uib.es/congres/ecopub/ecineq/general.htm	http://www.uib.es/congres/ecopub/ecineq/general.htm	PROPN
bjmsr-313	298	18	http://www.uib.es/congres/ecopub/ecineq/papers/039bidabab.pdf	http://www.uib.es/congres/ecopub/ecineq/papers/039bidabab.pdf	PROPN
bjmsr-313	298	19	http://www.bidabad.com/doc/estimating-lorenz-us.pdf	http://www.bidabad.com/doc/estimating-lorenz-us.pdf	PROPN
bjmsr-313	298	20	http://www.bidabad.com/doc/l1-implied-inequality-index-4.pdf	http://www.bidabad.com/doc/l1-implied-inequality-index-4.pdf	PROPN
bjmsr-313	298	21	http://www.theibfr.com/archive/issn-1941-9589-v3-n2-2008.pdf	http://www.theibfr.com/archive/issn-1941-9589-v3-n2-2008.pdf	PROPN
bjmsr-313	298	22	www.cribfb.com/journal/index.php/bjmsr	www.cribfb.com/journal/index.php/bjmsr	PROPN
bjmsr-313	298	23	bangladesh	bangladesh	PROPN
bjmsr-313	298	24	journal	journal	PROPN
bjmsr-313	298	25	of	of	ADP
bjmsr-313	298	26	multidisciplinary	multidisciplinary	ADJ
bjmsr-313	298	27	scientific	scientific	ADJ
bjmsr-313	298	28	research	research	NOUN
bjmsr-313	298	29	vol	vol	NOUN
bjmsr-313	298	30	.	.	PROPN
bjmsr-313	299	1	1	1	NUM
bjmsr-313	299	2	,	,	PUNCT
bjmsr-313	299	3	no	no	INTJ
bjmsr-313	299	4	.	.	NOUN
bjmsr-313	299	5	1	1	NUM
bjmsr-313	299	6	;	;	PUNCT
bjmsr-313	299	7	2019	2019	NUM
bjmsr-313	299	8	40	40	NUM
bjmsr-313	299	9	http://www.bidabad.com/doc/ssrn-id1631861.pdf	http://www.bidabad.com/doc/ssrn-id1631861.pdf	PROPN
bjmsr-313	299	10	p.	p.	PROPN
bjmsr-313	299	11	bloomfield	bloomfield	PROPN
bjmsr-313	299	12	,	,	PUNCT
bjmsr-313	299	13	w.	w.	PROPN
bjmsr-313	299	14	steiger	steiger	PROPN
bjmsr-313	299	15	(	(	PUNCT
bjmsr-313	299	16	1980	1980	NUM
bjmsr-313	299	17	)	)	PUNCT
bjmsr-313	299	18	least	least	ADJ
bjmsr-313	299	19	absolute	absolute	ADJ
bjmsr-313	299	20	deviations	deviation	NOUN
bjmsr-313	299	21	curve	curve	VERB
bjmsr-313	299	22	fitting	fitting	ADJ
bjmsr-313	299	23	.	.	PUNCT
bjmsr-313	300	1	siam	siam	PROPN
bjmsr-313	300	2	j.	j.	PROPN
bjmsr-313	300	3	sci	sci	PROPN
bjmsr-313	300	4	.	.	PROPN
bjmsr-313	300	5	statist	statist	PROPN
bjmsr-313	300	6	.	.	PUNCT
bjmsr-313	301	1	comput	comput	NOUN
bjmsr-313	301	2	.	.	PUNCT
bjmsr-313	302	1	1	1	NUM
bjmsr-313	302	2	,	,	PUNCT
bjmsr-313	302	3	290	290	NUM
bjmsr-313	302	4	-	-	SYM
bjmsr-313	302	5	301	301	NUM
bjmsr-313	302	6	.	.	PUNCT
bjmsr-313	303	1	r.	r.	PROPN
bjmsr-313	303	2	dutter	dutter	PROPN
bjmsr-313	303	3	(	(	PUNCT
bjmsr-313	303	4	1977	1977	NUM
bjmsr-313	303	5	)	)	PUNCT
bjmsr-313	303	6	numerical	numerical	ADJ
bjmsr-313	303	7	solution	solution	NOUN
bjmsr-313	303	8	of	of	ADP
bjmsr-313	303	9	robust	robust	ADJ
bjmsr-313	303	10	regression	regression	NOUN
bjmsr-313	303	11	problems	problem	NOUN
bjmsr-313	303	12	,	,	PUNCT
bjmsr-313	303	13	computational	computational	ADJ
bjmsr-313	303	14	aspects	aspect	NOUN
bjmsr-313	303	15	,	,	PUNCT
bjmsr-313	303	16	a	a	DET
bjmsr-313	303	17	comparison	comparison	NOUN
bjmsr-313	303	18	.	.	PUNCT
bjmsr-313	304	1	j.	j.	PROPN
bjmsr-313	304	2	of	of	ADP
bjmsr-313	304	3	stat	stat	PROPN
bjmsr-313	304	4	.	.	PUNCT
bjmsr-313	305	1	computation	computation	NOUN
bjmsr-313	305	2	and	and	CCONJ
bjmsr-313	305	3	simulation	simulation	NOUN
bjmsr-313	305	4	,	,	PUNCT
bjmsr-313	305	5	5	5	NUM
bjmsr-313	305	6	,	,	PUNCT
bjmsr-313	305	7	207	207	NUM
bjmsr-313	305	8	-	-	SYM
bjmsr-313	305	9	238	238	NUM
bjmsr-313	305	10	.	.	PUNCT
bjmsr-313	306	1	j.e	j.e	NOUN
bjmsr-313	306	2	.	.	PROPN
bjmsr-313	306	3	gentle	gentle	ADJ
bjmsr-313	306	4	,	,	PUNCT
bjmsr-313	306	5	s.c	s.c	PROPN
bjmsr-313	306	6	.	.	PROPN
bjmsr-313	306	7	narula	narula	PROPN
bjmsr-313	306	8	,	,	PUNCT
bjmsr-313	306	9	v.a	v.a	PROPN
bjmsr-313	306	10	.	.	PROPN
bjmsr-313	306	11	sposito	sposito	PROPN
bjmsr-313	306	12	(	(	PUNCT
bjmsr-313	306	13	1987	1987	NUM
bjmsr-313	306	14	)	)	PUNCT
bjmsr-313	306	15	algorithms	algorithm	NOUN
bjmsr-313	306	16	for	for	ADP
bjmsr-313	306	17	unconstrained	unconstrained	ADJ
bjmsr-313	306	18	l1	l1	PROPN
bjmsr-313	306	19	linear	linear	PROPN
bjmsr-313	306	20	regression	regression	NOUN
bjmsr-313	306	21	.	.	PUNCT
bjmsr-313	307	1	in	in	ADP
bjmsr-313	307	2	y.	y.	PROPN
bjmsr-313	307	3	dodge	dodge	PROPN
bjmsr-313	307	4	(	(	PUNCT
bjmsr-313	307	5	ed	ed	NOUN
bjmsr-313	307	6	.	.	PUNCT
bjmsr-313	307	7	)	)	PUNCT
bjmsr-313	307	8	statistical	statistical	ADJ
bjmsr-313	307	9	data	datum	NOUN
bjmsr-313	307	10	analysis	analysis	NOUN
bjmsr-313	307	11	based	base	VERB
bjmsr-313	307	12	on	on	ADP
bjmsr-313	307	13	the	the	DET
bjmsr-313	307	14	l1	l1	PROPN
bjmsr-313	307	15	norm	norm	NOUN
bjmsr-313	307	16	and	and	CCONJ
bjmsr-313	307	17	related	related	ADJ
bjmsr-313	307	18	methods	method	NOUN
bjmsr-313	307	19	.	.	PUNCT
bjmsr-313	308	1	north	north	NOUN
bjmsr-313	308	2	-	-	PUNCT
bjmsr-313	308	3	holland	holland	PROPN
bjmsr-313	308	4	.	.	PUNCT
bjmsr-313	309	1	83	83	NUM
bjmsr-313	309	2	-	-	SYM
bjmsr-313	309	3	94	94	NUM
bjmsr-313	309	4	.	.	PUNCT
bjmsr-313	310	1	j.e	j.e	NOUN
bjmsr-313	310	2	.	.	PROPN
bjmsr-313	310	3	gentle	gentle	PROPN
bjmsr-313	310	4	,	,	PUNCT
bjmsr-313	310	5	v.a	v.a	PROPN
bjmsr-313	310	6	.	.	PROPN
bjmsr-313	310	7	sposito	sposito	PROPN
bjmsr-313	310	8	,	,	PUNCT
bjmsr-313	310	9	s.c	s.c	PROPN
bjmsr-313	310	10	.	.	PROPN
bjmsr-313	310	11	narula	narula	NOUN
bjmsr-313	310	12	(	(	PUNCT
bjmsr-313	310	13	1988	1988	NUM
bjmsr-313	310	14	)	)	PUNCT
bjmsr-313	310	15	algorithms	algorithm	NOUN
bjmsr-313	310	16	for	for	ADP
bjmsr-313	310	17	unconstrained	unconstrained	ADJ
bjmsr-313	310	18	l1	l1	PROPN
bjmsr-313	310	19	simple	simple	ADJ
bjmsr-313	310	20	linear	linear	PROPN
bjmsr-313	310	21	regression	regression	NOUN
bjmsr-313	310	22	.	.	PUNCT
bjmsr-313	311	1	csda	csda	NOUN
bjmsr-313	311	2	,	,	PUNCT
bjmsr-313	311	3	6(4	6(4	PROPN
bjmsr-313	311	4	)	)	PUNCT
bjmsr-313	311	5	,	,	PUNCT
bjmsr-313	311	6	335	335	NUM
bjmsr-313	311	7	-	-	SYM
bjmsr-313	311	8	340	340	NUM
bjmsr-313	311	9	.	.	PUNCT
bjmsr-313	312	1	j.	j.	PROPN
bjmsr-313	312	2	gilsinn	gilsinn	PROPN
bjmsr-313	312	3	,	,	PUNCT
bjmsr-313	312	4	k.	k.	PROPN
bjmsr-313	312	5	hoffman	hoffman	PROPN
bjmsr-313	312	6	,	,	PUNCT
bjmsr-313	312	7	r.h.f	r.h.f	PROPN
bjmsr-313	312	8	.	.	PROPN
bjmsr-313	312	9	jackson	jackson	PROPN
bjmsr-313	312	10	,	,	PUNCT
bjmsr-313	312	11	e.	e.	PROPN
bjmsr-313	312	12	leyendecker	leyendecker	PROPN
bjmsr-313	312	13	,	,	PUNCT
bjmsr-313	312	14	p.	p.	NOUN
bjmsr-313	312	15	saunder	saunder	NOUN
bjmsr-313	312	16	,	,	PUNCT
bjmsr-313	312	17	d.	d.	PROPN
bjmsr-313	312	18	shier	shier	NOUN
bjmsr-313	312	19	(	(	PUNCT
bjmsr-313	312	20	1977	1977	NUM
bjmsr-313	312	21	)	)	PUNCT
bjmsr-313	312	22	methodology	methodology	NOUN
bjmsr-313	312	23	and	and	CCONJ
bjmsr-313	312	24	analysis	analysis	NOUN
bjmsr-313	312	25	for	for	ADP
bjmsr-313	312	26	comparing	compare	VERB
bjmsr-313	312	27	discrete	discrete	ADJ
bjmsr-313	312	28	l1	l1	PROPN
bjmsr-313	312	29	approximation	approximation	NOUN
bjmsr-313	312	30	codes	code	NOUN
bjmsr-313	312	31	.	.	PUNCT
bjmsr-313	312	32	,	,	PUNCT
bjmsr-313	312	33	commun	commun	PROPN
bjmsr-313	312	34	.	.	PUNCT
bjmsr-313	312	35	stat	stat	PROPN
bjmsr-313	312	36	.	.	PUNCT
bjmsr-313	312	37	,	,	PUNCT
bjmsr-313	312	38	b6	b6	NOUN
bjmsr-313	312	39	,	,	PUNCT
bjmsr-313	312	40	399	399	NUM
bjmsr-313	312	41	-	-	SYM
bjmsr-313	312	42	413	413	NUM
bjmsr-313	312	43	.	.	PUNCT
bjmsr-313	313	1	k.l	k.l	PROPN
bjmsr-313	313	2	.	.	PROPN
bjmsr-313	313	3	hoffman	hoffman	PROPN
bjmsr-313	313	4	,	,	PUNCT
bjmsr-313	313	5	d.r	d.r	PROPN
bjmsr-313	313	6	.	.	PROPN
bjmsr-313	313	7	shier	shier	NOUN
bjmsr-313	313	8	(	(	PUNCT
bjmsr-313	313	9	1980b	1980b	NUM
bjmsr-313	313	10	)	)	PUNCT
bjmsr-313	313	11	a	a	DET
bjmsr-313	313	12	test	test	NOUN
bjmsr-313	313	13	problem	problem	NOUN
bjmsr-313	313	14	generator	generator	NOUN
bjmsr-313	313	15	for	for	ADP
bjmsr-313	313	16	discrete	discrete	ADJ
bjmsr-313	313	17	linear	linear	PROPN
bjmsr-313	313	18	l1	l1	PROPN
bjmsr-313	313	19	approximation	approximation	NOUN
bjmsr-313	313	20	problems	problem	NOUN
bjmsr-313	313	21	.	.	PUNCT
bjmsr-313	314	1	acm	acm	PROPN
bjmsr-313	314	2	trans	trans	PROPN
bjmsr-313	314	3	.	.	PROPN
bjmsr-313	315	1	math	math	PROPN
bjmsr-313	315	2	.	.	PUNCT
bjmsr-313	316	1	soft	soft	ADJ
bjmsr-313	316	2	.	.	PUNCT
bjmsr-313	317	1	,	,	PUNCT
bjmsr-313	317	2	6	6	NUM
bjmsr-313	317	3	,	,	PUNCT
bjmsr-313	317	4	615	615	NUM
bjmsr-313	317	5	-	-	SYM
bjmsr-313	317	6	617	617	NUM
bjmsr-313	317	7	.	.	PUNCT
bjmsr-313	318	1	l.a	l.a	PROPN
bjmsr-313	318	2	.	.	PROPN
bjmsr-313	318	3	josvanger	josvanger	PROPN
bjmsr-313	318	4	,	,	PUNCT
bjmsr-313	318	5	v.a	v.a	PROPN
bjmsr-313	318	6	.	.	PROPN
bjmsr-313	318	7	sposito	sposito	PROPN
bjmsr-313	318	8	(	(	PUNCT
bjmsr-313	318	9	1983	1983	NUM
bjmsr-313	318	10	)	)	PUNCT
bjmsr-313	318	11	l1	l1	PROPN
bjmsr-313	318	12	-	-	PUNCT
bjmsr-313	318	13	norm	norm	NOUN
bjmsr-313	318	14	estimates	estimate	NOUN
bjmsr-313	318	15	for	for	ADP
bjmsr-313	318	16	the	the	DET
bjmsr-313	318	17	simple	simple	ADJ
bjmsr-313	318	18	regression	regression	NOUN
bjmsr-313	318	19	problem	problem	NOUN
bjmsr-313	318	20	.	.	PUNCT
bjmsr-313	319	1	comm	comm	NOUN
bjmsr-313	319	2	.	.	PUNCT
bjmsr-313	320	1	stat	stat	PROPN
bjmsr-313	320	2	.	.	PUNCT
bjmsr-313	321	1	b12	b12	NOUN
bjmsr-313	321	2	,	,	PUNCT
bjmsr-313	321	3	21521	21521	NUM
bjmsr-313	321	4	.	.	PUNCT
bjmsr-313	322	1	w.j	w.j	PROPN
bjmsr-313	322	2	.	.	PROPN
bjmsr-313	322	3	kennedy	kennedy	PROPN
bjmsr-313	322	4	,	,	PUNCT
bjmsr-313	322	5	j.e	j.e	PROPN
bjmsr-313	322	6	.	.	PROPN
bjmsr-313	322	7	gentle	gentle	ADJ
bjmsr-313	322	8	(	(	PUNCT
bjmsr-313	322	9	1977	1977	NUM
bjmsr-313	322	10	)	)	PUNCT
bjmsr-313	322	11	examining	examine	VERB
bjmsr-313	322	12	rounding	round	VERB
bjmsr-313	322	13	error	error	NOUN
bjmsr-313	322	14	in	in	ADP
bjmsr-313	322	15	least	least	ADJ
bjmsr-313	322	16	absolute	absolute	ADJ
bjmsr-313	322	17	values	value	NOUN
bjmsr-313	322	18	regression	regression	NOUN
bjmsr-313	322	19	computations	computation	NOUN
bjmsr-313	322	20	.	.	PUNCT
bjmsr-313	323	1	comm	comm	NOUN
bjmsr-313	323	2	.	.	PUNCT
bjmsr-313	324	1	stat	stat	PROPN
bjmsr-313	324	2	.	.	PUNCT
bjmsr-313	324	3	,	,	PUNCT
bjmsr-313	324	4	b6	b6	NOUN
bjmsr-313	324	5	,	,	PUNCT
bjmsr-313	324	6	415	415	NUM
bjmsr-313	324	7	-	-	SYM
bjmsr-313	324	8	420	420	NUM
bjmsr-313	324	9	.	.	PUNCT
bjmsr-313	325	1	w.j	w.j	PROPN
bjmsr-313	325	2	kennedy	kennedy	PROPN
bjmsr-313	325	3	,	,	PUNCT
bjmsr-313	325	4	j.e	j.e	PROPN
bjmsr-313	325	5	.	.	PROPN
bjmsr-313	325	6	gentle	gentle	PROPN
bjmsr-313	325	7	,	,	PUNCT
bjmsr-313	325	8	v.a	v.a	PROPN
bjmsr-313	325	9	.	.	PROPN
bjmsr-313	325	10	sposito	sposito	PROPN
bjmsr-313	325	11	(	(	PUNCT
bjmsr-313	325	12	1977a	1977a	NUM
bjmsr-313	325	13	)	)	PUNCT
bjmsr-313	325	14	comparisons	comparison	NOUN
bjmsr-313	325	15	of	of	ADP
bjmsr-313	325	16	algorithms	algorithm	NOUN
bjmsr-313	325	17	for	for	ADP
bjmsr-313	325	18	l1	l1	PROPN
bjmsr-313	325	19	estimation	estimation	NOUN
bjmsr-313	325	20	in	in	ADP
bjmsr-313	325	21	the	the	DET
bjmsr-313	325	22	linear	linear	PROPN
bjmsr-313	325	23	model	model	NOUN
bjmsr-313	325	24	.	.	PUNCT
bjmsr-313	326	1	paper	paper	NOUN
bjmsr-313	326	2	presented	present	VERB
bjmsr-313	326	3	at	at	ADP
bjmsr-313	326	4	midwestern	midwestern	ADJ
bjmsr-313	326	5	regional	regional	ADJ
bjmsr-313	326	6	meeting	meeting	NOUN
bjmsr-313	326	7	of	of	ADP
bjmsr-313	326	8	ims	ims	PROPN
bjmsr-313	326	9	,	,	PUNCT
bjmsr-313	326	10	madison	madison	PROPN
bjmsr-313	326	11	,	,	PUNCT
bjmsr-313	326	12	wi	wi	PROPN
bjmsr-313	326	13	.	.	PUNCT
bjmsr-313	327	1	(	(	PUNCT
bjmsr-313	327	2	available	available	ADJ
bjmsr-313	327	3	from	from	ADP
bjmsr-313	327	4	the	the	DET
bjmsr-313	327	5	second	second	ADJ
bjmsr-313	327	6	author	author	NOUN
bjmsr-313	327	7	)	)	PUNCT
bjmsr-313	327	8	.	.	PUNCT
bjmsr-313	328	1	w.j	w.j	PROPN
bjmsr-313	328	2	kennedy	kennedy	PROPN
bjmsr-313	328	3	,	,	PUNCT
bjmsr-313	328	4	j.e	j.e	PROPN
bjmsr-313	328	5	.	.	PROPN
bjmsr-313	328	6	gentle	gentle	PROPN
bjmsr-313	328	7	,	,	PUNCT
bjmsr-313	328	8	v.a	v.a	PROPN
bjmsr-313	328	9	.	.	PROPN
bjmsr-313	328	10	sposito	sposito	PROPN
bjmsr-313	328	11	(	(	PUNCT
bjmsr-313	328	12	1977b	1977b	NUM
bjmsr-313	328	13	)	)	PUNCT
bjmsr-313	328	14	a	a	DET
bjmsr-313	328	15	computer	computer	NOUN
bjmsr-313	328	16	oriented	orient	VERB
bjmsr-313	328	17	method	method	NOUN
bjmsr-313	328	18	for	for	ADP
bjmsr-313	328	19	generating	generate	VERB
bjmsr-313	328	20	test	test	NOUN
bjmsr-313	328	21	problems	problem	NOUN
bjmsr-313	328	22	for	for	ADP
bjmsr-313	328	23	l1	l1	PROPN
bjmsr-313	328	24	regression	regression	PROPN
bjmsr-313	328	25	.	.	PUNCT
bjmsr-313	329	1	comm	comm	NOUN
bjmsr-313	329	2	.	.	PUNCT
bjmsr-313	330	1	stat	stat	PROPN
bjmsr-313	330	2	.	.	PUNCT
bjmsr-313	330	3	,	,	PUNCT
bjmsr-313	330	4	b6	b6	NOUN
bjmsr-313	330	5	,	,	PUNCT
bjmsr-313	330	6	21	21	NUM
bjmsr-313	330	7	-	-	SYM
bjmsr-313	330	8	27	27	NUM
bjmsr-313	330	9	.	.	PUNCT
bjmsr-313	331	1	j.l	j.l	PROPN
bjmsr-313	331	2	.	.	PROPN
bjmsr-313	331	3	larson	larson	PROPN
bjmsr-313	331	4	,	,	PUNCT
bjmsr-313	331	5	a.h	a.h	PROPN
bjmsr-313	331	6	.	.	PROPN
bjmsr-313	331	7	sameh	sameh	PROPN
bjmsr-313	331	8	(	(	PUNCT
bjmsr-313	331	9	1980	1980	NUM
bjmsr-313	331	10	)	)	PUNCT
bjmsr-313	331	11	algorithms	algorithm	NOUN
bjmsr-313	331	12	for	for	ADP
bjmsr-313	331	13	round	round	NOUN
bjmsr-313	331	14	of	of	ADP
bjmsr-313	331	15	error	error	NOUN
bjmsr-313	331	16	analysis	analysis	NOUN
bjmsr-313	331	17	a	a	DET
bjmsr-313	331	18	relative	relative	ADJ
bjmsr-313	331	19	error	error	NOUN
bjmsr-313	331	20	approach	approach	NOUN
bjmsr-313	331	21	.	.	PUNCT
bjmsr-313	332	1	computing	compute	VERB
bjmsr-313	332	2	24	24	NUM
bjmsr-313	332	3	,	,	PUNCT
bjmsr-313	332	4	275	275	NUM
bjmsr-313	332	5	-	-	SYM
bjmsr-313	332	6	297	297	NUM
bjmsr-313	332	7	.	.	PUNCT
bjmsr-313	333	1	m.j	m.j	PROPN
bjmsr-313	333	2	.	.	PROPN
bjmsr-313	333	3	mojarrad	mojarrad	PROPN
bjmsr-313	333	4	(	(	PUNCT
bjmsr-313	333	5	1977	1977	NUM
bjmsr-313	333	6	)	)	PUNCT
bjmsr-313	333	7	the	the	DET
bjmsr-313	333	8	application	application	NOUN
bjmsr-313	333	9	of	of	ADP
bjmsr-313	333	10	comparative	comparative	ADJ
bjmsr-313	333	11	monte	monte	PROPN
bjmsr-313	333	12	carlo	carlo	PROPN
bjmsr-313	333	13	methods	method	NOUN
bjmsr-313	333	14	to	to	ADP
bjmsr-313	333	15	econometrics	econometric	NOUN
bjmsr-313	333	16	:	:	PUNCT
bjmsr-313	333	17	an	an	DET
bjmsr-313	333	18	efficient	efficient	ADJ
bjmsr-313	333	19	monte	monte	PROPN
bjmsr-313	333	20	carlo	carlo	PROPN
bjmsr-313	333	21	study	study	NOUN
bjmsr-313	333	22	of	of	ADP
bjmsr-313	333	23	finite	finite	PROPN
bjmsr-313	333	24	sample	sample	NOUN
bjmsr-313	333	25	properties	property	NOUN
bjmsr-313	333	26	of	of	ADP
bjmsr-313	333	27	iterative	iterative	ADJ
bjmsr-313	333	28	instrumental	instrumental	ADJ
bjmsr-313	333	29	variables	variable	NOUN
bjmsr-313	333	30	estimation	estimation	NOUN
bjmsr-313	333	31	.	.	PUNCT
bjmsr-313	334	1	ph.d	ph.d	PROPN
bjmsr-313	334	2	.	.	PUNCT
bjmsr-313	335	1	diss	diss	PROPN
bjmsr-313	335	2	.	.	PROPN
bjmsr-313	335	3	,	,	PUNCT
bjmsr-313	335	4	university	university	PROPN
bjmsr-313	335	5	of	of	ADP
bjmsr-313	335	6	pennsylvania	pennsylvania	PROPN
bjmsr-313	335	7	.	.	PUNCT
bjmsr-313	336	1	a.n	a.n	PROPN
bjmsr-313	336	2	.	.	PROPN
bjmsr-313	336	3	sadovski	sadovski	PROPN
bjmsr-313	336	4	(	(	PUNCT
bjmsr-313	336	5	1974	1974	NUM
bjmsr-313	336	6	)	)	PUNCT
bjmsr-313	337	1	as74	as74	PROPN
bjmsr-313	337	2	:	:	PUNCT
bjmsr-313	337	3	l1	l1	PROPN
bjmsr-313	337	4	-	-	PUNCT
bjmsr-313	337	5	norm	norm	NOUN
bjmsr-313	337	6	fit	fit	NOUN
bjmsr-313	337	7	of	of	ADP
bjmsr-313	337	8	a	a	DET
bjmsr-313	337	9	straight	straight	ADJ
bjmsr-313	337	10	line	line	NOUN
bjmsr-313	337	11	.	.	PUNCT
bjmsr-313	338	1	appl	appl	PROPN
bjmsr-313	338	2	.	.	PUNCT
bjmsr-313	339	1	stat	stat	PROPN
bjmsr-313	339	2	.	.	PUNCT
bjmsr-313	340	1	23	23	NUM
bjmsr-313	340	2	,	,	PUNCT
bjmsr-313	340	3	244	244	NUM
bjmsr-313	340	4	-	-	SYM
bjmsr-313	340	5	248	248	NUM
bjmsr-313	340	6	.	.	PUNCT
bjmsr-313	341	1	e.j	e.j	PROPN
bjmsr-313	341	2	.	.	PROPN
bjmsr-313	341	3	schlossmacher	schlossmacher	PROPN
bjmsr-313	341	4	(	(	PUNCT
bjmsr-313	341	5	1973	1973	NUM
bjmsr-313	341	6	)	)	PUNCT
bjmsr-313	341	7	an	an	DET
bjmsr-313	341	8	iterative	iterative	NOUN
bjmsr-313	341	9	technique	technique	NOUN
bjmsr-313	341	10	for	for	ADP
bjmsr-313	341	11	absolute	absolute	ADJ
bjmsr-313	341	12	deviations	deviation	NOUN
bjmsr-313	341	13	curve	curve	VERB
bjmsr-313	341	14	fitting	fitting	ADJ
bjmsr-313	341	15	.	.	PUNCT
bjmsr-313	342	1	jasa	jasa	PROPN
bjmsr-313	342	2	68	68	NUM
bjmsr-313	342	3	,	,	PUNCT
bjmsr-313	342	4	857	857	NUM
bjmsr-313	342	5	-	-	SYM
bjmsr-313	342	6	865	865	NUM
bjmsr-313	342	7	.	.	PUNCT
bjmsr-313	342	8	e.	e.	PROPN
bjmsr-313	342	9	seneta	seneta	PROPN
bjmsr-313	342	10	,	,	PUNCT
bjmsr-313	342	11	w.l	w.l	PROPN
bjmsr-313	342	12	.	.	PROPN
bjmsr-313	342	13	steiger	steiger	PROPN
bjmsr-313	342	14	(	(	PUNCT
bjmsr-313	342	15	1984	1984	NUM
bjmsr-313	342	16	)	)	PUNCT
bjmsr-313	342	17	a	a	DET
bjmsr-313	342	18	new	new	ADJ
bjmsr-313	342	19	lad	lad	NOUN
bjmsr-313	342	20	curve	curve	NOUN
bjmsr-313	342	21	-	-	PUNCT
bjmsr-313	342	22	fitting	fit	VERB
bjmsr-313	342	23	algorithm	algorithm	NOUN
bjmsr-313	342	24	:	:	PUNCT
bjmsr-313	342	25	slightly	slightly	ADV
bjmsr-313	342	26	overdetermined	overdetermine	VERB
bjmsr-313	342	27	equation	equation	NOUN
bjmsr-313	342	28	system	system	NOUN
bjmsr-313	342	29	in	in	ADP
bjmsr-313	342	30	l1	l1	PROPN
bjmsr-313	342	31	.	.	PUNCT
bjmsr-313	343	1	discrete	discrete	ADJ
bjmsr-313	343	2	applied	apply	VERB
bjmsr-313	343	3	math	math	NOUN
bjmsr-313	343	4	.	.	PUNCT
bjmsr-313	343	5	,	,	PUNCT
bjmsr-313	343	6	7	7	NUM
bjmsr-313	343	7	,	,	PUNCT
bjmsr-313	343	8	79	79	NUM
bjmsr-313	343	9	-	-	SYM
bjmsr-313	343	10	91	91	NUM
bjmsr-313	343	11	.	.	PUNCT
bjmsr-313	344	1	g.o	g.o	NOUN
bjmsr-313	344	2	.	.	PROPN
bjmsr-313	344	3	wesolowsky	wesolowsky	PROPN
bjmsr-313	344	4	(	(	PUNCT
bjmsr-313	344	5	1981	1981	NUM
bjmsr-313	344	6	)	)	PUNCT
bjmsr-313	344	7	a	a	DET
bjmsr-313	344	8	new	new	ADJ
bjmsr-313	344	9	descent	descent	NOUN
bjmsr-313	344	10	algorithm	algorithm	NOUN
bjmsr-313	344	11	for	for	ADP
bjmsr-313	344	12	least	least	ADJ
bjmsr-313	344	13	absolute	absolute	ADJ
bjmsr-313	344	14	value	value	NOUN
bjmsr-313	344	15	regression	regression	NOUN
bjmsr-313	344	16	problem	problem	NOUN
bjmsr-313	344	17	.	.	PUNCT
bjmsr-313	345	1	comm	comm	NOUN
bjmsr-313	345	2	.	.	PUNCT
bjmsr-313	346	1	stat	stat	PROPN
bjmsr-313	346	2	.	.	PUNCT
bjmsr-313	346	3	,	,	PUNCT
bjmsr-313	346	4	b10	b10	PROPN
bjmsr-313	346	5	,	,	PUNCT
bjmsr-313	346	6	479	479	NUM
bjmsr-313	346	7	-	-	SYM
bjmsr-313	346	8	491	491	NUM
bjmsr-313	346	9	.	.	PUNCT
bjmsr-313	347	1	copyrights	copyright	VERB
bjmsr-313	347	2	copyright	copyright	NOUN
bjmsr-313	347	3	for	for	ADP
bjmsr-313	347	4	this	this	DET
bjmsr-313	347	5	article	article	NOUN
bjmsr-313	347	6	is	be	AUX
bjmsr-313	347	7	retained	retain	VERB
bjmsr-313	347	8	by	by	ADP
bjmsr-313	347	9	the	the	DET
bjmsr-313	347	10	author(s	author(s	PROPN
bjmsr-313	347	11	)	)	PUNCT
bjmsr-313	347	12	,	,	PUNCT
bjmsr-313	347	13	with	with	ADP
bjmsr-313	347	14	first	first	ADJ
bjmsr-313	347	15	publication	publication	NOUN
bjmsr-313	347	16	rights	right	NOUN
bjmsr-313	347	17	granted	grant	VERB
bjmsr-313	347	18	to	to	ADP
bjmsr-313	347	19	the	the	DET
bjmsr-313	347	20	journal	journal	NOUN
bjmsr-313	347	21	.	.	PUNCT
bjmsr-313	348	1	this	this	PRON
bjmsr-313	348	2	is	be	AUX
bjmsr-313	348	3	an	an	DET
bjmsr-313	348	4	open	open	ADJ
bjmsr-313	348	5	-	-	PUNCT
bjmsr-313	348	6	access	access	NOUN
bjmsr-313	348	7	article	article	NOUN
bjmsr-313	348	8	distributed	distribute	VERB
bjmsr-313	348	9	under	under	ADP
bjmsr-313	348	10	the	the	DET
bjmsr-313	348	11	terms	term	NOUN
bjmsr-313	348	12	and	and	CCONJ
bjmsr-313	348	13	conditions	condition	NOUN
bjmsr-313	348	14	of	of	ADP
bjmsr-313	348	15	the	the	DET
bjmsr-313	348	16	creative	creative	ADJ
bjmsr-313	348	17	commons	common	NOUN
bjmsr-313	348	18	attribution	attribution	NOUN
bjmsr-313	348	19	license	license	NOUN
bjmsr-313	348	20	(	(	PUNCT
bjmsr-313	348	21	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
bjmsr-313	348	22	)	)	PUNCT
bjmsr-313	348	23	.	.	PUNCT
bjmsr-313	349	1	http://www.bidabad.com/doc/ssrn-id1631861.pdf	http://www.bidabad.com/doc/ssrn-id1631861.pdf	PROPN