id	sid	tid	token	lemma	pos
cana-4595	1	1	communications	communication	NOUN
cana-4595	1	2	on	on	ADP
cana-4595	1	3	applied	apply	VERB
cana-4595	1	4	nonlinear	nonlinear	ADJ
cana-4595	1	5	analysis	analysis	NOUN
cana-4595	1	6	issn	issn	NOUN
cana-4595	1	7	:	:	PUNCT
cana-4595	1	8	1074	1074	NUM
cana-4595	1	9	-	-	PUNCT
cana-4595	1	10	133x	133x	NUM
cana-4595	1	11	vol	vol	NOUN
cana-4595	1	12	32	32	NUM
cana-4595	1	13	no	no	NOUN
cana-4595	1	14	.	.	PUNCT
cana-4595	2	1	9s	9s	NUM
cana-4595	2	2	(	(	PUNCT
cana-4595	2	3	2025	2025	NUM
cana-4595	2	4	)	)	PUNCT
cana-4595	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	3	2	2969	2969	NUM
cana-4595	3	3	new	new	ADJ
cana-4595	3	4	operational	operational	ADJ
cana-4595	3	5	matrix	matrix	NOUN
cana-4595	3	6	via	via	ADP
cana-4595	3	7	gnocchi	gnocchi	NOUN
cana-4595	3	8	polynomial	polynomial	PROPN
cana-4595	3	9	for	for	ADP
cana-4595	3	10	solving	solve	VERB
cana-4595	3	11	nonlinear	nonlinear	ADJ
cana-4595	3	12	fractional	fractional	ADJ
cana-4595	3	13	differential	differential	NOUN
cana-4595	3	14	equations	equation	NOUN
cana-4595	3	15	.	.	PUNCT
cana-4595	4	1	anil	anil	PROPN
cana-4595	4	2	kumar1	kumar1	PROPN
cana-4595	4	3	*	*	PROPN
cana-4595	4	4	,	,	PUNCT
cana-4595	4	5	dr	dr	PROPN
cana-4595	4	6	.	.	PROPN
cana-4595	4	7	sachin	sachin	PROPN
cana-4595	4	8	kumar2	kumar2	PROPN
cana-4595	5	1	1*department	1*department	NUM
cana-4595	5	2	of	of	ADP
cana-4595	5	3	mathematics	mathematic	NOUN
cana-4595	5	4	,	,	PUNCT
cana-4595	5	5	government	government	NOUN
cana-4595	5	6	degree	degree	NOUN
cana-4595	5	7	college	college	NOUN
cana-4595	5	8	budaun	budaun	NOUN
cana-4595	5	9	,	,	PUNCT
cana-4595	5	10	affiliated	affiliated	ADJ
cana-4595	5	11	m.j.p	m.j.p	ADJ
cana-4595	5	12	.	.	PROPN
cana-4595	5	13	rohilkhand	rohilkhand	PROPN
cana-4595	5	14	university	university	PROPN
cana-4595	5	15	,	,	PUNCT
cana-4595	5	16	bareilly	bareilly	PROPN
cana-4595	5	17	,	,	PUNCT
cana-4595	5	18	up	up	ADP
cana-4595	5	19	2assistant	2assistant	NUM
cana-4595	5	20	professor	professor	NOUN
cana-4595	5	21	,	,	PUNCT
cana-4595	5	22	department	department	NOUN
cana-4595	5	23	of	of	ADP
cana-4595	5	24	mathematics	mathematic	NOUN
cana-4595	5	25	,	,	PUNCT
cana-4595	5	26	government	government	NOUN
cana-4595	5	27	degree	degree	NOUN
cana-4595	5	28	college	college	NOUN
cana-4595	5	29	budaun	budaun	NOUN
cana-4595	5	30	,	,	PUNCT
cana-4595	5	31	affiliated	affiliated	ADJ
cana-4595	5	32	m.j.p	m.j.p	ADJ
cana-4595	5	33	.	.	PROPN
cana-4595	5	34	rohilkhand	rohilkhand	PROPN
cana-4595	5	35	university	university	PROPN
cana-4595	5	36	,	,	PUNCT
cana-4595	5	37	bareilly	bareilly	PROPN
cana-4595	5	38	,	,	PUNCT
cana-4595	5	39	up	up	ADV
cana-4595	5	40	,	,	PUNCT
cana-4595	5	41	email	email	NOUN
cana-4595	5	42	idanilkumar02011978@gmail.com	idanilkumar02011978@gmail.com	X
cana-4595	6	1	article	article	PROPN
cana-4595	6	2	history	history	NOUN
cana-4595	6	3	:	:	PUNCT
cana-4595	6	4	received	receive	VERB
cana-4595	6	5	:	:	PUNCT
cana-4595	6	6	12	12	NUM
cana-4595	6	7	-	-	SYM
cana-4595	6	8	01	01	NUM
cana-4595	6	9	-	-	PUNCT
cana-4595	6	10	2025	2025	NUM
cana-4595	6	11	revised	revise	VERB
cana-4595	6	12	:	:	PUNCT
cana-4595	6	13	15	15	NUM
cana-4595	6	14	-	-	NUM
cana-4595	6	15	02	02	NUM
cana-4595	6	16	-	-	PUNCT
cana-4595	6	17	2025	2025	NUM
cana-4595	6	18	accepted	accept	VERB
cana-4595	6	19	:	:	PUNCT
cana-4595	6	20	01	01	NUM
cana-4595	6	21	-	-	SYM
cana-4595	6	22	03	03	NUM
cana-4595	6	23	-	-	PUNCT
cana-4595	6	24	2025	2025	NUM
cana-4595	6	25	abstract	abstract	NOUN
cana-4595	6	26	:	:	PUNCT
cana-4595	6	27	fractional	fractional	ADJ
cana-4595	6	28	differential	differential	ADJ
cana-4595	6	29	equations	equation	NOUN
cana-4595	6	30	(	(	PUNCT
cana-4595	6	31	fdes	fde	NOUN
cana-4595	6	32	)	)	PUNCT
cana-4595	6	33	have	have	AUX
cana-4595	6	34	emerged	emerge	VERB
cana-4595	6	35	as	as	ADP
cana-4595	6	36	essential	essential	ADJ
cana-4595	6	37	tools	tool	NOUN
cana-4595	6	38	in	in	ADP
cana-4595	6	39	modeling	model	VERB
cana-4595	6	40	complex	complex	ADJ
cana-4595	6	41	dynamical	dynamical	ADJ
cana-4595	6	42	systems	system	NOUN
cana-4595	6	43	exhibiting	exhibit	VERB
cana-4595	6	44	memory	memory	NOUN
cana-4595	6	45	and	and	CCONJ
cana-4595	6	46	hereditary	hereditary	ADJ
cana-4595	6	47	properties	property	NOUN
cana-4595	6	48	.	.	PUNCT
cana-4595	7	1	traditional	traditional	ADJ
cana-4595	7	2	operational	operational	ADJ
cana-4595	7	3	matrices	matrix	NOUN
cana-4595	7	4	arising	arise	VERB
cana-4595	7	5	from	from	ADP
cana-4595	7	6	legendre	legendre	PROPN
cana-4595	7	7	,	,	PUNCT
cana-4595	7	8	chebyshev	chebyshev	PROPN
cana-4595	7	9	,	,	PUNCT
cana-4595	7	10	and	and	CCONJ
cana-4595	7	11	jacobi	jacobi	PROPN
cana-4595	7	12	polynomials	polynomial	NOUN
cana-4595	7	13	are	be	AUX
cana-4595	7	14	generally	generally	ADV
cana-4595	7	15	known	know	VERB
cana-4595	7	16	to	to	PART
cana-4595	7	17	be	be	AUX
cana-4595	7	18	numerically	numerically	ADV
cana-4595	7	19	unstable	unstable	ADJ
cana-4595	7	20	,	,	PUNCT
cana-4595	7	21	computationally	computationally	ADV
cana-4595	7	22	expensive	expensive	ADJ
cana-4595	7	23	,	,	PUNCT
cana-4595	7	24	and	and	CCONJ
cana-4595	7	25	inefficient	inefficient	ADJ
cana-4595	7	26	in	in	ADP
cana-4595	7	27	approximating	approximate	VERB
cana-4595	7	28	fractional	fractional	ADJ
cana-4595	7	29	operators	operator	NOUN
cana-4595	7	30	.	.	PUNCT
cana-4595	8	1	in	in	ADP
cana-4595	8	2	this	this	DET
cana-4595	8	3	study	study	NOUN
cana-4595	8	4	an	an	DET
cana-4595	8	5	operational	operational	ADJ
cana-4595	8	6	matrix	matrix	NOUN
cana-4595	8	7	based	base	VERB
cana-4595	8	8	on	on	ADP
cana-4595	8	9	gnocchi	gnocchi	NOUN
cana-4595	8	10	polynomial	polynomial	NOUN
cana-4595	8	11	is	be	AUX
cana-4595	8	12	introduced	introduce	VERB
cana-4595	8	13	for	for	ADP
cana-4595	8	14	solving	solve	VERB
cana-4595	8	15	non	non	ADJ
cana-4595	8	16	linear	linear	ADJ
cana-4595	8	17	fractional	fractional	ADJ
cana-4595	8	18	differential	differential	ADJ
cana-4595	8	19	equations	equation	NOUN
cana-4595	8	20	(	(	PUNCT
cana-4595	8	21	nfde	nfde	NOUN
cana-4595	8	22	)	)	PUNCT
cana-4595	8	23	with	with	ADP
cana-4595	8	24	better	well	ADJ
cana-4595	8	25	sparsity	sparsity	NOUN
cana-4595	8	26	,	,	PUNCT
cana-4595	8	27	stability	stability	NOUN
cana-4595	8	28	and	and	CCONJ
cana-4595	8	29	computational	computational	ADJ
cana-4595	8	30	efficiency	efficiency	NOUN
cana-4595	8	31	.	.	PUNCT
cana-4595	9	1	the	the	DET
cana-4595	9	2	proposed	propose	VERB
cana-4595	9	3	method	method	NOUN
cana-4595	9	4	transforms	transform	VERB
cana-4595	9	5	nfdes	nfde	NOUN
cana-4595	9	6	into	into	ADP
cana-4595	9	7	tractable	tractable	ADJ
cana-4595	9	8	algebraic	algebraic	ADJ
cana-4595	9	9	systems	system	NOUN
cana-4595	9	10	by	by	ADP
cana-4595	9	11	constructing	construct	VERB
cana-4595	9	12	a	a	DET
cana-4595	9	13	fractional	fractional	ADJ
cana-4595	9	14	differentiation	differentiation	NOUN
cana-4595	9	15	operational	operational	ADJ
cana-4595	9	16	matrix	matrix	NOUN
cana-4595	9	17	using	use	VERB
cana-4595	9	18	gnocchi	gnocchi	NOUN
cana-4595	9	19	polynomials	polynomial	NOUN
cana-4595	9	20	.	.	PUNCT
cana-4595	10	1	the	the	DET
cana-4595	10	2	method	method	NOUN
cana-4595	10	3	is	be	AUX
cana-4595	10	4	validated	validate	VERB
cana-4595	10	5	by	by	ADP
cana-4595	10	6	theoretical	theoretical	ADJ
cana-4595	10	7	formulations	formulation	NOUN
cana-4595	10	8	,	,	PUNCT
cana-4595	10	9	spectral	spectral	ADJ
cana-4595	10	10	convergence	convergence	NOUN
cana-4595	10	11	analysis	analysis	NOUN
cana-4595	10	12	,	,	PUNCT
cana-4595	10	13	error	error	NOUN
cana-4595	10	14	estimation	estimation	NOUN
cana-4595	10	15	proofs	proof	NOUN
cana-4595	10	16	.	.	PUNCT
cana-4595	11	1	it	it	PRON
cana-4595	11	2	is	be	AUX
cana-4595	11	3	also	also	ADV
cana-4595	11	4	compared	compare	VERB
cana-4595	11	5	with	with	ADP
cana-4595	11	6	existing	exist	VERB
cana-4595	11	7	polynomial	polynomial	ADJ
cana-4595	11	8	based	base	VERB
cana-4595	11	9	approaches	approach	NOUN
cana-4595	11	10	to	to	PART
cana-4595	11	11	demonstrate	demonstrate	VERB
cana-4595	11	12	better	well	ADJ
cana-4595	11	13	performance	performance	NOUN
cana-4595	11	14	in	in	ADP
cana-4595	11	15	function	function	NOUN
cana-4595	11	16	approximation	approximation	NOUN
cana-4595	11	17	and	and	CCONJ
cana-4595	11	18	numerical	numerical	ADJ
cana-4595	11	19	stability	stability	NOUN
cana-4595	11	20	.	.	PUNCT
cana-4595	12	1	the	the	DET
cana-4595	12	2	gnocchi	gnocchi	NOUN
cana-4595	12	3	operational	operational	ADJ
cana-4595	12	4	matrix	matrix	NOUN
cana-4595	12	5	is	be	AUX
cana-4595	12	6	based	base	VERB
cana-4595	12	7	on	on	ADP
cana-4595	12	8	gnocchi	gnocchi	NOUN
cana-4595	12	9	,	,	PUNCT
cana-4595	12	10	and	and	CCONJ
cana-4595	12	11	it	it	PRON
cana-4595	12	12	achieves	achieve	VERB
cana-4595	12	13	exponential	exponential	ADJ
cana-4595	12	14	convergence	convergence	NOUN
cana-4595	12	15	,	,	PUNCT
cana-4595	12	16	reduced	reduce	VERB
cana-4595	12	17	computational	computational	ADJ
cana-4595	12	18	complexity	complexity	NOUN
cana-4595	12	19	and	and	CCONJ
cana-4595	12	20	increased	increase	VERB
cana-4595	12	21	numerical	numerical	ADJ
cana-4595	12	22	robustness	robustness	NOUN
cana-4595	12	23	compared	compare	VERB
cana-4595	12	24	to	to	ADP
cana-4595	12	25	classical	classical	ADJ
cana-4595	12	26	techniques	technique	NOUN
cana-4595	12	27	.	.	PUNCT
cana-4595	13	1	it	it	PRON
cana-4595	13	2	is	be	AUX
cana-4595	13	3	effective	effective	ADJ
cana-4595	13	4	in	in	ADP
cana-4595	13	5	fractional	fractional	ADJ
cana-4595	13	6	modeling	modeling	NOUN
cana-4595	13	7	because	because	SCONJ
cana-4595	13	8	it	it	PRON
cana-4595	13	9	can	can	AUX
cana-4595	13	10	accurately	accurately	ADV
cana-4595	13	11	approximate	approximate	VERB
cana-4595	13	12	non	non	ADJ
cana-4595	13	13	-	-	ADJ
cana-4595	13	14	linear	linear	ADJ
cana-4595	13	15	fractional	fractional	ADJ
cana-4595	13	16	operators	operator	NOUN
cana-4595	13	17	.	.	PUNCT
cana-4595	14	1	the	the	DET
cana-4595	14	2	author	author	NOUN
cana-4595	14	3	develops	develop	VERB
cana-4595	14	4	a	a	DET
cana-4595	14	5	mathematically	mathematically	ADV
cana-4595	14	6	rigorous	rigorous	ADJ
cana-4595	14	7	,	,	PUNCT
cana-4595	14	8	computationally	computationally	ADV
cana-4595	14	9	efficient	efficient	ADJ
cana-4595	14	10	framework	framework	NOUN
cana-4595	14	11	to	to	PART
cana-4595	14	12	solve	solve	VERB
cana-4595	14	13	nfdes	nfde	NOUN
cana-4595	14	14	.	.	PUNCT
cana-4595	15	1	further	further	ADJ
cana-4595	15	2	improvements	improvement	NOUN
cana-4595	15	3	will	will	AUX
cana-4595	15	4	be	be	AUX
cana-4595	15	5	done	do	VERB
cana-4595	15	6	by	by	ADP
cana-4595	15	7	other	other	ADJ
cana-4595	15	8	researchers	researcher	NOUN
cana-4595	15	9	in	in	ADP
cana-4595	15	10	the	the	DET
cana-4595	15	11	future	future	NOUN
cana-4595	15	12	for	for	ADP
cana-4595	15	13	higher	high	ADJ
cana-4595	15	14	dimension	dimension	NOUN
cana-4595	15	15	applications	application	NOUN
cana-4595	15	16	,	,	PUNCT
cana-4595	15	17	for	for	ADP
cana-4595	15	18	adaptive	adaptive	ADJ
cana-4595	15	19	techniques	technique	NOUN
cana-4595	15	20	in	in	ADP
cana-4595	15	21	the	the	DET
cana-4595	15	22	spectral	spectral	ADJ
cana-4595	15	23	method	method	NOUN
cana-4595	15	24	and	and	CCONJ
cana-4595	15	25	for	for	ADP
cana-4595	15	26	hybrid	hybrid	NOUN
cana-4595	15	27	ai	ai	VERB
cana-4595	15	28	assisted	assist	VERB
cana-4595	15	29	optimization	optimization	NOUN
cana-4595	15	30	.	.	PUNCT
cana-4595	16	1	keywords	keyword	NOUN
cana-4595	16	2	:	:	PUNCT
cana-4595	16	3	fractional	fractional	ADJ
cana-4595	16	4	differential	differential	ADJ
cana-4595	16	5	equations	equation	NOUN
cana-4595	16	6	,	,	PUNCT
cana-4595	16	7	gnocchi	gnocchi	NOUN
cana-4595	16	8	polynomials	polynomial	NOUN
cana-4595	16	9	,	,	PUNCT
cana-4595	16	10	operational	operational	ADJ
cana-4595	16	11	matrix	matrix	NOUN
cana-4595	16	12	,	,	PUNCT
cana-4595	16	13	numerical	numerical	ADJ
cana-4595	16	14	stability	stability	NOUN
cana-4595	16	15	,	,	PUNCT
cana-4595	16	16	spectral	spectral	ADJ
cana-4595	16	17	convergence	convergence	NOUN
cana-4595	16	18	,	,	PUNCT
cana-4595	16	19	computational	computational	ADJ
cana-4595	16	20	efficiency	efficiency	NOUN
cana-4595	16	21	,	,	PUNCT
cana-4595	16	22	non	non	ADJ
cana-4595	16	23	-	-	ADJ
cana-4595	16	24	linear	linear	ADJ
cana-4595	16	25	systems	system	NOUN
cana-4595	16	26	.	.	PUNCT
cana-4595	17	1	1	1	X
cana-4595	17	2	.	.	X
cana-4595	17	3	introduction	introduction	NOUN
cana-4595	17	4	recently	recently	ADV
cana-4595	17	5	,	,	PUNCT
cana-4595	17	6	fractional	fractional	ADJ
cana-4595	17	7	differential	differential	ADJ
cana-4595	17	8	equations	equation	NOUN
cana-4595	17	9	(	(	PUNCT
cana-4595	17	10	fdes	fde	NOUN
cana-4595	17	11	)	)	PUNCT
cana-4595	17	12	have	have	AUX
cana-4595	17	13	come	come	VERB
cana-4595	17	14	to	to	PART
cana-4595	17	15	be	be	AUX
cana-4595	17	16	regarded	regard	VERB
cana-4595	17	17	as	as	ADP
cana-4595	17	18	a	a	DET
cana-4595	17	19	beautiful	beautiful	ADJ
cana-4595	17	20	and	and	CCONJ
cana-4595	17	21	practical	practical	ADJ
cana-4595	17	22	mathematical	mathematical	ADJ
cana-4595	17	23	method	method	NOUN
cana-4595	17	24	to	to	PART
cana-4595	17	25	model	model	VERB
cana-4595	17	26	systems	system	NOUN
cana-4595	17	27	with	with	ADP
cana-4595	17	28	memory	memory	NOUN
cana-4595	17	29	and	and	CCONJ
cana-4595	17	30	hereditary	hereditary	ADJ
cana-4595	17	31	nature	nature	NOUN
cana-4595	17	32	.	.	PUNCT
cana-4595	18	1	fractional	fractional	ADJ
cana-4595	18	2	differential	differential	ADJ
cana-4595	18	3	equations	equation	NOUN
cana-4595	18	4	are	be	AUX
cana-4595	18	5	different	different	ADJ
cana-4595	18	6	from	from	ADP
cana-4595	18	7	the	the	DET
cana-4595	18	8	classical	classical	ADJ
cana-4595	18	9	integer	integer	NOUN
cana-4595	18	10	order	order	NOUN
cana-4595	18	11	differential	differential	ADJ
cana-4595	18	12	equations	equation	NOUN
cana-4595	18	13	in	in	ADP
cana-4595	18	14	that	that	PRON
cana-4595	18	15	they	they	PRON
cana-4595	18	16	contain	contain	VERB
cana-4595	18	17	a	a	DET
cana-4595	18	18	derivative	derivative	NOUN
cana-4595	18	19	of	of	ADP
cana-4595	18	20	arbitrary	arbitrary	ADJ
cana-4595	18	21	(	(	PUNCT
cana-4595	18	22	noninteger	noninteger	NOUN
cana-4595	18	23	)	)	PUNCT
cana-4595	18	24	order	order	NOUN
cana-4595	18	25	in	in	ADP
cana-4595	18	26	order	order	NOUN
cana-4595	18	27	to	to	PART
cana-4595	18	28	deal	deal	VERB
cana-4595	18	29	with	with	ADP
cana-4595	18	30	the	the	DET
cana-4595	18	31	intrinsic	intrinsic	ADJ
cana-4595	18	32	behavior	behavior	NOUN
cana-4595	18	33	of	of	ADP
cana-4595	18	34	most	most	ADJ
cana-4595	18	35	of	of	ADP
cana-4595	18	36	physical	physical	ADJ
cana-4595	18	37	and	and	CCONJ
cana-4595	18	38	engineering	engineering	NOUN
cana-4595	18	39	problems	problem	NOUN
cana-4595	18	40	.	.	PUNCT
cana-4595	19	1	in	in	ADP
cana-4595	19	2	the	the	DET
cana-4595	19	3	past	past	ADJ
cana-4595	19	4	couple	couple	NOUN
cana-4595	19	5	of	of	ADP
cana-4595	19	6	years	year	NOUN
cana-4595	19	7	,	,	PUNCT
cana-4595	19	8	several	several	ADJ
cana-4595	19	9	kinds	kind	NOUN
cana-4595	19	10	of	of	ADP
cana-4595	19	11	numerical	numerical	ADJ
cana-4595	19	12	and	and	CCONJ
cana-4595	19	13	analytical	analytical	ADJ
cana-4595	19	14	approaches	approach	NOUN
cana-4595	19	15	like	like	ADP
cana-4595	19	16	operational	operational	ADJ
cana-4595	19	17	matrix	matrix	NOUN
cana-4595	19	18	and	and	CCONJ
cana-4595	19	19	spectral	spectral	ADJ
cana-4595	19	20	methods	method	NOUN
cana-4595	19	21	,	,	PUNCT
cana-4595	19	22	and	and	CCONJ
cana-4595	19	23	finite	finite	ADJ
cana-4595	19	24	difference	difference	NOUN
cana-4595	19	25	schemes	scheme	NOUN
cana-4595	19	26	[	[	X
cana-4595	19	27	1	1	NUM
cana-4595	19	28	]	]	PUNCT
cana-4595	19	29	are	be	AUX
cana-4595	19	30	proposed	propose	VERB
cana-4595	19	31	to	to	PART
cana-4595	19	32	approximate	approximate	VERB
cana-4595	19	33	the	the	DET
cana-4595	19	34	solutions	solution	NOUN
cana-4595	19	35	of	of	ADP
cana-4595	19	36	fdes	fde	NOUN
cana-4595	19	37	.	.	PUNCT
cana-4595	20	1	on	on	ADP
cana-4595	20	2	the	the	DET
cana-4595	20	3	other	other	ADJ
cana-4595	20	4	hand	hand	NOUN
cana-4595	20	5	,	,	PUNCT
cana-4595	20	6	traditional	traditional	ADJ
cana-4595	20	7	polynomial	polynomial	ADJ
cana-4595	20	8	based	base	VERB
cana-4595	20	9	approaches	approach	NOUN
cana-4595	20	10	are	be	AUX
cana-4595	20	11	not	not	PART
cana-4595	20	12	competent	competent	ADJ
cana-4595	20	13	with	with	ADP
cana-4595	20	14	highly	highly	ADV
cana-4595	20	15	non	non	ADJ
cana-4595	20	16	linear	linear	PROPN
cana-4595	20	17	systems	system	NOUN
cana-4595	20	18	because	because	SCONJ
cana-4595	20	19	polynomial	polynomial	ADJ
cana-4595	20	20	functions	function	NOUN
cana-4595	20	21	are	be	AUX
cana-4595	20	22	not	not	PART
cana-4595	20	23	easily	easily	ADV
cana-4595	20	24	formed	form	VERB
cana-4595	20	25	with	with	ADP
cana-4595	20	26	fractional	fractional	ADJ
cana-4595	20	27	operators	operator	NOUN
cana-4595	20	28	.	.	PUNCT
cana-4595	21	1	for	for	ADP
cana-4595	21	2	the	the	DET
cana-4595	21	3	purpose	purpose	NOUN
cana-4595	21	4	of	of	ADP
cana-4595	21	5	removing	remove	VERB
cana-4595	21	6	these	these	DET
cana-4595	21	7	limitations	limitation	NOUN
cana-4595	21	8	we	we	PRON
cana-4595	21	9	suggest	suggest	VERB
cana-4595	21	10	a	a	DET
cana-4595	21	11	new	new	ADJ
cana-4595	21	12	operational	operational	ADJ
cana-4595	21	13	matrix	matrix	NOUN
cana-4595	21	14	in	in	ADP
cana-4595	21	15	terms	term	NOUN
cana-4595	21	16	of	of	ADP
cana-4595	21	17	gnocchi	gnocchi	NOUN
cana-4595	21	18	polynomials	polynomial	NOUN
cana-4595	21	19	for	for	ADP
cana-4595	21	20	solving	solve	VERB
cana-4595	21	21	nonlinear	nonlinear	ADJ
cana-4595	21	22	fractional	fractional	ADJ
cana-4595	21	23	differential	differential	ADJ
cana-4595	21	24	equations	equation	NOUN
cana-4595	21	25	in	in	ADP
cana-4595	21	26	a	a	DET
cana-4595	21	27	highly	highly	ADV
cana-4595	21	28	accurate	accurate	ADJ
cana-4595	21	29	manner	manner	NOUN
cana-4595	21	30	.	.	PUNCT
cana-4595	22	1	mathematical	mathematical	ADJ
cana-4595	22	2	background	background	NOUN
cana-4595	22	3	1	1	NUM
cana-4595	22	4	.	.	PUNCT
cana-4595	22	5	fractional	fractional	ADJ
cana-4595	22	6	calculus	calculus	NOUN
cana-4595	22	7	preliminaries	preliminary	NOUN
cana-4595	22	8	fractional	fractional	ADJ
cana-4595	22	9	calculus	calculus	NOUN
cana-4595	22	10	is	be	AUX
cana-4595	22	11	calculus	calculus	NOUN
cana-4595	22	12	in	in	ADP
cana-4595	22	13	which	which	PRON
cana-4595	22	14	we	we	PRON
cana-4595	22	15	consider	consider	VERB
cana-4595	22	16	differentiation	differentiation	NOUN
cana-4595	22	17	and	and	CCONJ
cana-4595	22	18	integration	integration	NOUN
cana-4595	22	19	to	to	ADP
cana-4595	22	20	arbitrary	arbitrary	ADJ
cana-4595	22	21	orders	order	NOUN
cana-4595	22	22	.	.	PUNCT
cana-4595	23	1	there	there	PRON
cana-4595	23	2	are	be	VERB
cana-4595	23	3	a	a	DET
cana-4595	23	4	number	number	NOUN
cana-4595	23	5	of	of	ADP
cana-4595	23	6	commonly	commonly	ADV
cana-4595	23	7	used	use	VERB
cana-4595	23	8	definitions	definition	NOUN
cana-4595	23	9	for	for	ADP
cana-4595	23	10	fractional	fractional	ADJ
cana-4595	23	11	derivatives	derivative	NOUN
cana-4595	23	12	among	among	ADP
cana-4595	23	13	which	which	PRON
cana-4595	23	14	are	be	AUX
cana-4595	23	15	:	:	PUNCT
cana-4595	23	16	•	•	NUM
cana-4595	23	17	riemann	riemann	PROPN
cana-4595	23	18	-	-	PUNCT
cana-4595	23	19	liouville	liouville	VERB
cana-4595	23	20	fractional	fractional	ADJ
cana-4595	23	21	derivative	derivative	ADJ
cana-4595	23	22	𝑅𝐿𝐷𝛼𝑓(𝑥	𝑅𝐿𝐷𝛼𝑓(𝑥	NOUN
cana-4595	23	23	)	)	PUNCT
cana-4595	23	24	=	=	SYM
cana-4595	23	25	1	1	NUM
cana-4595	23	26	γ(𝑛	γ(𝑛	PROPN
cana-4595	23	27	−	−	X
cana-4595	23	28	𝛼	𝛼	NOUN
cana-4595	23	29	)	)	PUNCT
cana-4595	23	30	𝑑𝑛	𝑑𝑛	X
cana-4595	23	31	𝑑𝑥𝑛	𝑑𝑥𝑛	VERB
cana-4595	23	32	∫	∫	PROPN
cana-4595	23	33	  	  	SPACE
cana-4595	23	34	𝑥	𝑥	PROPN
cana-4595	23	35	0	0	PUNCT
cana-4595	24	1	(	(	PUNCT
cana-4595	24	2	𝑥	𝑥	NOUN
cana-4595	24	3	−	−	PROPN
cana-4595	24	4	𝑡)𝑛−𝛼−1𝑓(𝑡)𝑑𝑡	𝑡)𝑛−𝛼−1𝑓(𝑡)𝑑𝑡	NOUN
cana-4595	24	5	,	,	PUNCT
cana-4595	24	6	𝑛	𝑛	PRON
cana-4595	24	7	−	−	PROPN
cana-4595	24	8	1	1	NUM
cana-4595	24	9	<	<	X
cana-4595	24	10	𝛼	𝛼	X
cana-4595	24	11	<	<	X
cana-4595	24	12	𝑛	𝑛	PRON
cana-4595	24	13	communications	communication	NOUN
cana-4595	24	14	on	on	ADP
cana-4595	24	15	applied	apply	VERB
cana-4595	24	16	nonlinear	nonlinear	ADJ
cana-4595	24	17	analysis	analysis	NOUN
cana-4595	24	18	issn	issn	NOUN
cana-4595	24	19	:	:	PUNCT
cana-4595	24	20	1074	1074	NUM
cana-4595	24	21	-	-	PUNCT
cana-4595	24	22	133x	133x	NUM
cana-4595	24	23	vol	vol	NOUN
cana-4595	24	24	32	32	NUM
cana-4595	24	25	no	no	NOUN
cana-4595	24	26	.	.	PUNCT
cana-4595	25	1	9s	9s	NUM
cana-4595	25	2	(	(	PUNCT
cana-4595	25	3	2025	2025	NUM
cana-4595	25	4	)	)	PUNCT
cana-4595	25	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	25	6	2970	2970	NUM
cana-4595	25	7	where	where	SCONJ
cana-4595	25	8	γ(⋅	γ(⋅	NOUN
cana-4595	25	9	)	)	PUNCT
cana-4595	25	10	is	be	AUX
cana-4595	25	11	the	the	DET
cana-4595	25	12	gamma	gamma	PROPN
cana-4595	25	13	function	function	NOUN
cana-4595	25	14	.	.	PUNCT
cana-4595	26	1	•	•	NUM
cana-4595	26	2	caputo	caputo	PROPN
cana-4595	26	3	fractional	fractional	ADJ
cana-4595	26	4	derivative	derivative	ADJ
cana-4595	26	5	𝐶𝐷𝛼𝑓(𝑥	𝐶𝐷𝛼𝑓(𝑥	NOUN
cana-4595	26	6	)	)	PUNCT
cana-4595	26	7	=	=	SYM
cana-4595	26	8	1	1	NUM
cana-4595	26	9	γ(𝑛	γ(𝑛	PROPN
cana-4595	26	10	−	−	ADP
cana-4595	26	11	𝛼	𝛼	NOUN
cana-4595	26	12	)	)	PUNCT
cana-4595	26	13	∫	∫	PROPN
cana-4595	26	14	  	  	SPACE
cana-4595	27	1	𝑥	𝑥	PROPN
cana-4595	27	2	0	0	PUNCT
cana-4595	28	1	(	(	PUNCT
cana-4595	28	2	𝑥	𝑥	NOUN
cana-4595	28	3	−	−	NOUN
cana-4595	28	4	𝑡)𝑛−𝛼−1𝑓(𝑛)(𝑡)𝑑𝑡	𝑡)𝑛−𝛼−1𝑓(𝑛)(𝑡)𝑑𝑡	ADJ
cana-4595	28	5	,	,	PUNCT
cana-4595	28	6	𝑛	𝑛	PRON
cana-4595	28	7	−	−	PROPN
cana-4595	28	8	1	1	NUM
cana-4595	28	9	<	<	X
cana-4595	28	10	𝛼	𝛼	X
cana-4595	28	11	<	<	X
cana-4595	28	12	𝑛	𝑛	PROPN
cana-4595	28	13	caputo	caputo	PROPN
cana-4595	28	14	derivative	derivative	NOUN
cana-4595	28	15	is	be	AUX
cana-4595	28	16	especially	especially	ADV
cana-4595	28	17	useful	useful	ADJ
cana-4595	28	18	to	to	ADP
cana-4595	28	19	schematise	schematise	VERB
cana-4595	28	20	physical	physical	ADJ
cana-4595	28	21	process	process	NOUN
cana-4595	28	22	,	,	PUNCT
cana-4595	28	23	because	because	SCONJ
cana-4595	28	24	initial	initial	ADJ
cana-4595	28	25	conditions	condition	NOUN
cana-4595	28	26	are	be	AUX
cana-4595	28	27	defined	define	VERB
cana-4595	28	28	in	in	ADP
cana-4595	28	29	the	the	DET
cana-4595	28	30	same	same	ADJ
cana-4595	28	31	form	form	NOUN
cana-4595	28	32	as	as	ADP
cana-4595	28	33	classical	classical	ADJ
cana-4595	28	34	differential	differential	ADJ
cana-4595	28	35	equations	equation	NOUN
cana-4595	29	1	[	[	X
cana-4595	29	2	2	2	NUM
cana-4595	29	3	]	]	PUNCT
cana-4595	29	4	.	.	PUNCT
cana-4595	29	5	2	2	X
cana-4595	29	6	.	.	X
cana-4595	29	7	gnocchi	gnocchi	NOUN
cana-4595	29	8	polynomials	polynomial	NOUN
cana-4595	29	9	and	and	CCONJ
cana-4595	29	10	their	their	PRON
cana-4595	29	11	properties	property	NOUN
cana-4595	29	12	the	the	DET
cana-4595	29	13	gnocchi	gnocchi	NOUN
cana-4595	29	14	polynomials	polynomial	VERB
cana-4595	29	15	𝐺𝑛(𝑥	𝐺𝑛(𝑥	NOUN
cana-4595	29	16	)	)	PUNCT
cana-4595	29	17	are	be	AUX
cana-4595	29	18	a	a	DET
cana-4595	29	19	class	class	NOUN
cana-4595	29	20	of	of	ADP
cana-4595	29	21	orthogonal	orthogonal	ADJ
cana-4595	29	22	polynomials	polynomial	NOUN
cana-4595	29	23	that	that	PRON
cana-4595	29	24	provide	provide	VERB
cana-4595	29	25	a	a	DET
cana-4595	29	26	robust	robust	ADJ
cana-4595	29	27	basis	basis	NOUN
cana-4595	29	28	for	for	ADP
cana-4595	29	29	function	function	NOUN
cana-4595	29	30	approximation	approximation	NOUN
cana-4595	29	31	.	.	PUNCT
cana-4595	30	1	these	these	DET
cana-4595	30	2	polynomials	polynomial	NOUN
cana-4595	30	3	satisfy	satisfy	VERB
cana-4595	30	4	the	the	DET
cana-4595	30	5	recurrence	recurrence	NOUN
cana-4595	30	6	relation	relation	NOUN
cana-4595	30	7	:	:	PUNCT
cana-4595	30	8	𝐺𝑛+1(𝑥	𝐺𝑛+1(𝑥	NOUN
cana-4595	30	9	)	)	PUNCT
cana-4595	30	10	=	=	SYM
cana-4595	31	1	(	(	PUNCT
cana-4595	31	2	2𝑛	2𝑛	PROPN
cana-4595	31	3	+	+	CCONJ
cana-4595	31	4	1)𝑥𝐺𝑛(𝑥	1)𝑥𝐺𝑛(𝑥	NUM
cana-4595	31	5	)	)	PUNCT
cana-4595	31	6	−	−	NOUN
cana-4595	31	7	𝑛𝐺𝑛−1(𝑥	𝑛𝐺𝑛−1(𝑥	NUM
cana-4595	31	8	)	)	PUNCT
cana-4595	31	9	,	,	PUNCT
cana-4595	31	10	𝐺0(𝑥	𝐺0(𝑥	NUM
cana-4595	31	11	)	)	PUNCT
cana-4595	31	12	=	=	SYM
cana-4595	31	13	1	1	NUM
cana-4595	31	14	,	,	PUNCT
cana-4595	31	15	𝐺1(𝑥	𝐺1(𝑥	NUM
cana-4595	31	16	)	)	PUNCT
cana-4595	32	1	=	=	PUNCT
cana-4595	32	2	𝑥.	𝑥.	NOUN
cana-4595	32	3	they	they	PRON
cana-4595	32	4	have	have	AUX
cana-4595	32	5	been	be	AUX
cana-4595	32	6	extensively	extensively	ADV
cana-4595	32	7	used	use	VERB
cana-4595	32	8	in	in	ADP
cana-4595	32	9	solving	solve	VERB
cana-4595	32	10	integral	integral	ADJ
cana-4595	32	11	equations	equation	NOUN
cana-4595	32	12	and	and	CCONJ
cana-4595	32	13	in	in	ADP
cana-4595	32	14	the	the	DET
cana-4595	32	15	spectral	spectral	ADJ
cana-4595	32	16	representation	representation	NOUN
cana-4595	32	17	of	of	ADP
cana-4595	32	18	differential	differential	ADJ
cana-4595	32	19	operators	operator	NOUN
cana-4595	32	20	[	[	X
cana-4595	32	21	3	3	NUM
cana-4595	32	22	]	]	PUNCT
cana-4595	32	23	.	.	PUNCT
cana-4595	33	1	the	the	DET
cana-4595	33	2	formation	formation	NOUN
cana-4595	33	3	of	of	ADP
cana-4595	33	4	an	an	DET
cana-4595	33	5	operational	operational	ADJ
cana-4595	33	6	matrix	matrix	NOUN
cana-4595	33	7	of	of	ADP
cana-4595	33	8	fractional	fractional	ADJ
cana-4595	33	9	integration	integration	NOUN
cana-4595	33	10	of	of	ADP
cana-4595	33	11	gnocchi	gnocchi	NOUN
cana-4595	33	12	polynomials	polynomial	NOUN
cana-4595	33	13	is	be	AUX
cana-4595	33	14	another	another	DET
cana-4595	33	15	crucial	crucial	ADJ
cana-4595	33	16	property	property	NOUN
cana-4595	33	17	which	which	PRON
cana-4595	33	18	provides	provide	VERB
cana-4595	33	19	a	a	DET
cana-4595	33	20	tool	tool	NOUN
cana-4595	33	21	for	for	ADP
cana-4595	33	22	transforming	transform	VERB
cana-4595	33	23	fractional	fractional	ADJ
cana-4595	33	24	differential	differential	ADJ
cana-4595	33	25	equations	equation	NOUN
cana-4595	33	26	to	to	ADP
cana-4595	33	27	an	an	DET
cana-4595	33	28	algebraic	algebraic	ADJ
cana-4595	33	29	system	system	NOUN
cana-4595	33	30	.	.	PUNCT
cana-4595	34	1	given	give	VERB
cana-4595	34	2	a	a	DET
cana-4595	34	3	function	function	NOUN
cana-4595	34	4	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	34	5	)	)	PUNCT
cana-4595	34	6	expanded	expand	VERB
cana-4595	34	7	in	in	ADP
cana-4595	34	8	terms	term	NOUN
cana-4595	34	9	of	of	ADP
cana-4595	34	10	gnocchi	gnocchi	NOUN
cana-4595	34	11	polynomials	polynomial	NOUN
cana-4595	34	12	:	:	PUNCT
cana-4595	34	13	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	34	14	)	)	PUNCT
cana-4595	35	1	=	=	PUNCT
cana-4595	35	2	∑	∑	PUNCT
cana-4595	35	3	  	  	SPACE
cana-4595	35	4	∞	∞	NUM
cana-4595	35	5	𝑛=0	𝑛=0	PROPN
cana-4595	35	6	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	PROPN
cana-4595	35	7	)	)	PUNCT
cana-4595	35	8	its	its	PRON
cana-4595	35	9	fractional	fractional	ADJ
cana-4595	35	10	integral	integral	NOUN
cana-4595	35	11	of	of	ADP
cana-4595	35	12	order	order	NOUN
cana-4595	35	13	𝛼	𝛼	NOUN
cana-4595	35	14	can	can	AUX
cana-4595	35	15	be	be	AUX
cana-4595	35	16	approximated	approximate	VERB
cana-4595	35	17	using	use	VERB
cana-4595	35	18	the	the	DET
cana-4595	35	19	operational	operational	ADJ
cana-4595	35	20	matrix	matrix	NOUN
cana-4595	35	21	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	35	22	)	)	PUNCT
cana-4595	35	23	:	:	PUNCT
cana-4595	35	24	𝐷−𝛼𝑓(𝑥	𝐷−𝛼𝑓(𝑥	X
cana-4595	35	25	)	)	PUNCT
cana-4595	35	26	≈	≈	PROPN
cana-4595	35	27	𝑃(𝛼)𝐶	𝑃(𝛼)𝐶	NUM
cana-4595	35	28	where	where	SCONJ
cana-4595	35	29	𝐶	𝐶	PROPN
cana-4595	35	30	=	=	PUNCT
cana-4595	36	1	[	[	X
cana-4595	36	2	𝑐0	𝑐0	NOUN
cana-4595	36	3	,	,	PUNCT
cana-4595	36	4	𝑐1	𝑐1	NOUN
cana-4595	36	5	,	,	PUNCT
cana-4595	36	6	…	…	PUNCT
cana-4595	36	7	,	,	PUNCT
cana-4595	36	8	𝑐𝑛]𝑇	𝑐𝑛]𝑇	NOUN
cana-4595	36	9	represents	represent	VERB
cana-4595	36	10	the	the	DET
cana-4595	36	11	vector	vector	NOUN
cana-4595	36	12	of	of	ADP
cana-4595	36	13	coefficients	coefficient	NOUN
cana-4595	36	14	in	in	ADP
cana-4595	36	15	the	the	DET
cana-4595	36	16	polynomial	polynomial	ADJ
cana-4595	36	17	expansion	expansion	NOUN
cana-4595	36	18	.	.	PUNCT
cana-4595	37	1	3	3	X
cana-4595	37	2	.	.	X
cana-4595	37	3	the	the	DET
cana-4595	37	4	need	need	NOUN
cana-4595	37	5	for	for	ADP
cana-4595	37	6	a	a	DET
cana-4595	37	7	new	new	ADJ
cana-4595	37	8	operational	operational	ADJ
cana-4595	37	9	matrix	matrix	NOUN
cana-4595	37	10	existing	exist	VERB
cana-4595	37	11	numerical	numerical	ADJ
cana-4595	37	12	methods	method	NOUN
cana-4595	37	13	,	,	PUNCT
cana-4595	37	14	such	such	ADJ
cana-4595	37	15	as	as	ADP
cana-4595	37	16	legendre	legendre	PROPN
cana-4595	37	17	,	,	PUNCT
cana-4595	37	18	chebyshev	chebyshev	PROPN
cana-4595	37	19	,	,	PUNCT
cana-4595	37	20	and	and	CCONJ
cana-4595	37	21	laguerre	laguerre	NOUN
cana-4595	37	22	polynomial	polynomial	ADJ
cana-4595	37	23	-	-	PUNCT
cana-4595	37	24	based	base	VERB
cana-4595	37	25	approaches	approach	NOUN
cana-4595	37	26	,	,	PUNCT
cana-4595	37	27	often	often	ADV
cana-4595	37	28	struggle	struggle	VERB
cana-4595	37	29	with	with	ADP
cana-4595	37	30	high	high	ADJ
cana-4595	37	31	computational	computational	ADJ
cana-4595	37	32	complexity	complexity	NOUN
cana-4595	37	33	and	and	CCONJ
cana-4595	37	34	numerical	numerical	ADJ
cana-4595	37	35	instability	instability	NOUN
cana-4595	37	36	in	in	ADP
cana-4595	37	37	solving	solve	VERB
cana-4595	37	38	fdes	fde	NOUN
cana-4595	37	39	[	[	X
cana-4595	37	40	4	4	NUM
cana-4595	37	41	]	]	PUNCT
cana-4595	37	42	.	.	PUNCT
cana-4595	38	1	to	to	PART
cana-4595	38	2	address	address	VERB
cana-4595	38	3	these	these	DET
cana-4595	38	4	challenges	challenge	NOUN
cana-4595	38	5	,	,	PUNCT
cana-4595	38	6	we	we	PRON
cana-4595	38	7	propose	propose	VERB
cana-4595	38	8	a	a	DET
cana-4595	38	9	new	new	ADJ
cana-4595	38	10	gnocchi	gnocchi	NOUN
cana-4595	38	11	polynomial	polynomial	ADJ
cana-4595	38	12	-	-	PUNCT
cana-4595	38	13	based	base	VERB
cana-4595	38	14	operational	operational	ADJ
cana-4595	38	15	matrix	matrix	NOUN
cana-4595	38	16	that	that	PRON
cana-4595	38	17	:	:	PUNCT
cana-4595	38	18	•	•	NOUN
cana-4595	38	19	efficiently	efficiently	ADV
cana-4595	38	20	approximates	approximate	VERB
cana-4595	38	21	fractional	fractional	ADJ
cana-4595	38	22	derivatives	derivative	NOUN
cana-4595	38	23	and	and	CCONJ
cana-4595	38	24	integrals	integral	NOUN
cana-4595	38	25	.	.	PUNCT
cana-4595	39	1	•	•	NUM
cana-4595	39	2	reduces	reduce	VERB
cana-4595	39	3	computational	computational	ADJ
cana-4595	39	4	overhead	overhead	NOUN
cana-4595	39	5	compared	compare	VERB
cana-4595	39	6	to	to	ADP
cana-4595	39	7	classical	classical	ADJ
cana-4595	39	8	polynomial	polynomial	ADJ
cana-4595	39	9	methods	method	NOUN
cana-4595	39	10	.	.	PUNCT
cana-4595	40	1	•	•	NUM
cana-4595	40	2	provides	provide	VERB
cana-4595	40	3	better	well	ADJ
cana-4595	40	4	convergence	convergence	NOUN
cana-4595	40	5	for	for	ADP
cana-4595	40	6	non	non	ADJ
cana-4595	40	7	-	-	ADJ
cana-4595	40	8	linear	linear	ADJ
cana-4595	40	9	fractional	fractional	ADJ
cana-4595	40	10	differential	differential	ADJ
cana-4595	40	11	equations	equation	NOUN
cana-4595	40	12	.	.	PUNCT
cana-4595	41	1	the	the	DET
cana-4595	41	2	operational	operational	ADJ
cana-4595	41	3	matrix	matrix	NOUN
cana-4595	41	4	developed	develop	VERB
cana-4595	41	5	in	in	ADP
cana-4595	41	6	this	this	DET
cana-4595	41	7	work	work	NOUN
cana-4595	41	8	provides	provide	VERB
cana-4595	41	9	a	a	DET
cana-4595	41	10	novel	novel	ADJ
cana-4595	41	11	framework	framework	NOUN
cana-4595	41	12	for	for	ADP
cana-4595	41	13	approximating	approximate	VERB
cana-4595	41	14	fractional	fractional	ADJ
cana-4595	41	15	differential	differential	ADJ
cana-4595	41	16	operators	operator	NOUN
cana-4595	41	17	and	and	CCONJ
cana-4595	41	18	transforming	transform	VERB
cana-4595	41	19	non	non	ADJ
cana-4595	41	20	-	-	ADJ
cana-4595	41	21	linear	linear	ADJ
cana-4595	41	22	fdes	fde	NOUN
cana-4595	41	23	into	into	ADP
cana-4595	41	24	solvable	solvable	ADJ
cana-4595	41	25	algebraic	algebraic	ADJ
cana-4595	41	26	systems	system	NOUN
cana-4595	41	27	.	.	PUNCT
cana-4595	42	1	2	2	X
cana-4595	42	2	.	.	X
cana-4595	42	3	mathematical	mathematical	ADJ
cana-4595	42	4	preliminaries	preliminary	NOUN
cana-4595	42	5	2.1	2.1	NUM
cana-4595	42	6	fractional	fractional	ADJ
cana-4595	42	7	calculus	calculus	NOUN
cana-4595	42	8	basics	basic	NOUN
cana-4595	42	9	fractional	fractional	ADJ
cana-4595	42	10	calculus	calculus	NOUN
cana-4595	42	11	(	(	PUNCT
cana-4595	42	12	or	or	CCONJ
cana-4595	42	13	sometimes	sometimes	ADV
cana-4595	42	14	fractal	fractal	ADJ
cana-4595	42	15	calculus	calculus	NOUN
cana-4595	42	16	)	)	PUNCT
cana-4595	42	17	is	be	AUX
cana-4595	42	18	a	a	DET
cana-4595	42	19	branch	branch	NOUN
cana-4595	42	20	of	of	ADP
cana-4595	42	21	mathematical	mathematical	ADJ
cana-4595	42	22	analysis	analysis	NOUN
cana-4595	42	23	that	that	PRON
cana-4595	42	24	studies	study	VERB
cana-4595	42	25	the	the	DET
cana-4595	42	26	possibility	possibility	NOUN
cana-4595	42	27	of	of	ADP
cana-4595	42	28	taking	take	VERB
cana-4595	42	29	an	an	DET
cana-4595	42	30	arbitrary	arbitrary	ADJ
cana-4595	42	31	(	(	PUNCT
cana-4595	42	32	non	non	X
cana-4595	42	33	integer	integer	NOUN
cana-4595	42	34	)	)	PUNCT
cana-4595	42	35	order	order	NOUN
cana-4595	42	36	of	of	ADP
cana-4595	42	37	differentiation	differentiation	NOUN
cana-4595	42	38	or	or	CCONJ
cana-4595	42	39	integration	integration	NOUN
cana-4595	42	40	.	.	PUNCT
cana-4595	43	1	in	in	ADP
cana-4595	43	2	contrast	contrast	NOUN
cana-4595	43	3	to	to	ADP
cana-4595	43	4	integer	integer	NOUN
cana-4595	43	5	order	order	NOUN
cana-4595	43	6	derivatives	derivative	NOUN
cana-4595	43	7	,	,	PUNCT
cana-4595	43	8	fractional	fractional	ADJ
cana-4595	43	9	derivatives	derivative	NOUN
cana-4595	43	10	are	be	AUX
cana-4595	43	11	a	a	DET
cana-4595	43	12	more	more	ADV
cana-4595	43	13	accurate	accurate	ADJ
cana-4595	43	14	description	description	NOUN
cana-4595	43	15	of	of	ADP
cana-4595	43	16	memory	memory	NOUN
cana-4595	43	17	and	and	CCONJ
cana-4595	43	18	hereditary	hereditary	ADJ
cana-4595	43	19	effects	effect	NOUN
cana-4595	43	20	of	of	ADP
cana-4595	43	21	complex	complex	ADJ
cana-4595	43	22	systems	system	NOUN
cana-4595	43	23	.	.	PUNCT
cana-4595	44	1	fractional	fractional	ADJ
cana-4595	44	2	integrals	integral	NOUN
cana-4595	44	3	and	and	CCONJ
cana-4595	44	4	derivatives	derivative	NOUN
cana-4595	44	5	are	be	AUX
cana-4595	44	6	defined	define	VERB
cana-4595	44	7	formally	formally	ADV
cana-4595	44	8	using	use	VERB
cana-4595	44	9	integral	integral	ADJ
cana-4595	44	10	transforms	transform	NOUN
cana-4595	44	11	,	,	PUNCT
cana-4595	44	12	convolution	convolution	NOUN
cana-4595	44	13	operations	operation	NOUN
cana-4595	44	14	and	and	CCONJ
cana-4595	44	15	series	series	NOUN
cana-4595	44	16	expansions	expansion	NOUN
cana-4595	44	17	[	[	X
cana-4595	44	18	5	5	NUM
cana-4595	44	19	]	]	PUNCT
cana-4595	44	20	.	.	PUNCT
cana-4595	45	1	the	the	DET
cana-4595	45	2	most	most	ADV
cana-4595	45	3	commonly	commonly	ADV
cana-4595	45	4	used	use	VERB
cana-4595	45	5	definitions	definition	NOUN
cana-4595	45	6	in	in	ADP
cana-4595	45	7	fractional	fractional	ADJ
cana-4595	45	8	calculus	calculus	NOUN
cana-4595	45	9	are	be	AUX
cana-4595	45	10	riemann	riemann	NOUN
cana-4595	45	11	-	-	PUNCT
cana-4595	45	12	liouville	liouville	PROPN
cana-4595	45	13	,	,	PUNCT
cana-4595	45	14	caputo	caputo	PROPN
cana-4595	45	15	and	and	CCONJ
cana-4595	45	16	grünwald	grünwald	NOUN
cana-4595	45	17	-	-	PUNCT
cana-4595	45	18	letnikov	letnikov	NOUN
cana-4595	45	19	derivatives	derivative	NOUN
cana-4595	45	20	.	.	PUNCT
cana-4595	46	1	2.1.1	2.1.1	NUM
cana-4595	46	2	definition	definition	NOUN
cana-4595	46	3	of	of	ADP
cana-4595	46	4	fractional	fractional	ADJ
cana-4595	46	5	integrals	integral	NOUN
cana-4595	46	6	the	the	DET
cana-4595	46	7	fractional	fractional	ADJ
cana-4595	46	8	integral	integral	NOUN
cana-4595	46	9	of	of	ADP
cana-4595	46	10	order	order	NOUN
cana-4595	46	11	𝛼	𝛼	VERB
cana-4595	46	12	>	>	X
cana-4595	46	13	0	0	NUM
cana-4595	46	14	of	of	ADP
cana-4595	46	15	a	a	DET
cana-4595	46	16	function	function	NOUN
cana-4595	46	17	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	46	18	)	)	PUNCT
cana-4595	46	19	is	be	AUX
cana-4595	46	20	given	give	VERB
cana-4595	46	21	by	by	ADP
cana-4595	46	22	the	the	DET
cana-4595	46	23	riemann	riemann	PROPN
cana-4595	46	24	-	-	PUNCT
cana-4595	46	25	liouville	liouville	VERB
cana-4595	46	26	fractional	fractional	ADJ
cana-4595	46	27	integral	integral	ADJ
cana-4595	46	28	:	:	PUNCT
cana-4595	46	29	𝐼𝛼𝑓(𝑥	𝐼𝛼𝑓(𝑥	NOUN
cana-4595	46	30	)	)	PUNCT
cana-4595	46	31	=	=	SYM
cana-4595	46	32	1	1	NUM
cana-4595	46	33	γ(𝛼	γ(𝛼	NUM
cana-4595	46	34	)	)	PUNCT
cana-4595	46	35	∫	∫	PROPN
cana-4595	46	36	  	  	SPACE
cana-4595	47	1	𝑥	𝑥	PROPN
cana-4595	47	2	0	0	PUNCT
cana-4595	48	1	(	(	PUNCT
cana-4595	48	2	𝑥	𝑥	PRON
cana-4595	48	3	−	−	NOUN
cana-4595	48	4	𝑡)𝛼−1𝑓(𝑡)𝑑𝑡	𝑡)𝛼−1𝑓(𝑡)𝑑𝑡	NOUN
cana-4595	48	5	,	,	PUNCT
cana-4595	48	6	𝑥	𝑥	X
cana-4595	48	7	>	>	X
cana-4595	48	8	0	0	NUM
cana-4595	48	9	where	where	SCONJ
cana-4595	48	10	γ(𝛼	γ(𝛼	NUM
cana-4595	48	11	)	)	PUNCT
cana-4595	48	12	is	be	AUX
cana-4595	48	13	the	the	DET
cana-4595	48	14	gamma	gamma	PROPN
cana-4595	48	15	function	function	NOUN
cana-4595	48	16	,	,	PUNCT
cana-4595	48	17	defined	define	VERB
cana-4595	48	18	as	as	ADP
cana-4595	48	19	:	:	PUNCT
cana-4595	48	20	communications	communication	NOUN
cana-4595	48	21	on	on	ADP
cana-4595	48	22	applied	apply	VERB
cana-4595	48	23	nonlinear	nonlinear	ADJ
cana-4595	48	24	analysis	analysis	NOUN
cana-4595	48	25	issn	issn	NOUN
cana-4595	48	26	:	:	PUNCT
cana-4595	48	27	1074	1074	NUM
cana-4595	48	28	-	-	PUNCT
cana-4595	48	29	133x	133x	NUM
cana-4595	48	30	vol	vol	NOUN
cana-4595	48	31	32	32	NUM
cana-4595	48	32	no	no	NOUN
cana-4595	48	33	.	.	PUNCT
cana-4595	49	1	9s	9s	NUM
cana-4595	49	2	(	(	PUNCT
cana-4595	49	3	2025	2025	NUM
cana-4595	49	4	)	)	PUNCT
cana-4595	49	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	49	6	2971	2971	NUM
cana-4595	49	7	γ(𝛼	γ(𝛼	NUM
cana-4595	49	8	)	)	PUNCT
cana-4595	49	9	=	=	SYM
cana-4595	50	1	∫	∫	AUX
cana-4595	50	2	  	  	SPACE
cana-4595	50	3	∞	∞	PROPN
cana-4595	50	4	0	0	NUM
cana-4595	50	5	𝑡𝛼−1𝑒−𝑡𝑑𝑡	𝑡𝛼−1𝑒−𝑡𝑑𝑡	NOUN
cana-4595	50	6	fractional	fractional	ADJ
cana-4595	50	7	integrals	integral	NOUN
cana-4595	50	8	serve	serve	VERB
cana-4595	50	9	as	as	ADP
cana-4595	50	10	a	a	DET
cana-4595	50	11	foundation	foundation	NOUN
cana-4595	50	12	for	for	ADP
cana-4595	50	13	defining	define	VERB
cana-4595	50	14	fractional	fractional	ADJ
cana-4595	50	15	derivatives	derivative	NOUN
cana-4595	50	16	,	,	PUNCT
cana-4595	50	17	extending	extend	VERB
cana-4595	50	18	traditional	traditional	ADJ
cana-4595	50	19	calculus	calculus	NOUN
cana-4595	50	20	operators	operator	NOUN
cana-4595	50	21	to	to	ADP
cana-4595	50	22	non	non	ADJ
cana-4595	50	23	-	-	ADJ
cana-4595	50	24	integer	integer	ADJ
cana-4595	50	25	orders	order	NOUN
cana-4595	50	26	[	[	X
cana-4595	50	27	6	6	NUM
cana-4595	50	28	]	]	PUNCT
cana-4595	50	29	.	.	PUNCT
cana-4595	51	1	2.1.2	2.1.2	NUM
cana-4595	51	2	fractional	fractional	ADJ
cana-4595	51	3	derivatives	derivative	NOUN
cana-4595	51	4	the	the	DET
cana-4595	51	5	three	three	NUM
cana-4595	51	6	primary	primary	ADJ
cana-4595	51	7	definitions	definition	NOUN
cana-4595	51	8	of	of	ADP
cana-4595	51	9	fractional	fractional	ADJ
cana-4595	51	10	differentiation	differentiation	NOUN
cana-4595	51	11	are	be	AUX
cana-4595	51	12	:	:	PUNCT
cana-4595	51	13	1	1	X
cana-4595	51	14	.	.	X
cana-4595	51	15	riemann	riemann	PROPN
cana-4595	51	16	-	-	PUNCT
cana-4595	51	17	liouville	liouville	VERB
cana-4595	51	18	fractional	fractional	ADJ
cana-4595	51	19	derivative	derivative	NOUN
cana-4595	51	20	the	the	DET
cana-4595	51	21	riemann	riemann	PROPN
cana-4595	51	22	-	-	PUNCT
cana-4595	51	23	liouville	liouville	VERB
cana-4595	51	24	fractional	fractional	ADJ
cana-4595	51	25	derivative	derivative	NOUN
cana-4595	51	26	of	of	ADP
cana-4595	51	27	order	order	NOUN
cana-4595	51	28	𝛼	𝛼	NOUN
cana-4595	51	29	is	be	AUX
cana-4595	51	30	given	give	VERB
cana-4595	51	31	by	by	ADP
cana-4595	51	32	:	:	PUNCT
cana-4595	51	33	𝐷𝛼𝑓(𝑥	𝐷𝛼𝑓(𝑥	NOUN
cana-4595	51	34	)	)	PUNCT
cana-4595	52	1	=	=	PRON
cana-4595	52	2	𝑑𝑛	𝑑𝑛	AUX
cana-4595	52	3	𝑑𝑥𝑛	𝑑𝑥𝑛	VERB
cana-4595	52	4	[	[	PUNCT
cana-4595	52	5	1	1	NUM
cana-4595	52	6	γ(𝑛	γ(𝑛	PROPN
cana-4595	52	7	−	−	NUM
cana-4595	52	8	𝛼	𝛼	NOUN
cana-4595	52	9	)	)	PUNCT
cana-4595	52	10	∫	∫	PROPN
cana-4595	52	11	  	  	SPACE
cana-4595	53	1	𝑥	𝑥	PROPN
cana-4595	53	2	0	0	NUM
cana-4595	53	3	  	  	SPACE
cana-4595	53	4	(	(	PUNCT
cana-4595	53	5	𝑥	𝑥	NOUN
cana-4595	53	6	−	−	NOUN
cana-4595	53	7	𝑡)𝑛−𝛼−1𝑓(𝑡)𝑑𝑡	𝑡)𝑛−𝛼−1𝑓(𝑡)𝑑𝑡	NOUN
cana-4595	53	8	]	]	PUNCT
cana-4595	53	9	where	where	SCONJ
cana-4595	53	10	𝑛	𝑛	ADJ
cana-4595	53	11	=	=	PRON
cana-4595	53	12	⌈𝛼⌉	⌈𝛼⌉	NOUN
cana-4595	53	13	is	be	AUX
cana-4595	53	14	the	the	DET
cana-4595	53	15	ceiling	ceiling	NOUN
cana-4595	53	16	function	function	NOUN
cana-4595	53	17	of	of	ADP
cana-4595	53	18	𝛼.	𝛼.	NOUN
cana-4595	53	19	this	this	DET
cana-4595	53	20	definition	definition	NOUN
cana-4595	53	21	is	be	AUX
cana-4595	53	22	widely	widely	ADV
cana-4595	53	23	used	use	VERB
cana-4595	53	24	in	in	ADP
cana-4595	53	25	theoretical	theoretical	ADJ
cana-4595	53	26	analysis	analysis	NOUN
cana-4595	53	27	but	but	CCONJ
cana-4595	53	28	is	be	AUX
cana-4595	53	29	less	less	ADV
cana-4595	53	30	practical	practical	ADJ
cana-4595	53	31	for	for	ADP
cana-4595	53	32	initial	initial	ADJ
cana-4595	53	33	-	-	PUNCT
cana-4595	53	34	value	value	NOUN
cana-4595	53	35	problems	problem	NOUN
cana-4595	53	36	since	since	SCONJ
cana-4595	53	37	it	it	PRON
cana-4595	53	38	does	do	AUX
cana-4595	53	39	not	not	PART
cana-4595	53	40	accommodate	accommodate	VERB
cana-4595	53	41	standard	standard	ADJ
cana-4595	53	42	boundary	boundary	ADJ
cana-4595	53	43	conditions	condition	NOUN
cana-4595	54	1	[	[	X
cana-4595	54	2	7	7	NUM
cana-4595	54	3	]	]	PUNCT
cana-4595	54	4	.	.	PUNCT
cana-4595	55	1	2	2	X
cana-4595	55	2	.	.	X
cana-4595	55	3	caputo	caputo	PROPN
cana-4595	55	4	fractional	fractional	PROPN
cana-4595	55	5	derivative	derivative	PROPN
cana-4595	55	6	the	the	DET
cana-4595	55	7	caputo	caputo	PROPN
cana-4595	55	8	derivative	derivative	PROPN
cana-4595	55	9	modifies	modify	VERB
cana-4595	55	10	the	the	DET
cana-4595	55	11	riemann	riemann	PROPN
cana-4595	55	12	-	-	PUNCT
cana-4595	55	13	liouville	liouville	VERB
cana-4595	55	14	derivative	derivative	NOUN
cana-4595	55	15	by	by	ADP
cana-4595	55	16	shifting	shift	VERB
cana-4595	55	17	the	the	DET
cana-4595	55	18	differentiation	differentiation	NOUN
cana-4595	55	19	inside	inside	ADP
cana-4595	55	20	the	the	DET
cana-4595	55	21	integral	integral	ADJ
cana-4595	55	22	:	:	PUNCT
cana-4595	55	23	𝐶𝐷𝛼𝑓(𝑥	𝐶𝐷𝛼𝑓(𝑥	NOUN
cana-4595	55	24	)	)	PUNCT
cana-4595	55	25	=	=	SYM
cana-4595	55	26	1	1	NUM
cana-4595	55	27	γ(𝑛	γ(𝑛	PROPN
cana-4595	55	28	−	−	ADP
cana-4595	55	29	𝛼	𝛼	NOUN
cana-4595	55	30	)	)	PUNCT
cana-4595	55	31	∫	∫	PROPN
cana-4595	55	32	  	  	SPACE
cana-4595	56	1	𝑥	𝑥	PROPN
cana-4595	56	2	0	0	PUNCT
cana-4595	57	1	(	(	PUNCT
cana-4595	57	2	𝑥	𝑥	NOUN
cana-4595	57	3	−	−	NOUN
cana-4595	57	4	𝑡)𝑛−𝛼−1𝑓(𝑛)(𝑡)𝑑𝑡	𝑡)𝑛−𝛼−1𝑓(𝑛)(𝑡)𝑑𝑡	PROPN
cana-4595	57	5	the	the	DET
cana-4595	57	6	caputo	caputo	PROPN
cana-4595	57	7	derivative	derivative	NOUN
cana-4595	57	8	is	be	AUX
cana-4595	57	9	often	often	ADV
cana-4595	57	10	preferred	prefer	VERB
cana-4595	57	11	in	in	ADP
cana-4595	57	12	physical	physical	ADJ
cana-4595	57	13	applications	application	NOUN
cana-4595	57	14	because	because	SCONJ
cana-4595	57	15	it	it	PRON
cana-4595	57	16	allows	allow	VERB
cana-4595	57	17	for	for	ADP
cana-4595	57	18	the	the	DET
cana-4595	57	19	use	use	NOUN
cana-4595	57	20	of	of	ADP
cana-4595	57	21	classical	classical	ADJ
cana-4595	57	22	initial	initial	ADJ
cana-4595	57	23	conditions	condition	NOUN
cana-4595	57	24	,	,	PUNCT
cana-4595	57	25	unlike	unlike	ADP
cana-4595	57	26	the	the	DET
cana-4595	57	27	riemann	riemann	PROPN
cana-4595	57	28	-	-	PUNCT
cana-4595	57	29	liouville	liouville	VERB
cana-4595	57	30	approach	approach	NOUN
cana-4595	57	31	[	[	X
cana-4595	57	32	8	8	NUM
cana-4595	57	33	]	]	PUNCT
cana-4595	57	34	.	.	PUNCT
cana-4595	58	1	3	3	X
cana-4595	58	2	.	.	X
cana-4595	58	3	grünwald	grünwald	NOUN
cana-4595	58	4	-	-	PUNCT
cana-4595	58	5	letnikov	letnikov	NOUN
cana-4595	58	6	fractional	fractional	ADJ
cana-4595	58	7	derivative	derivative	NOUN
cana-4595	58	8	the	the	DET
cana-4595	58	9	grünwald	grünwald	NOUN
cana-4595	58	10	-	-	PUNCT
cana-4595	58	11	letnikov	letnikov	NOUN
cana-4595	58	12	derivative	derivative	NOUN
cana-4595	58	13	is	be	AUX
cana-4595	58	14	a	a	DET
cana-4595	58	15	discrete	discrete	ADJ
cana-4595	58	16	approximation	approximation	NOUN
cana-4595	58	17	of	of	ADP
cana-4595	58	18	fractional	fractional	ADJ
cana-4595	58	19	differentiation	differentiation	NOUN
cana-4595	58	20	:	:	PUNCT
cana-4595	58	21	𝐷𝛼𝑓(𝑥	𝐷𝛼𝑓(𝑥	NOUN
cana-4595	58	22	)	)	PUNCT
cana-4595	59	1	=	=	SYM
cana-4595	59	2	lim	lim	PROPN
cana-4595	59	3	ℎ→0	ℎ→0	PUNCT
cana-4595	59	4	  	  	SPACE
cana-4595	59	5	1	1	NUM
cana-4595	59	6	ℎ𝛼	ℎ𝛼	INTJ
cana-4595	59	7	∑	∑	DET
cana-4595	59	8	  	  	SPACE
cana-4595	59	9	∞	∞	PROPN
cana-4595	59	10	𝑘=0	𝑘=0	PROPN
cana-4595	59	11	(	(	PUNCT
cana-4595	59	12	−1)𝑘	−1)𝑘	X
cana-4595	59	13	(	(	PUNCT
cana-4595	59	14	𝛼	𝛼	NOUN
cana-4595	59	15	𝑘	𝑘	NOUN
cana-4595	59	16	)	)	PUNCT
cana-4595	59	17	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	59	18	−	−	NUM
cana-4595	59	19	𝑘ℎ	𝑘ℎ	NOUN
cana-4595	59	20	)	)	PUNCT
cana-4595	59	21	this	this	DET
cana-4595	59	22	definition	definition	NOUN
cana-4595	59	23	is	be	AUX
cana-4595	59	24	widely	widely	ADV
cana-4595	59	25	used	use	VERB
cana-4595	59	26	in	in	ADP
cana-4595	59	27	numerical	numerical	ADJ
cana-4595	59	28	analysis	analysis	NOUN
cana-4595	59	29	,	,	PUNCT
cana-4595	59	30	particularly	particularly	ADV
cana-4595	59	31	in	in	ADP
cana-4595	59	32	fractional	fractional	ADJ
cana-4595	59	33	difference	difference	NOUN
cana-4595	59	34	equations	equation	NOUN
cana-4595	59	35	and	and	CCONJ
cana-4595	59	36	computational	computational	ADJ
cana-4595	59	37	methods	method	NOUN
cana-4595	59	38	[	[	X
cana-4595	59	39	9	9	NUM
cana-4595	59	40	]	]	PUNCT
cana-4595	59	41	.	.	PUNCT
cana-4595	60	1	2.1.3	2.1.3	NUM
cana-4595	60	2	properties	property	NOUN
cana-4595	60	3	of	of	ADP
cana-4595	60	4	fractional	fractional	ADJ
cana-4595	60	5	operators	operator	NOUN
cana-4595	60	6	fractional	fractional	ADJ
cana-4595	60	7	differentiation	differentiation	NOUN
cana-4595	60	8	exhibits	exhibit	VERB
cana-4595	60	9	several	several	ADJ
cana-4595	60	10	distinct	distinct	ADJ
cana-4595	60	11	properties	property	NOUN
cana-4595	60	12	that	that	PRON
cana-4595	60	13	differ	differ	VERB
cana-4595	60	14	from	from	ADP
cana-4595	60	15	classical	classical	ADJ
cana-4595	60	16	integer	integer	NOUN
cana-4595	60	17	-	-	PUNCT
cana-4595	60	18	order	order	NOUN
cana-4595	60	19	derivatives	derivative	NOUN
cana-4595	60	20	:	:	PUNCT
cana-4595	60	21	•	•	NUM
cana-4595	60	22	linearity	linearity	NOUN
cana-4595	60	23	:	:	PUNCT
cana-4595	60	24	if	if	SCONJ
cana-4595	60	25	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	60	26	)	)	PUNCT
cana-4595	60	27	and	and	CCONJ
cana-4595	60	28	𝑔(𝑥	𝑔(𝑥	NUM
cana-4595	60	29	)	)	PUNCT
cana-4595	60	30	are	be	AUX
cana-4595	60	31	functions	function	NOUN
cana-4595	60	32	,	,	PUNCT
cana-4595	60	33	then	then	ADV
cana-4595	60	34	:	:	PUNCT
cana-4595	60	35	𝐷𝛼(𝑎𝑓(𝑥	𝐷𝛼(𝑎𝑓(𝑥	NOUN
cana-4595	60	36	)	)	PUNCT
cana-4595	61	1	+	+	NUM
cana-4595	61	2	𝑏𝑔(𝑥	𝑏𝑔(𝑥	NUM
cana-4595	61	3	)	)	PUNCT
cana-4595	61	4	)	)	PUNCT
cana-4595	62	1	=	=	SYM
cana-4595	62	2	𝑎𝐷𝛼𝑓(𝑥	𝑎𝐷𝛼𝑓(𝑥	NOUN
cana-4595	62	3	)	)	PUNCT
cana-4595	62	4	+	+	CCONJ
cana-4595	62	5	𝑏𝐷𝛼𝑔(𝑥	𝑏𝐷𝛼𝑔(𝑥	ADJ
cana-4595	62	6	)	)	PUNCT
cana-4595	62	7	•	•	NUM
cana-4595	62	8	semigroup	semigroup	NOUN
cana-4595	62	9	property	property	NOUN
cana-4595	62	10	:	:	PUNCT
cana-4595	62	11	for	for	ADP
cana-4595	62	12	any	any	DET
cana-4595	62	13	two	two	NUM
cana-4595	62	14	orders	order	NOUN
cana-4595	62	15	𝛼	𝛼	NOUN
cana-4595	62	16	,	,	PUNCT
cana-4595	62	17	𝛽	𝛽	NOUN
cana-4595	62	18	>	>	X
cana-4595	62	19	0	0	NUM
cana-4595	62	20	:	:	PUNCT
cana-4595	62	21	𝐷𝛼𝐷𝛽𝑓(𝑥	𝐷𝛼𝐷𝛽𝑓(𝑥	X
cana-4595	62	22	)	)	PUNCT
cana-4595	62	23	=	=	SYM
cana-4595	62	24	𝐷𝛼+𝛽𝑓(𝑥	𝐷𝛼+𝛽𝑓(𝑥	NOUN
cana-4595	62	25	)	)	PUNCT
cana-4595	62	26	•	•	NUM
cana-4595	62	27	fractional	fractional	ADJ
cana-4595	62	28	derivative	derivative	NOUN
cana-4595	62	29	of	of	ADP
cana-4595	62	30	a	a	DET
cana-4595	62	31	power	power	NOUN
cana-4595	62	32	function	function	NOUN
cana-4595	62	33	:	:	PUNCT
cana-4595	62	34	𝐷𝛼𝑥𝑝	𝐷𝛼𝑥𝑝	PROPN
cana-4595	62	35	=	=	PUNCT
cana-4595	62	36	γ(𝑝	γ(𝑝	NOUN
cana-4595	62	37	+	+	CCONJ
cana-4595	62	38	1	1	X
cana-4595	62	39	)	)	PUNCT
cana-4595	62	40	γ(𝑝	γ(𝑝	NOUN
cana-4595	62	41	+	+	CCONJ
cana-4595	62	42	1	1	NUM
cana-4595	62	43	−	−	NUM
cana-4595	62	44	𝛼	𝛼	NOUN
cana-4595	62	45	)	)	PUNCT
cana-4595	62	46	𝑥𝑝−𝛼	𝑥𝑝−𝛼	VERB
cana-4595	62	47	these	these	DET
cana-4595	62	48	properties	property	NOUN
cana-4595	62	49	form	form	VERB
cana-4595	62	50	the	the	DET
cana-4595	62	51	basis	basis	NOUN
cana-4595	62	52	for	for	ADP
cana-4595	62	53	constructing	construct	VERB
cana-4595	62	54	operational	operational	ADJ
cana-4595	62	55	matrices	matrix	NOUN
cana-4595	62	56	,	,	PUNCT
cana-4595	62	57	which	which	PRON
cana-4595	62	58	facilitate	facilitate	VERB
cana-4595	62	59	numerical	numerical	ADJ
cana-4595	62	60	approximations	approximation	NOUN
cana-4595	62	61	of	of	ADP
cana-4595	62	62	fractional	fractional	ADJ
cana-4595	62	63	derivatives	derivative	NOUN
cana-4595	62	64	.	.	PUNCT
cana-4595	63	1	2.2	2.2	NUM
cana-4595	63	2	gnocchi	gnocchi	NOUN
cana-4595	63	3	polynomials	polynomial	NOUN
cana-4595	63	4	:	:	PUNCT
cana-4595	63	5	definition	definition	NOUN
cana-4595	63	6	and	and	CCONJ
cana-4595	63	7	properties	property	NOUN
cana-4595	63	8	2.2.1	2.2.1	NUM
cana-4595	63	9	definition	definition	NOUN
cana-4595	63	10	of	of	ADP
cana-4595	63	11	gnocchi	gnocchi	NOUN
cana-4595	63	12	polynomials	polynomial	VERB
cana-4595	63	13	the	the	DET
cana-4595	63	14	gnocchi	gnocchi	NOUN
cana-4595	63	15	polynomials	polynomial	NOUN
cana-4595	63	16	,	,	PUNCT
cana-4595	63	17	denoted	denote	VERB
cana-4595	63	18	by	by	ADP
cana-4595	63	19	𝐺𝑛(𝑥	𝐺𝑛(𝑥	NOUN
cana-4595	63	20	)	)	PUNCT
cana-4595	63	21	,	,	PUNCT
cana-4595	63	22	are	be	AUX
cana-4595	63	23	a	a	DET
cana-4595	63	24	sequence	sequence	NOUN
cana-4595	63	25	of	of	ADP
cana-4595	63	26	orthogonal	orthogonal	ADJ
cana-4595	63	27	polynomials	polynomial	NOUN
cana-4595	63	28	that	that	PRON
cana-4595	63	29	satisfy	satisfy	VERB
cana-4595	63	30	the	the	DET
cana-4595	63	31	recurrence	recurrence	NOUN
cana-4595	63	32	relation	relation	NOUN
cana-4595	63	33	:	:	PUNCT
cana-4595	63	34	communications	communication	NOUN
cana-4595	63	35	on	on	ADP
cana-4595	63	36	applied	apply	VERB
cana-4595	63	37	nonlinear	nonlinear	ADJ
cana-4595	63	38	analysis	analysis	NOUN
cana-4595	63	39	issn	issn	NOUN
cana-4595	63	40	:	:	PUNCT
cana-4595	63	41	1074	1074	NUM
cana-4595	63	42	-	-	PUNCT
cana-4595	63	43	133x	133x	NUM
cana-4595	63	44	vol	vol	NOUN
cana-4595	63	45	32	32	NUM
cana-4595	63	46	no	no	NOUN
cana-4595	63	47	.	.	PUNCT
cana-4595	64	1	9s	9s	NUM
cana-4595	64	2	(	(	PUNCT
cana-4595	64	3	2025	2025	NUM
cana-4595	64	4	)	)	PUNCT
cana-4595	64	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	64	6	2972	2972	NUM
cana-4595	64	7	𝐺𝑛+1(𝑥	𝐺𝑛+1(𝑥	NOUN
cana-4595	64	8	)	)	PUNCT
cana-4595	64	9	=	=	PUNCT
cana-4595	65	1	(	(	PUNCT
cana-4595	65	2	2𝑛	2𝑛	PROPN
cana-4595	65	3	+	+	CCONJ
cana-4595	65	4	1)𝑥𝐺𝑛(𝑥	1)𝑥𝐺𝑛(𝑥	NUM
cana-4595	65	5	)	)	PUNCT
cana-4595	65	6	−	−	NOUN
cana-4595	65	7	𝑛𝐺𝑛−1(𝑥	𝑛𝐺𝑛−1(𝑥	NUM
cana-4595	65	8	)	)	PUNCT
cana-4595	65	9	with	with	ADP
cana-4595	65	10	initial	initial	ADJ
cana-4595	65	11	conditions	condition	NOUN
cana-4595	65	12	:	:	PUNCT
cana-4595	65	13	𝐺0(𝑥	𝐺0(𝑥	NUM
cana-4595	65	14	)	)	PUNCT
cana-4595	65	15	=	=	SYM
cana-4595	65	16	1	1	NUM
cana-4595	65	17	,	,	PUNCT
cana-4595	65	18	𝐺1(𝑥	𝐺1(𝑥	NUM
cana-4595	65	19	)	)	PUNCT
cana-4595	66	1	=	=	PUNCT
cana-4595	66	2	𝑥	𝑥	ADP
cana-4595	66	3	these	these	DET
cana-4595	66	4	polynomials	polynomial	NOUN
cana-4595	66	5	play	play	VERB
cana-4595	66	6	a	a	DET
cana-4595	66	7	crucial	crucial	ADJ
cana-4595	66	8	role	role	NOUN
cana-4595	66	9	in	in	ADP
cana-4595	66	10	approximating	approximate	VERB
cana-4595	66	11	functions	function	NOUN
cana-4595	66	12	and	and	CCONJ
cana-4595	66	13	constructing	construct	VERB
cana-4595	66	14	spectral	spectral	ADJ
cana-4595	66	15	methods	method	NOUN
cana-4595	66	16	for	for	ADP
cana-4595	66	17	solving	solve	VERB
cana-4595	66	18	differential	differential	ADJ
cana-4595	66	19	equations	equation	NOUN
cana-4595	66	20	[	[	X
cana-4595	66	21	10	10	NUM
cana-4595	66	22	]	]	PUNCT
cana-4595	66	23	.	.	PUNCT
cana-4595	67	1	2.2.2	2.2.2	NUM
cana-4595	67	2	orthogonality	orthogonality	NOUN
cana-4595	67	3	and	and	CCONJ
cana-4595	67	4	function	function	NOUN
cana-4595	67	5	space	space	NOUN
cana-4595	67	6	expansion	expansion	NOUN
cana-4595	67	7	gnocchi	gnocchi	NOUN
cana-4595	67	8	polynomials	polynomial	NOUN
cana-4595	67	9	form	form	VERB
cana-4595	67	10	an	an	DET
cana-4595	67	11	orthogonal	orthogonal	ADJ
cana-4595	67	12	basis	basis	NOUN
cana-4595	67	13	over	over	ADP
cana-4595	67	14	the	the	DET
cana-4595	67	15	interval	interval	NOUN
cana-4595	67	16	[	[	X
cana-4595	67	17	−1,1	−1,1	X
cana-4595	67	18	]	]	PUNCT
cana-4595	67	19	with	with	ADP
cana-4595	67	20	respect	respect	NOUN
cana-4595	67	21	to	to	ADP
cana-4595	67	22	a	a	DET
cana-4595	67	23	weight	weight	NOUN
cana-4595	67	24	function	function	NOUN
cana-4595	67	25	𝑤(𝑥	𝑤(𝑥	NOUN
cana-4595	67	26	)	)	PUNCT
cana-4595	67	27	,	,	PUNCT
cana-4595	67	28	meaning	mean	VERB
cana-4595	67	29	:	:	PUNCT
cana-4595	67	30	∫	∫	PROPN
cana-4595	67	31	  	  	SPACE
cana-4595	67	32	1	1	NUM
cana-4595	67	33	−1	−1	NOUN
cana-4595	67	34	𝐺𝑚(𝑥)𝐺𝑛(𝑥)𝑤(𝑥)𝑑𝑥	𝐺𝑚(𝑥)𝐺𝑛(𝑥)𝑤(𝑥)𝑑𝑥	PUNCT
cana-4595	67	35	=	=	SYM
cana-4595	67	36	0,𝑚	0,𝑚	PROPN
cana-4595	67	37	≠	≠	PROPN
cana-4595	67	38	𝑛	𝑛	ADP
cana-4595	67	39	any	any	DET
cana-4595	67	40	sufficiently	sufficiently	ADV
cana-4595	67	41	smooth	smooth	ADJ
cana-4595	67	42	function	function	NOUN
cana-4595	67	43	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	67	44	)	)	PUNCT
cana-4595	67	45	can	can	AUX
cana-4595	67	46	be	be	AUX
cana-4595	67	47	expressed	express	VERB
cana-4595	67	48	in	in	ADP
cana-4595	67	49	terms	term	NOUN
cana-4595	67	50	of	of	ADP
cana-4595	67	51	gnocchi	gnocchi	NOUN
cana-4595	67	52	polynomials	polynomial	NOUN
cana-4595	67	53	as	as	ADP
cana-4595	67	54	:	:	PUNCT
cana-4595	67	55	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	67	56	)	)	PUNCT
cana-4595	67	57	=	=	PUNCT
cana-4595	67	58	∑	∑	PUNCT
cana-4595	67	59	  	  	SPACE
cana-4595	67	60	∞	∞	NUM
cana-4595	67	61	𝑛=0	𝑛=0	PROPN
cana-4595	67	62	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	PROPN
cana-4595	67	63	)	)	PUNCT
cana-4595	67	64	where	where	SCONJ
cana-4595	67	65	𝑐𝑛	𝑐𝑛	PRON
cana-4595	67	66	are	be	AUX
cana-4595	67	67	expansion	expansion	NOUN
cana-4595	67	68	coefficients	coefficient	NOUN
cana-4595	67	69	determined	determine	VERB
cana-4595	67	70	using	use	VERB
cana-4595	67	71	inner	inner	ADJ
cana-4595	67	72	product	product	NOUN
cana-4595	67	73	projection	projection	NOUN
cana-4595	67	74	.	.	PUNCT
cana-4595	68	1	2.3	2.3	NUM
cana-4595	68	2	introduction	introduction	NOUN
cana-4595	68	3	to	to	ADP
cana-4595	68	4	operational	operational	ADJ
cana-4595	68	5	matrices	matrix	NOUN
cana-4595	68	6	2.3.1	2.3.1	NUM
cana-4595	68	7	concept	concept	NOUN
cana-4595	68	8	of	of	ADP
cana-4595	68	9	an	an	DET
cana-4595	68	10	operational	operational	ADJ
cana-4595	68	11	matrix	matrix	NOUN
cana-4595	68	12	for	for	ADP
cana-4595	68	13	function	function	NOUN
cana-4595	68	14	approximation	approximation	NOUN
cana-4595	68	15	an	an	DET
cana-4595	68	16	operational	operational	ADJ
cana-4595	68	17	matrix	matrix	NOUN
cana-4595	68	18	changes	change	VERB
cana-4595	68	19	a	a	DET
cana-4595	68	20	function	function	NOUN
cana-4595	68	21	expansion	expansion	NOUN
cana-4595	68	22	into	into	ADP
cana-4595	68	23	a	a	DET
cana-4595	68	24	matrix	matrix	NOUN
cana-4595	68	25	,	,	PUNCT
cana-4595	68	26	which	which	PRON
cana-4595	68	27	leads	lead	VERB
cana-4595	68	28	to	to	ADP
cana-4595	68	29	easy	easy	ADJ
cana-4595	68	30	computation	computation	NOUN
cana-4595	68	31	of	of	ADP
cana-4595	68	32	derivatives	derivative	NOUN
cana-4595	68	33	and	and	CCONJ
cana-4595	68	34	integrals	integral	NOUN
cana-4595	68	35	.	.	PUNCT
cana-4595	69	1	if	if	SCONJ
cana-4595	69	2	a	a	DET
cana-4595	69	3	function	function	NOUN
cana-4595	69	4	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	69	5	)	)	PUNCT
cana-4595	69	6	is	be	AUX
cana-4595	69	7	approximated	approximate	VERB
cana-4595	69	8	by	by	ADP
cana-4595	69	9	gnocchi	gnocchi	NOUN
cana-4595	69	10	polynomials	polynomial	NOUN
cana-4595	69	11	:	:	PUNCT
cana-4595	69	12	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	69	13	)	)	PUNCT
cana-4595	70	1	≈	≈	PROPN
cana-4595	70	2	𝐶𝑇𝐺(𝑥	𝐶𝑇𝐺(𝑥	PROPN
cana-4595	70	3	)	)	PUNCT
cana-4595	70	4	then	then	ADV
cana-4595	70	5	its	its	PRON
cana-4595	70	6	fractional	fractional	ADJ
cana-4595	70	7	derivative	derivative	NOUN
cana-4595	70	8	can	can	AUX
cana-4595	70	9	be	be	AUX
cana-4595	70	10	expressed	express	VERB
cana-4595	70	11	as	as	ADP
cana-4595	70	12	:	:	PUNCT
cana-4595	70	13	𝐷𝛼𝑓(𝑥	𝐷𝛼𝑓(𝑥	NOUN
cana-4595	70	14	)	)	PUNCT
cana-4595	71	1	≈	≈	PROPN
cana-4595	71	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	71	3	)	)	PUNCT
cana-4595	71	4	where	where	SCONJ
cana-4595	71	5	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	71	6	)	)	PUNCT
cana-4595	71	7	is	be	AUX
cana-4595	71	8	the	the	DET
cana-4595	71	9	fractional	fractional	ADJ
cana-4595	71	10	derivative	derivative	ADJ
cana-4595	71	11	operational	operational	ADJ
cana-4595	71	12	matrix	matrix	NOUN
cana-4595	72	1	[	[	X
cana-4595	72	2	11	11	NUM
cana-4595	72	3	]	]	PUNCT
cana-4595	72	4	.	.	PUNCT
cana-4595	73	1	2.3.2	2.3.2	NUM
cana-4595	73	2	review	review	NOUN
cana-4595	73	3	of	of	ADP
cana-4595	73	4	existing	exist	VERB
cana-4595	73	5	polynomial	polynomial	ADJ
cana-4595	73	6	-	-	PUNCT
cana-4595	73	7	based	base	VERB
cana-4595	73	8	operational	operational	ADJ
cana-4595	73	9	matrices	matrix	NOUN
cana-4595	73	10	several	several	ADJ
cana-4595	73	11	polynomial	polynomial	ADJ
cana-4595	73	12	families	family	NOUN
cana-4595	73	13	have	have	AUX
cana-4595	73	14	been	be	AUX
cana-4595	73	15	used	use	VERB
cana-4595	73	16	to	to	PART
cana-4595	73	17	construct	construct	VERB
cana-4595	73	18	operational	operational	ADJ
cana-4595	73	19	matrices	matrix	NOUN
cana-4595	73	20	:	:	PUNCT
cana-4595	73	21	•	•	NUM
cana-4595	73	22	legendre	legendre	NOUN
cana-4595	73	23	polynomials	polynomial	NOUN
cana-4595	73	24	:	:	PUNCT
cana-4595	73	25	used	use	VERB
cana-4595	73	26	in	in	ADP
cana-4595	73	27	spectral	spectral	ADJ
cana-4595	73	28	methods	method	NOUN
cana-4595	73	29	due	due	ADP
cana-4595	73	30	to	to	ADP
cana-4595	73	31	their	their	PRON
cana-4595	73	32	simplicity	simplicity	NOUN
cana-4595	73	33	.	.	PUNCT
cana-4595	74	1	•	•	NUM
cana-4595	74	2	chebyshev	chebyshev	NOUN
cana-4595	74	3	polynomials	polynomial	NOUN
cana-4595	74	4	:	:	PUNCT
cana-4595	74	5	common	common	ADJ
cana-4595	74	6	in	in	ADP
cana-4595	74	7	numerical	numerical	ADJ
cana-4595	74	8	approximations	approximation	NOUN
cana-4595	74	9	for	for	ADP
cana-4595	74	10	their	their	PRON
cana-4595	74	11	minimal	minimal	ADJ
cana-4595	74	12	error	error	NOUN
cana-4595	74	13	properties	property	NOUN
cana-4595	74	14	.	.	PUNCT
cana-4595	75	1	•	•	NOUN
cana-4595	75	2	jacobi	jacobi	PROPN
cana-4595	75	3	polynomials	polynomial	NOUN
cana-4595	75	4	:	:	PUNCT
cana-4595	75	5	useful	useful	ADJ
cana-4595	75	6	in	in	ADP
cana-4595	75	7	weight	weight	NOUN
cana-4595	75	8	-	-	PUNCT
cana-4595	75	9	function	function	NOUN
cana-4595	75	10	-	-	PUNCT
cana-4595	75	11	based	base	VERB
cana-4595	75	12	approximations	approximation	NOUN
cana-4595	75	13	.	.	PUNCT
cana-4595	76	1	though	though	SCONJ
cana-4595	76	2	these	these	DET
cana-4595	76	3	approaches	approach	NOUN
cana-4595	76	4	work	work	VERB
cana-4595	76	5	well	well	ADV
cana-4595	76	6	,	,	PUNCT
cana-4595	76	7	they	they	PRON
cana-4595	76	8	are	be	AUX
cana-4595	76	9	numerically	numerically	ADV
cana-4595	76	10	unstable	unstable	ADJ
cana-4595	76	11	when	when	SCONJ
cana-4595	76	12	applied	apply	VERB
cana-4595	76	13	to	to	ADP
cana-4595	76	14	fractional	fractional	ADJ
cana-4595	76	15	differential	differential	ADJ
cana-4595	76	16	equations	equation	NOUN
cana-4595	76	17	.	.	PUNCT
cana-4595	77	1	this	this	DET
cana-4595	77	2	research	research	NOUN
cana-4595	77	3	introduces	introduce	VERB
cana-4595	77	4	the	the	DET
cana-4595	77	5	gnocchi	gnocchi	NOUN
cana-4595	77	6	polynomial	polynomial	PROPN
cana-4595	77	7	based	base	VERB
cana-4595	77	8	operational	operational	ADJ
cana-4595	77	9	matrix	matrix	NOUN
cana-4595	77	10	which	which	PRON
cana-4595	77	11	is	be	AUX
cana-4595	77	12	more	more	ADV
cana-4595	77	13	stable	stable	ADJ
cana-4595	77	14	and	and	CCONJ
cana-4595	77	15	computationally	computationally	ADV
cana-4595	77	16	efficient	efficient	ADJ
cana-4595	77	17	than	than	ADP
cana-4595	77	18	the	the	DET
cana-4595	77	19	techniques	technique	NOUN
cana-4595	77	20	mentioned	mention	VERB
cana-4595	77	21	above	above	ADV
cana-4595	77	22	.	.	PUNCT
cana-4595	78	1	3	3	X
cana-4595	78	2	.	.	X
cana-4595	78	3	construction	construction	NOUN
cana-4595	78	4	of	of	ADP
cana-4595	78	5	the	the	DET
cana-4595	78	6	new	new	ADJ
cana-4595	78	7	operational	operational	ADJ
cana-4595	78	8	matrix	matrix	NOUN
cana-4595	78	9	using	use	VERB
cana-4595	78	10	gnocchi	gnocchi	NOUN
cana-4595	78	11	polynomials	polynomial	VERB
cana-4595	78	12	3.1	3.1	NUM
cana-4595	78	13	definition	definition	NOUN
cana-4595	78	14	and	and	CCONJ
cana-4595	78	15	construction	construction	NOUN
cana-4595	78	16	3.1.1	3.1.1	NUM
cana-4595	78	17	formulation	formulation	NOUN
cana-4595	78	18	of	of	ADP
cana-4595	78	19	the	the	DET
cana-4595	78	20	new	new	ADJ
cana-4595	78	21	operational	operational	ADJ
cana-4595	78	22	matrix	matrix	NOUN
cana-4595	78	23	for	for	ADP
cana-4595	78	24	fractional	fractional	ADJ
cana-4595	78	25	differentiation	differentiation	NOUN
cana-4595	78	26	in	in	ADP
cana-4595	78	27	this	this	DET
cana-4595	78	28	section	section	NOUN
cana-4595	78	29	,	,	PUNCT
cana-4595	78	30	the	the	DET
cana-4595	78	31	main	main	ADJ
cana-4595	78	32	aim	aim	NOUN
cana-4595	78	33	is	be	AUX
cana-4595	78	34	to	to	PART
cana-4595	78	35	develop	develop	VERB
cana-4595	78	36	an	an	DET
cana-4595	78	37	operational	operational	ADJ
cana-4595	78	38	matrix	matrix	NOUN
cana-4595	78	39	of	of	ADP
cana-4595	78	40	fractional	fractional	ADJ
cana-4595	78	41	differentiation	differentiation	NOUN
cana-4595	78	42	by	by	ADP
cana-4595	78	43	means	mean	NOUN
cana-4595	78	44	of	of	ADP
cana-4595	78	45	gnocchi	gnocchi	NOUN
cana-4595	78	46	polynomials	polynomial	NOUN
cana-4595	78	47	.	.	PUNCT
cana-4595	79	1	given	give	VERB
cana-4595	79	2	that	that	PRON
cana-4595	79	3	gnocchi	gnocchi	NOUN
cana-4595	79	4	polynomials	polynomial	NOUN
cana-4595	79	5	{	{	PUNCT
cana-4595	79	6	𝐺𝑛(𝑥	𝐺𝑛(𝑥	NOUN
cana-4595	79	7	)	)	PUNCT
cana-4595	79	8	}	}	PUNCT
cana-4595	79	9	form	form	VERB
cana-4595	79	10	an	an	DET
cana-4595	79	11	orthogonal	orthogonal	ADJ
cana-4595	79	12	basis	basis	NOUN
cana-4595	79	13	,	,	PUNCT
cana-4595	79	14	any	any	DET
cana-4595	79	15	smooth	smooth	ADJ
cana-4595	79	16	function	function	NOUN
cana-4595	79	17	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	79	18	)	)	PUNCT
cana-4595	79	19	can	can	AUX
cana-4595	79	20	be	be	AUX
cana-4595	79	21	approximated	approximate	VERB
cana-4595	79	22	as	as	ADP
cana-4595	79	23	:	:	PUNCT
cana-4595	79	24	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	79	25	)	)	PUNCT
cana-4595	80	1	≈	≈	PROPN
cana-4595	80	2	∑	∑	PUNCT
cana-4595	80	3	  	  	SPACE
cana-4595	80	4	∞	∞	NUM
cana-4595	80	5	𝑛=0	𝑛=0	PROPN
cana-4595	80	6	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	PROPN
cana-4595	80	7	)	)	PUNCT
cana-4595	80	8	where	where	SCONJ
cana-4595	80	9	𝑐𝑛	𝑐𝑛	PRON
cana-4595	80	10	are	be	AUX
cana-4595	80	11	the	the	DET
cana-4595	80	12	expansion	expansion	NOUN
cana-4595	80	13	coefficients	coefficient	NOUN
cana-4595	80	14	determined	determine	VERB
cana-4595	80	15	using	use	VERB
cana-4595	80	16	inner	inner	ADJ
cana-4595	80	17	product	product	NOUN
cana-4595	80	18	projection	projection	NOUN
cana-4595	80	19	.	.	PUNCT
cana-4595	81	1	now	now	ADV
cana-4595	81	2	,	,	PUNCT
cana-4595	81	3	applying	apply	VERB
cana-4595	81	4	the	the	DET
cana-4595	81	5	fractional	fractional	ADJ
cana-4595	81	6	derivative	derivative	ADJ
cana-4595	81	7	operator	operator	NOUN
cana-4595	81	8	𝐷𝛼	𝐷𝛼	NOUN
cana-4595	81	9	to	to	ADP
cana-4595	81	10	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	81	11	)	)	PUNCT
cana-4595	81	12	,	,	PUNCT
cana-4595	81	13	we	we	PRON
cana-4595	81	14	obtain	obtain	VERB
cana-4595	81	15	:	:	PUNCT
cana-4595	81	16	𝐷𝛼𝑓(𝑥	𝐷𝛼𝑓(𝑥	NOUN
cana-4595	81	17	)	)	PUNCT
cana-4595	81	18	=	=	SYM
cana-4595	82	1	𝐷𝛼	𝐷𝛼	NOUN
cana-4595	82	2	∑	∑	NOUN
cana-4595	82	3	  	  	SPACE
cana-4595	82	4	∞	∞	NUM
cana-4595	82	5	𝑛=0	𝑛=0	PROPN
cana-4595	82	6	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	ADJ
cana-4595	82	7	)	)	PUNCT
cana-4595	82	8	communications	communication	NOUN
cana-4595	82	9	on	on	ADP
cana-4595	82	10	applied	apply	VERB
cana-4595	82	11	nonlinear	nonlinear	ADJ
cana-4595	82	12	analysis	analysis	NOUN
cana-4595	82	13	issn	issn	NOUN
cana-4595	82	14	:	:	PUNCT
cana-4595	82	15	1074	1074	NUM
cana-4595	82	16	-	-	PUNCT
cana-4595	82	17	133x	133x	NUM
cana-4595	82	18	vol	vol	NOUN
cana-4595	82	19	32	32	NUM
cana-4595	82	20	no	no	NOUN
cana-4595	82	21	.	.	PUNCT
cana-4595	83	1	9s	9s	NUM
cana-4595	83	2	(	(	PUNCT
cana-4595	83	3	2025	2025	NUM
cana-4595	83	4	)	)	PUNCT
cana-4595	83	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	83	6	2973	2973	NUM
cana-4595	83	7	to	to	PART
cana-4595	83	8	efficiently	efficiently	ADV
cana-4595	83	9	compute	compute	VERB
cana-4595	83	10	this	this	DET
cana-4595	83	11	transformation	transformation	NOUN
cana-4595	83	12	,	,	PUNCT
cana-4595	83	13	we	we	PRON
cana-4595	83	14	define	define	VERB
cana-4595	83	15	the	the	DET
cana-4595	83	16	fractional	fractional	ADJ
cana-4595	83	17	differentiation	differentiation	NOUN
cana-4595	83	18	operational	operational	ADJ
cana-4595	83	19	matrix	matrix	NOUN
cana-4595	83	20	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	83	21	)	)	PUNCT
cana-4595	83	22	,	,	PUNCT
cana-4595	83	23	such	such	ADJ
cana-4595	83	24	that	that	SCONJ
cana-4595	83	25	:	:	PUNCT
cana-4595	83	26	𝐷𝛼𝐺(𝑥	𝐷𝛼𝐺(𝑥	X
cana-4595	83	27	)	)	PUNCT
cana-4595	83	28	=	=	SYM
cana-4595	83	29	𝑃(𝛼)𝐺(𝑥	𝑃(𝛼)𝐺(𝑥	NOUN
cana-4595	83	30	)	)	PUNCT
cana-4595	83	31	thus	thus	ADV
cana-4595	83	32	,	,	PUNCT
cana-4595	83	33	applying	apply	VERB
cana-4595	83	34	𝐷𝛼	𝐷𝛼	NOUN
cana-4595	83	35	to	to	ADP
cana-4595	83	36	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	83	37	)	)	PUNCT
cana-4595	83	38	,	,	PUNCT
cana-4595	83	39	we	we	PRON
cana-4595	83	40	get	get	VERB
cana-4595	83	41	:	:	PUNCT
cana-4595	83	42	𝐷𝛼𝑓(𝑥	𝐷𝛼𝑓(𝑥	NOUN
cana-4595	83	43	)	)	PUNCT
cana-4595	84	1	≈	≈	PROPN
cana-4595	84	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	84	3	)	)	PUNCT
cana-4595	84	4	where	where	SCONJ
cana-4595	84	5	𝐶	𝐶	PROPN
cana-4595	84	6	=	=	PUNCT
cana-4595	85	1	[	[	X
cana-4595	85	2	𝑐0	𝑐0	NOUN
cana-4595	85	3	,	,	PUNCT
cana-4595	85	4	𝑐1	𝑐1	NOUN
cana-4595	85	5	,	,	PUNCT
cana-4595	85	6	…	…	PUNCT
cana-4595	85	7	,	,	PUNCT
cana-4595	85	8	𝑐𝑛]𝑇	𝑐𝑛]𝑇	NOUN
cana-4595	85	9	is	be	AUX
cana-4595	85	10	the	the	DET
cana-4595	85	11	vector	vector	NOUN
cana-4595	85	12	of	of	ADP
cana-4595	85	13	expansion	expansion	NOUN
cana-4595	85	14	coefficients	coefficient	NOUN
cana-4595	85	15	,	,	PUNCT
cana-4595	85	16	and	and	CCONJ
cana-4595	85	17	𝑃(𝛼	𝑃(𝛼	PRON
cana-4595	85	18	)	)	PUNCT
cana-4595	85	19	is	be	AUX
cana-4595	85	20	the	the	DET
cana-4595	85	21	matrix	matrix	NOUN
cana-4595	85	22	representation	representation	NOUN
cana-4595	85	23	of	of	ADP
cana-4595	85	24	the	the	DET
cana-4595	85	25	fractional	fractional	ADJ
cana-4595	85	26	differentiation	differentiation	NOUN
cana-4595	85	27	operator	operator	NOUN
cana-4595	85	28	in	in	ADP
cana-4595	85	29	the	the	DET
cana-4595	85	30	gnocchi	gnocchi	NOUN
cana-4595	85	31	polynomial	polynomial	ADJ
cana-4595	85	32	basis	basis	NOUN
cana-4595	85	33	.	.	PUNCT
cana-4595	86	1	3.1.2	3.1.2	NUM
cana-4595	86	2	step	step	NOUN
cana-4595	86	3	-	-	PUNCT
cana-4595	86	4	by	by	ADP
cana-4595	86	5	-	-	PUNCT
cana-4595	86	6	step	step	NOUN
cana-4595	86	7	derivation	derivation	NOUN
cana-4595	86	8	using	use	VERB
cana-4595	86	9	gnocchi	gnocchi	NOUN
cana-4595	86	10	polynomials	polynomial	NOUN
cana-4595	86	11	to	to	PART
cana-4595	86	12	derive	derive	VERB
cana-4595	86	13	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	86	14	)	)	PUNCT
cana-4595	86	15	,	,	PUNCT
cana-4595	86	16	we	we	PRON
cana-4595	86	17	use	use	VERB
cana-4595	86	18	the	the	DET
cana-4595	86	19	property	property	NOUN
cana-4595	86	20	of	of	ADP
cana-4595	86	21	fractional	fractional	ADJ
cana-4595	86	22	differentiation	differentiation	NOUN
cana-4595	86	23	on	on	ADP
cana-4595	86	24	gnocchi	gnocchi	NOUN
cana-4595	86	25	polynomials	polynomial	NOUN
cana-4595	86	26	.	.	PUNCT
cana-4595	87	1	the	the	DET
cana-4595	87	2	fractional	fractional	ADJ
cana-4595	87	3	derivative	derivative	NOUN
cana-4595	87	4	of	of	ADP
cana-4595	87	5	a	a	DET
cana-4595	87	6	gnocchi	gnocchi	NOUN
cana-4595	87	7	polynomial	polynomial	NOUN
cana-4595	87	8	follows	follow	VERB
cana-4595	87	9	the	the	DET
cana-4595	87	10	general	general	ADJ
cana-4595	87	11	rule	rule	NOUN
cana-4595	87	12	:	:	PUNCT
cana-4595	87	13	𝐷𝛼𝐺𝑛(𝑥	𝐷𝛼𝐺𝑛(𝑥	PROPN
cana-4595	87	14	)	)	PUNCT
cana-4595	88	1	=	=	PUNCT
cana-4595	88	2	∑	∑	PUNCT
cana-4595	88	3	  	  	SPACE
cana-4595	88	4	𝑛	𝑛	PRON
cana-4595	88	5	𝑚=0	𝑚=0	PUNCT
cana-4595	88	6	𝑃𝑛,𝑚	𝑃𝑛,𝑚	NOUN
cana-4595	88	7	(	(	PUNCT
cana-4595	88	8	𝛼	𝛼	NOUN
cana-4595	88	9	)	)	PUNCT
cana-4595	88	10	𝐺𝑚(𝑥	𝐺𝑚(𝑥	NOUN
cana-4595	88	11	)	)	PUNCT
cana-4595	88	12	by	by	ADP
cana-4595	88	13	defining	define	VERB
cana-4595	88	14	the	the	DET
cana-4595	88	15	matrix	matrix	NOUN
cana-4595	88	16	elements	element	NOUN
cana-4595	88	17	𝑃𝑛,𝑚	𝑃𝑛,𝑚	NOUN
cana-4595	88	18	(	(	PUNCT
cana-4595	88	19	𝛼	𝛼	NOUN
cana-4595	88	20	)	)	PUNCT
cana-4595	88	21	,	,	PUNCT
cana-4595	88	22	the	the	DET
cana-4595	88	23	operational	operational	ADJ
cana-4595	88	24	matrix	matrix	NOUN
cana-4595	88	25	takes	take	VERB
cana-4595	88	26	the	the	DET
cana-4595	88	27	form	form	NOUN
cana-4595	88	28	:	:	PUNCT
cana-4595	88	29	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	88	30	)	)	PUNCT
cana-4595	88	31	=	=	SYM
cana-4595	88	32	[	[	PUNCT
cana-4595	88	33	𝑝0,0	𝑝0,0	NOUN
cana-4595	88	34	(	(	PUNCT
cana-4595	88	35	𝛼	𝛼	NOUN
cana-4595	88	36	)	)	PUNCT
cana-4595	89	1	𝑝0,1	𝑝0,1	NOUN
cana-4595	89	2	(	(	PUNCT
cana-4595	89	3	𝛼	𝛼	NOUN
cana-4595	89	4	)	)	PUNCT
cana-4595	89	5	𝑝0,2	𝑝0,2	NOUN
cana-4595	89	6	(	(	PUNCT
cana-4595	89	7	𝛼	𝛼	NOUN
cana-4595	89	8	)	)	PUNCT
cana-4595	89	9	…	…	PUNCT
cana-4595	90	1	𝑝1,0	𝑝1,0	PROPN
cana-4595	90	2	(	(	PUNCT
cana-4595	90	3	𝛼	𝛼	NOUN
cana-4595	90	4	)	)	PUNCT
cana-4595	90	5	𝑝1,1	𝑝1,1	NOUN
cana-4595	90	6	(	(	PUNCT
cana-4595	90	7	𝛼	𝛼	NOUN
cana-4595	90	8	)	)	PUNCT
cana-4595	90	9	𝑝1,2	𝑝1,2	NOUN
cana-4595	90	10	(	(	PUNCT
cana-4595	90	11	𝛼	𝛼	NOUN
cana-4595	90	12	)	)	PUNCT
cana-4595	90	13	…	…	PUNCT
cana-4595	90	14	𝑝2,0	𝑝2,0	PROPN
cana-4595	90	15	(	(	PUNCT
cana-4595	90	16	𝛼	𝛼	NOUN
cana-4595	90	17	)	)	PUNCT
cana-4595	90	18	𝑝2,1	𝑝2,1	PROPN
cana-4595	90	19	(	(	PUNCT
cana-4595	90	20	𝛼	𝛼	NOUN
cana-4595	90	21	)	)	PUNCT
cana-4595	90	22	𝑝2,2	𝑝2,2	PROPN
cana-4595	90	23	(	(	PUNCT
cana-4595	90	24	𝛼	𝛼	NOUN
cana-4595	90	25	)	)	PUNCT
cana-4595	90	26	…	…	PUNCT
cana-4595	90	27	⋮	⋮	NOUN
cana-4595	90	28	⋮	⋮	ADJ
cana-4595	90	29	⋮	⋮	NOUN
cana-4595	90	30	⋱	⋱	X
cana-4595	90	31	]	]	PUNCT
cana-4595	90	32	each	each	DET
cana-4595	90	33	element	element	NOUN
cana-4595	90	34	𝑝𝑛,𝑚	𝑝𝑛,𝑚	PUNCT
cana-4595	90	35	(	(	PUNCT
cana-4595	90	36	𝛼	𝛼	X
cana-4595	90	37	)	)	PUNCT
cana-4595	90	38	is	be	AUX
cana-4595	90	39	determined	determine	VERB
cana-4595	90	40	by	by	ADP
cana-4595	90	41	fractional	fractional	ADJ
cana-4595	90	42	integration	integration	NOUN
cana-4595	90	43	formulas	formula	NOUN
cana-4595	90	44	and	and	CCONJ
cana-4595	90	45	the	the	DET
cana-4595	90	46	recurrence	recurrence	NOUN
cana-4595	90	47	relations	relation	NOUN
cana-4595	90	48	of	of	ADP
cana-4595	90	49	gnocchi	gnocchi	NOUN
cana-4595	90	50	polynomials	polynomial	NOUN
cana-4595	90	51	[	[	X
cana-4595	90	52	1	1	NUM
cana-4595	90	53	]	]	PUNCT
cana-4595	90	54	.	.	PUNCT
cana-4595	91	1	this	this	DET
cana-4595	91	2	operational	operational	ADJ
cana-4595	91	3	matrix	matrix	NOUN
cana-4595	91	4	is	be	AUX
cana-4595	91	5	used	use	VERB
cana-4595	91	6	for	for	ADP
cana-4595	91	7	the	the	DET
cana-4595	91	8	computation	computation	NOUN
cana-4595	91	9	of	of	ADP
cana-4595	91	10	fractional	fractional	ADJ
cana-4595	91	11	derivatives	derivative	NOUN
cana-4595	91	12	without	without	ADP
cana-4595	91	13	numerical	numerical	ADJ
cana-4595	91	14	differentiation	differentiation	NOUN
cana-4595	91	15	.	.	PUNCT
cana-4595	92	1	3.2	3.2	NUM
cana-4595	92	2	properties	property	NOUN
cana-4595	92	3	of	of	ADP
cana-4595	92	4	the	the	DET
cana-4595	92	5	new	new	ADJ
cana-4595	92	6	operational	operational	ADJ
cana-4595	92	7	matrix	matrix	NOUN
cana-4595	92	8	3.2.1	3.2.1	NUM
cana-4595	92	9	sparsity	sparsity	NOUN
cana-4595	92	10	and	and	CCONJ
cana-4595	92	11	structure	structure	NOUN
cana-4595	92	12	analysis	analysis	NOUN
cana-4595	92	13	a	a	DET
cana-4595	92	14	crucial	crucial	ADJ
cana-4595	92	15	property	property	NOUN
cana-4595	92	16	of	of	ADP
cana-4595	92	17	𝑃(𝛼	𝑃(𝛼	PUNCT
cana-4595	92	18	)	)	PUNCT
cana-4595	92	19	is	be	AUX
cana-4595	92	20	banded	band	VERB
cana-4595	92	21	sparsity	sparsity	NOUN
cana-4595	92	22	,	,	PUNCT
cana-4595	92	23	meaning	mean	VERB
cana-4595	92	24	that	that	SCONJ
cana-4595	92	25	most	most	ADJ
cana-4595	92	26	elements	element	NOUN
cana-4595	92	27	in	in	ADP
cana-4595	92	28	the	the	DET
cana-4595	92	29	matrix	matrix	NOUN
cana-4595	92	30	are	be	AUX
cana-4595	92	31	zero	zero	NUM
cana-4595	92	32	except	except	SCONJ
cana-4595	92	33	for	for	ADP
cana-4595	92	34	a	a	DET
cana-4595	92	35	few	few	ADJ
cana-4595	92	36	dominant	dominant	ADJ
cana-4595	92	37	terms	term	NOUN
cana-4595	92	38	.	.	PUNCT
cana-4595	93	1	reduced	reduce	VERB
cana-4595	93	2	computational	computational	ADJ
cana-4595	93	3	complexity	complexity	NOUN
cana-4595	93	4	when	when	SCONJ
cana-4595	93	5	solving	solve	VERB
cana-4595	93	6	non	non	ADJ
cana-4595	93	7	linear	linear	ADJ
cana-4595	93	8	fractional	fractional	ADJ
cana-4595	93	9	differential	differential	NOUN
cana-4595	93	10	equations	equation	NOUN
cana-4595	93	11	is	be	AUX
cana-4595	93	12	possible	possible	ADJ
cana-4595	93	13	due	due	ADP
cana-4595	93	14	to	to	ADP
cana-4595	93	15	this	this	DET
cana-4595	93	16	sparsity	sparsity	NOUN
cana-4595	93	17	structure	structure	NOUN
cana-4595	93	18	.	.	PUNCT
cana-4595	94	1	formally	formally	ADV
cana-4595	94	2	,	,	PUNCT
cana-4595	94	3	the	the	DET
cana-4595	94	4	bandwidth	bandwidth	ADJ
cana-4595	94	5	𝐵	𝐵	NOUN
cana-4595	94	6	of	of	ADP
cana-4595	94	7	the	the	DET
cana-4595	94	8	operational	operational	ADJ
cana-4595	94	9	matrix	matrix	NOUN
cana-4595	94	10	satisfies	satisfie	NOUN
cana-4595	94	11	:	:	PUNCT
cana-4595	94	12	𝐵	𝐵	NOUN
cana-4595	94	13	=	=	SYM
cana-4595	94	14	𝒪(𝛼𝑛	𝒪(𝛼𝑛	PROPN
cana-4595	94	15	)	)	PUNCT
cana-4595	94	16	where	where	SCONJ
cana-4595	94	17	𝑛	𝑛	PROPN
cana-4595	94	18	is	be	AUX
cana-4595	94	19	the	the	DET
cana-4595	94	20	polynomial	polynomial	ADJ
cana-4595	94	21	order	order	NOUN
cana-4595	94	22	.	.	PUNCT
cana-4595	95	1	the	the	DET
cana-4595	95	2	sparsity	sparsity	NOUN
cana-4595	95	3	improves	improve	VERB
cana-4595	95	4	as	as	ADP
cana-4595	95	5	𝛼	𝛼	NOUN
cana-4595	95	6	decreases	decrease	NOUN
cana-4595	95	7	,	,	PUNCT
cana-4595	95	8	leading	lead	VERB
cana-4595	95	9	to	to	ADP
cana-4595	95	10	a	a	DET
cana-4595	95	11	more	more	ADV
cana-4595	95	12	efficient	efficient	ADJ
cana-4595	95	13	representation	representation	NOUN
cana-4595	95	14	of	of	ADP
cana-4595	95	15	fractional	fractional	ADJ
cana-4595	95	16	operators	operator	NOUN
cana-4595	95	17	[	[	X
cana-4595	95	18	2	2	NUM
cana-4595	95	19	]	]	PUNCT
cana-4595	95	20	.	.	PUNCT
cana-4595	96	1	3.2.2	3.2.2	NUM
cana-4595	96	2	convergence	convergence	NOUN
cana-4595	96	3	and	and	CCONJ
cana-4595	96	4	stability	stability	NOUN
cana-4595	96	5	of	of	ADP
cana-4595	96	6	the	the	DET
cana-4595	96	7	matrix	matrix	NOUN
cana-4595	96	8	-	-	PUNCT
cana-4595	96	9	based	base	VERB
cana-4595	96	10	approximation	approximation	NOUN
cana-4595	96	11	spectral	spectral	ADJ
cana-4595	96	12	convergence	convergence	NOUN
cana-4595	96	13	techniques	technique	NOUN
cana-4595	96	14	are	be	AUX
cana-4595	96	15	used	use	VERB
cana-4595	96	16	to	to	PART
cana-4595	96	17	analyze	analyze	VERB
cana-4595	96	18	the	the	DET
cana-4595	96	19	accuracy	accuracy	NOUN
cana-4595	96	20	of	of	ADP
cana-4595	96	21	the	the	DET
cana-4595	96	22	operational	operational	ADJ
cana-4595	96	23	matrix	matrix	NOUN
cana-4595	96	24	approach	approach	NOUN
cana-4595	96	25	.	.	PUNCT
cana-4595	97	1	given	give	VERB
cana-4595	97	2	a	a	DET
cana-4595	97	3	function	function	NOUN
cana-4595	97	4	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	97	5	)	)	PUNCT
cana-4595	97	6	with	with	ADP
cana-4595	97	7	an	an	DET
cana-4595	97	8	exact	exact	ADJ
cana-4595	97	9	solution	solution	NOUN
cana-4595	97	10	𝑓exact	𝑓exact	NOUN
cana-4595	97	11	(	(	PUNCT
cana-4595	97	12	𝑥	𝑥	NOUN
cana-4595	97	13	)	)	PUNCT
cana-4595	97	14	,	,	PUNCT
cana-4595	97	15	the	the	DET
cana-4595	97	16	error	error	NOUN
cana-4595	97	17	function	function	NOUN
cana-4595	97	18	is	be	AUX
cana-4595	97	19	defined	define	VERB
cana-4595	97	20	as	as	ADP
cana-4595	97	21	:	:	PUNCT
cana-4595	97	22	𝐸(𝑥	𝐸(𝑥	NOUN
cana-4595	97	23	)	)	PUNCT
cana-4595	97	24	=	=	SYM
cana-4595	97	25	‖𝑓(𝑥	‖𝑓(𝑥	NOUN
cana-4595	97	26	)	)	PUNCT
cana-4595	97	27	−	−	PROPN
cana-4595	97	28	𝑓exact	𝑓exact	NOUN
cana-4595	97	29	(	(	PUNCT
cana-4595	97	30	𝑥)‖∞	𝑥)‖∞	ADJ
cana-4595	97	31	the	the	DET
cana-4595	97	32	gnocchi	gnocchi	NOUN
cana-4595	97	33	polynomial	polynomial	ADJ
cana-4595	97	34	expansion	expansion	NOUN
cana-4595	97	35	ensures	ensure	VERB
cana-4595	97	36	that	that	SCONJ
cana-4595	97	37	the	the	DET
cana-4595	97	38	approximation	approximation	NOUN
cana-4595	97	39	error	error	NOUN
cana-4595	97	40	decreases	decrease	VERB
cana-4595	97	41	exponentially	exponentially	ADV
cana-4595	97	42	as	as	ADP
cana-4595	97	43	the	the	DET
cana-4595	97	44	polynomial	polynomial	ADJ
cana-4595	97	45	order	order	NOUN
cana-4595	97	46	𝑛	𝑛	DET
cana-4595	97	47	increases	increase	NOUN
cana-4595	97	48	:	:	PUNCT
cana-4595	97	49	‖𝐸(𝑥)‖∞	‖𝐸(𝑥)‖∞	NOUN
cana-4595	97	50	=	=	SYM
cana-4595	97	51	𝒪(𝑒−𝑛	𝒪(𝑒−𝑛	PROPN
cana-4595	97	52	)	)	PUNCT
cana-4595	97	53	thus	thus	ADV
cana-4595	97	54	,	,	PUNCT
cana-4595	97	55	it	it	PRON
cana-4595	97	56	confirms	confirm	VERB
cana-4595	97	57	that	that	SCONJ
cana-4595	97	58	the	the	DET
cana-4595	97	59	proposed	propose	VERB
cana-4595	97	60	operational	operational	ADJ
cana-4595	97	61	matrix	matrix	NOUN
cana-4595	97	62	results	result	NOUN
cana-4595	97	63	in	in	ADP
cana-4595	97	64	exponential	exponential	ADJ
cana-4595	97	65	convergence	convergence	NOUN
cana-4595	97	66	when	when	SCONJ
cana-4595	97	67	smooth	smooth	ADJ
cana-4595	97	68	function	function	NOUN
cana-4595	97	69	approximations	approximation	NOUN
cana-4595	97	70	are	be	AUX
cana-4595	97	71	considered	consider	VERB
cana-4595	97	72	[	[	PUNCT
cana-4595	97	73	3	3	NUM
cana-4595	97	74	]	]	PUNCT
cana-4595	97	75	.	.	PUNCT
cana-4595	98	1	3.2.3	3.2.3	NUM
cana-4595	98	2	comparison	comparison	NOUN
cana-4595	98	3	with	with	ADP
cana-4595	98	4	existing	exist	VERB
cana-4595	98	5	polynomial	polynomial	ADJ
cana-4595	98	6	-	-	PUNCT
cana-4595	98	7	based	base	VERB
cana-4595	98	8	operational	operational	ADJ
cana-4595	98	9	matrices	matrix	NOUN
cana-4595	98	10	the	the	DET
cana-4595	98	11	newly	newly	ADV
cana-4595	98	12	proposed	propose	VERB
cana-4595	98	13	gnocchi	gnocchi	NOUN
cana-4595	98	14	polynomial	polynomial	ADJ
cana-4595	98	15	-	-	PUNCT
cana-4595	98	16	based	base	VERB
cana-4595	98	17	operational	operational	ADJ
cana-4595	98	18	matrix	matrix	NOUN
cana-4595	98	19	is	be	AUX
cana-4595	98	20	compared	compare	VERB
cana-4595	98	21	against	against	ADP
cana-4595	98	22	legendre	legendre	PROPN
cana-4595	98	23	,	,	PUNCT
cana-4595	98	24	chebyshev	chebyshev	PROPN
cana-4595	98	25	,	,	PUNCT
cana-4595	98	26	and	and	CCONJ
cana-4595	98	27	jacobi	jacobi	PROPN
cana-4595	98	28	polynomial	polynomial	PROPN
cana-4595	98	29	-	-	PUNCT
cana-4595	98	30	based	base	VERB
cana-4595	98	31	matrices	matrix	NOUN
cana-4595	98	32	.	.	PUNCT
cana-4595	99	1	a	a	DET
cana-4595	99	2	comparative	comparative	ADJ
cana-4595	99	3	analysis	analysis	NOUN
cana-4595	99	4	shows	show	VERB
cana-4595	99	5	that	that	SCONJ
cana-4595	99	6	:	:	PUNCT
cana-4595	99	7	1	1	X
cana-4595	99	8	.	.	X
cana-4595	99	9	runge	runge	NOUN
cana-4595	99	10	's	's	PART
cana-4595	99	11	phenomenon	phenomenon	NOUN
cana-4595	99	12	leads	lead	VERB
cana-4595	99	13	to	to	ADP
cana-4595	99	14	numerical	numerical	ADJ
cana-4595	99	15	instability	instability	NOUN
cana-4595	99	16	of	of	ADP
cana-4595	99	17	chebyshev	chebyshev	PROPN
cana-4595	99	18	based	base	VERB
cana-4595	99	19	matrices	matrix	NOUN
cana-4595	99	20	for	for	ADP
cana-4595	99	21	large	large	ADJ
cana-4595	99	22	fractional	fractional	ADJ
cana-4595	99	23	orders	order	NOUN
cana-4595	99	24	.	.	PUNCT
cana-4595	100	1	communications	communication	NOUN
cana-4595	100	2	on	on	ADP
cana-4595	100	3	applied	apply	VERB
cana-4595	100	4	nonlinear	nonlinear	ADJ
cana-4595	100	5	analysis	analysis	NOUN
cana-4595	100	6	issn	issn	NOUN
cana-4595	100	7	:	:	PUNCT
cana-4595	100	8	1074	1074	NUM
cana-4595	100	9	-	-	PUNCT
cana-4595	100	10	133x	133x	NUM
cana-4595	100	11	vol	vol	NOUN
cana-4595	100	12	32	32	NUM
cana-4595	100	13	no	no	NOUN
cana-4595	100	14	.	.	PUNCT
cana-4595	101	1	9s	9s	NUM
cana-4595	101	2	(	(	PUNCT
cana-4595	101	3	2025	2025	NUM
cana-4595	101	4	)	)	PUNCT
cana-4595	102	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	102	2	2974	2974	NUM
cana-4595	102	3	2	2	NUM
cana-4595	102	4	.	.	PUNCT
cana-4595	102	5	additional	additional	ADJ
cana-4595	102	6	weight	weight	NOUN
cana-4595	102	7	functions	function	NOUN
cana-4595	102	8	are	be	AUX
cana-4595	102	9	required	require	VERB
cana-4595	102	10	for	for	ADP
cana-4595	102	11	accurate	accurate	ADJ
cana-4595	102	12	approximations	approximation	NOUN
cana-4595	102	13	of	of	ADP
cana-4595	102	14	legendre	legendre	PROPN
cana-4595	102	15	-	-	PUNCT
cana-4595	102	16	based	base	VERB
cana-4595	102	17	matrices	matrix	NOUN
cana-4595	102	18	.	.	PUNCT
cana-4595	103	1	3	3	X
cana-4595	103	2	.	.	X
cana-4595	103	3	while	while	SCONJ
cana-4595	103	4	being	be	AUX
cana-4595	103	5	more	more	ADV
cana-4595	103	6	accurate	accurate	ADJ
cana-4595	103	7	,	,	PUNCT
cana-4595	103	8	jacobi	jacobi	PROPN
cana-4595	103	9	-	-	PUNCT
cana-4595	103	10	based	base	VERB
cana-4595	103	11	matrices	matrix	NOUN
cana-4595	103	12	have	have	VERB
cana-4595	103	13	a	a	DET
cana-4595	103	14	computational	computational	ADJ
cana-4595	103	15	overhead	overhead	NOUN
cana-4595	103	16	.	.	PUNCT
cana-4595	104	1	4	4	X
cana-4595	104	2	.	.	NUM
cana-4595	104	3	matrices	matrix	NOUN
cana-4595	104	4	based	base	VERB
cana-4595	104	5	on	on	ADP
cana-4595	104	6	gnocchi	gnocchi	NOUN
cana-4595	104	7	are	be	AUX
cana-4595	104	8	optimal	optimal	ADJ
cana-4595	104	9	in	in	ADP
cana-4595	104	10	terms	term	NOUN
cana-4595	104	11	of	of	ADP
cana-4595	104	12	sparsity	sparsity	NOUN
cana-4595	104	13	,	,	PUNCT
cana-4595	104	14	lower	low	ADJ
cana-4595	104	15	computational	computational	ADJ
cana-4595	104	16	cost	cost	NOUN
cana-4595	104	17	and	and	CCONJ
cana-4595	104	18	higher	high	ADJ
cana-4595	104	19	numerical	numerical	ADJ
cana-4595	104	20	stability	stability	NOUN
cana-4595	104	21	,	,	PUNCT
cana-4595	104	22	and	and	CCONJ
cana-4595	104	23	hence	hence	ADV
cana-4595	104	24	,	,	PUNCT
cana-4595	104	25	suited	suit	VERB
cana-4595	104	26	for	for	ADP
cana-4595	104	27	solving	solve	VERB
cana-4595	104	28	non	non	ADJ
cana-4595	104	29	-	-	ADJ
cana-4595	104	30	linear	linear	ADJ
cana-4595	104	31	fractional	fractional	ADJ
cana-4595	104	32	differential	differential	ADJ
cana-4595	104	33	equations	equation	NOUN
cana-4595	104	34	[	[	X
cana-4595	104	35	4	4	NUM
cana-4595	104	36	]	]	PUNCT
cana-4595	104	37	.	.	PUNCT
cana-4595	105	1	3.3	3.3	NUM
cana-4595	105	2	analytical	analytical	ADJ
cana-4595	105	3	proofs	proof	NOUN
cana-4595	105	4	and	and	CCONJ
cana-4595	105	5	theorems	theorem	NOUN
cana-4595	105	6	3.3.1	3.3.1	NUM
cana-4595	105	7	proof	proof	NOUN
cana-4595	105	8	of	of	ADP
cana-4595	105	9	existence	existence	NOUN
cana-4595	105	10	and	and	CCONJ
cana-4595	105	11	uniqueness	uniqueness	NOUN
cana-4595	105	12	of	of	ADP
cana-4595	105	13	the	the	DET
cana-4595	105	14	proposed	propose	VERB
cana-4595	105	15	method	method	NOUN
cana-4595	105	16	we	we	PRON
cana-4595	105	17	establish	establish	VERB
cana-4595	105	18	the	the	DET
cana-4595	105	19	existence	existence	NOUN
cana-4595	105	20	and	and	CCONJ
cana-4595	105	21	uniqueness	uniqueness	NOUN
cana-4595	105	22	of	of	ADP
cana-4595	105	23	the	the	DET
cana-4595	105	24	proposed	propose	VERB
cana-4595	105	25	method	method	NOUN
cana-4595	105	26	using	use	VERB
cana-4595	105	27	spectral	spectral	ADJ
cana-4595	105	28	theory	theory	NOUN
cana-4595	105	29	.	.	PUNCT
cana-4595	106	1	theorem	theorem	ADJ
cana-4595	106	2	1	1	NUM
cana-4595	106	3	(	(	PUNCT
cana-4595	106	4	existence	existence	NOUN
cana-4595	106	5	and	and	CCONJ
cana-4595	106	6	uniqueness	uniqueness	NOUN
cana-4595	106	7	of	of	ADP
cana-4595	106	8	the	the	DET
cana-4595	106	9	gnocchi	gnocchi	NOUN
cana-4595	106	10	polynomial	polynomial	ADJ
cana-4595	106	11	expansion	expansion	NOUN
cana-4595	106	12	):	):	PUNCT
cana-4595	106	13	let	let	VERB
cana-4595	106	14	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	106	15	)	)	PUNCT
cana-4595	106	16	be	be	AUX
cana-4595	106	17	an	an	DET
cana-4595	106	18	analytic	analytic	ADJ
cana-4595	106	19	function	function	NOUN
cana-4595	106	20	on	on	ADP
cana-4595	106	21	[	[	X
cana-4595	106	22	−1,1	−1,1	NOUN
cana-4595	106	23	]	]	PUNCT
cana-4595	106	24	.	.	PUNCT
cana-4595	107	1	then	then	ADV
cana-4595	107	2	,	,	PUNCT
cana-4595	107	3	there	there	PRON
cana-4595	107	4	exists	exist	VERB
cana-4595	107	5	a	a	DET
cana-4595	107	6	unique	unique	ADJ
cana-4595	107	7	set	set	NOUN
cana-4595	107	8	of	of	ADP
cana-4595	107	9	coefficients	coefficient	NOUN
cana-4595	107	10	𝑐𝑛	𝑐𝑛	ADP
cana-4595	107	11	such	such	ADJ
cana-4595	107	12	that	that	SCONJ
cana-4595	107	13	:	:	PUNCT
cana-4595	107	14	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	107	15	)	)	PUNCT
cana-4595	107	16	=	=	PUNCT
cana-4595	107	17	∑	∑	PUNCT
cana-4595	107	18	  	  	SPACE
cana-4595	107	19	∞	∞	NUM
cana-4595	108	1	𝑛=0	𝑛=0	PROPN
cana-4595	108	2	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	ADJ
cana-4595	108	3	)	)	PUNCT
cana-4595	108	4	proof	proof	NOUN
cana-4595	108	5	:	:	PUNCT
cana-4595	108	6	any	any	DET
cana-4595	108	7	continuous	continuous	ADJ
cana-4595	108	8	function	function	NOUN
cana-4595	108	9	on	on	ADP
cana-4595	108	10	a	a	DET
cana-4595	108	11	closed	closed	ADJ
cana-4595	108	12	interval	interval	NOUN
cana-4595	108	13	can	can	AUX
cana-4595	108	14	be	be	AUX
cana-4595	108	15	approximated	approximate	VERB
cana-4595	108	16	by	by	ADP
cana-4595	108	17	a	a	DET
cana-4595	108	18	sequence	sequence	NOUN
cana-4595	108	19	of	of	ADP
cana-4595	108	20	polynomials	polynomial	NOUN
cana-4595	108	21	by	by	ADP
cana-4595	108	22	the	the	DET
cana-4595	108	23	weierstrass	weierstrass	NOUN
cana-4595	108	24	approximation	approximation	NOUN
cana-4595	108	25	theorem	theorem	NOUN
cana-4595	108	26	.	.	PUNCT
cana-4595	109	1	since	since	SCONJ
cana-4595	109	2	the	the	DET
cana-4595	109	3	gnocchi	gnocchi	NOUN
cana-4595	109	4	polynomials	polynomial	NOUN
cana-4595	109	5	are	be	AUX
cana-4595	109	6	complete	complete	ADJ
cana-4595	109	7	orthonormal	orthonormal	ADJ
cana-4595	109	8	,	,	PUNCT
cana-4595	109	9	the	the	DET
cana-4595	109	10	expansion	expansion	NOUN
cana-4595	109	11	:	:	PUNCT
cana-4595	109	12	𝑐𝑛	𝑐𝑛	PROPN
cana-4595	110	1	=	=	SYM
cana-4595	110	2	∫	∫	PROPN
cana-4595	110	3	  	  	SPACE
cana-4595	110	4	1	1	NUM
cana-4595	110	5	−1	−1	NOUN
cana-4595	110	6	 	 	SPACE
cana-4595	110	7	𝑓(𝑥)𝐺𝑛(𝑥)𝑑𝑥	𝑓(𝑥)𝐺𝑛(𝑥)𝑑𝑥	PROPN
cana-4595	110	8	∫	∫	PROPN
cana-4595	110	9	  	  	SPACE
cana-4595	110	10	1	1	NUM
cana-4595	110	11	−1	−1	NOUN
cana-4595	110	12	 	 	SPACE
cana-4595	110	13	𝐺𝑛	𝐺𝑛	PROPN
cana-4595	110	14	2(𝑥)𝑑𝑥	2(𝑥)𝑑𝑥	NUM
cana-4595	110	15	is	be	AUX
cana-4595	110	16	unique	unique	ADJ
cana-4595	110	17	,	,	PUNCT
cana-4595	110	18	proving	prove	VERB
cana-4595	110	19	the	the	DET
cana-4595	110	20	theorem	theorem	NOUN
cana-4595	110	21	.	.	PROPN
cana-4595	111	1	3.3.2	3.3.2	NUM
cana-4595	111	2	mathematical	mathematical	ADJ
cana-4595	111	3	justifications	justification	NOUN
cana-4595	111	4	for	for	ADP
cana-4595	111	5	accuracy	accuracy	NOUN
cana-4595	111	6	the	the	DET
cana-4595	111	7	accuracy	accuracy	NOUN
cana-4595	111	8	of	of	ADP
cana-4595	111	9	the	the	DET
cana-4595	111	10	gnocchi	gnocchi	NOUN
cana-4595	111	11	-	-	PUNCT
cana-4595	111	12	based	base	VERB
cana-4595	111	13	operational	operational	ADJ
cana-4595	111	14	matrix	matrix	NOUN
cana-4595	111	15	is	be	AUX
cana-4595	111	16	established	establish	VERB
cana-4595	111	17	using	use	VERB
cana-4595	111	18	an	an	DET
cana-4595	111	19	error	error	NOUN
cana-4595	111	20	bound	bind	VERB
cana-4595	111	21	theorem	theorem	NOUN
cana-4595	111	22	:	:	PUNCT
cana-4595	111	23	theorem	theorem	ADJ
cana-4595	111	24	2	2	NUM
cana-4595	111	25	(	(	PUNCT
cana-4595	111	26	error	error	NOUN
cana-4595	111	27	bound	bind	VERB
cana-4595	111	28	for	for	ADP
cana-4595	111	29	gnocchi	gnocchi	NOUN
cana-4595	111	30	polynomial	polynomial	ADJ
cana-4595	111	31	approximation	approximation	NOUN
cana-4595	111	32	):	):	PUNCT
cana-4595	111	33	if	if	SCONJ
cana-4595	111	34	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4595	111	35	)	)	PUNCT
cana-4595	111	36	is	be	AUX
cana-4595	111	37	𝑘-times	𝑘-time	NOUN
cana-4595	111	38	continuously	continuously	ADV
cana-4595	111	39	differentiable	differentiable	ADJ
cana-4595	111	40	,	,	PUNCT
cana-4595	111	41	then	then	ADV
cana-4595	111	42	the	the	DET
cana-4595	111	43	approximation	approximation	NOUN
cana-4595	111	44	error	error	NOUN
cana-4595	111	45	satisfies	satisfie	NOUN
cana-4595	111	46	:	:	PUNCT
cana-4595	111	47	‖𝑓(𝑥	‖𝑓(𝑥	NOUN
cana-4595	111	48	)	)	PUNCT
cana-4595	111	49	−	−	NOUN
cana-4595	111	50	𝑓𝑁(𝑥)‖∞	𝑓𝑁(𝑥)‖∞	ADJ
cana-4595	111	51	≤	≤	ADJ
cana-4595	111	52	𝑀	𝑀	PROPN
cana-4595	111	53	(	(	PUNCT
cana-4595	111	54	𝑁	𝑁	PROPN
cana-4595	111	55	+	+	NOUN
cana-4595	111	56	1)𝑘	1)𝑘	NUM
cana-4595	111	57	where	where	SCONJ
cana-4595	111	58	𝑀	𝑀	PROPN
cana-4595	111	59	is	be	AUX
cana-4595	111	60	a	a	DET
cana-4595	111	61	constant	constant	ADJ
cana-4595	111	62	and	and	CCONJ
cana-4595	111	63	𝑁	𝑁	PROPN
cana-4595	111	64	is	be	AUX
cana-4595	111	65	the	the	DET
cana-4595	111	66	polynomial	polynomial	ADJ
cana-4595	111	67	order	order	NOUN
cana-4595	111	68	.	.	PUNCT
cana-4595	112	1	this	this	PRON
cana-4595	112	2	confirms	confirm	VERB
cana-4595	112	3	superpolynomial	superpolynomial	ADJ
cana-4595	112	4	convergence	convergence	NOUN
cana-4595	112	5	for	for	ADP
cana-4595	112	6	sufficiently	sufficiently	ADV
cana-4595	112	7	smooth	smooth	ADJ
cana-4595	112	8	functions	function	NOUN
cana-4595	112	9	[	[	X
cana-4595	112	10	5	5	NUM
cana-4595	112	11	]	]	PUNCT
cana-4595	112	12	.	.	PUNCT
cana-4595	113	1	4	4	X
cana-4595	113	2	.	.	X
cana-4595	113	3	application	application	NOUN
cana-4595	113	4	to	to	ADP
cana-4595	113	5	non	non	ADJ
cana-4595	113	6	-	-	ADJ
cana-4595	113	7	linear	linear	ADJ
cana-4595	113	8	fractional	fractional	ADJ
cana-4595	113	9	differential	differential	ADJ
cana-4595	113	10	equations	equation	NOUN
cana-4595	113	11	4.1	4.1	NUM
cana-4595	113	12	theoretical	theoretical	ADJ
cana-4595	113	13	formulation	formulation	NOUN
cana-4595	113	14	fractional	fractional	ADJ
cana-4595	113	15	differential	differential	NOUN
cana-4595	113	16	equations	equation	NOUN
cana-4595	113	17	(	(	PUNCT
cana-4595	113	18	fdes	fde	NOUN
cana-4595	113	19	)	)	PUNCT
cana-4595	113	20	enlarge	enlarge	NOUN
cana-4595	113	21	classical	classical	ADJ
cana-4595	113	22	differential	differential	NOUN
cana-4595	113	23	equations	equation	NOUN
cana-4595	113	24	by	by	ADP
cana-4595	113	25	fdes	fde	NOUN
cana-4595	113	26	introduce	introduce	VERB
cana-4595	113	27	noninteger	noninteger	NOUN
cana-4595	113	28	order	order	NOUN
cana-4595	113	29	derivatives	derivative	NOUN
cana-4595	113	30	which	which	PRON
cana-4595	113	31	can	can	AUX
cana-4595	113	32	be	be	AUX
cana-4595	113	33	used	use	VERB
cana-4595	113	34	to	to	PART
cana-4595	113	35	better	well	ADV
cana-4595	113	36	describe	describe	VERB
cana-4595	113	37	memory	memory	NOUN
cana-4595	113	38	and	and	CCONJ
cana-4595	113	39	heredity	heredity	NOUN
cana-4595	113	40	properties	property	NOUN
cana-4595	113	41	of	of	ADP
cana-4595	113	42	such	such	ADJ
cana-4595	113	43	systems	system	NOUN
cana-4595	113	44	.	.	PUNCT
cana-4595	114	1	a	a	DET
cana-4595	114	2	non	non	ADJ
cana-4595	114	3	-	-	ADJ
cana-4595	114	4	linear	linear	ADJ
cana-4595	114	5	fractional	fractional	ADJ
cana-4595	114	6	differential	differential	NOUN
cana-4595	114	7	equation	equation	NOUN
cana-4595	114	8	(	(	PUNCT
cana-4595	114	9	nfde	nfde	NOUN
cana-4595	114	10	)	)	PUNCT
cana-4595	114	11	has	have	VERB
cana-4595	114	12	the	the	DET
cana-4595	114	13	general	general	ADJ
cana-4595	114	14	form	form	NOUN
cana-4595	114	15	:	:	PUNCT
cana-4595	114	16	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	NOUN
cana-4595	114	17	)	)	PUNCT
cana-4595	114	18	+	+	CCONJ
cana-4595	114	19	𝒩(𝑦(𝑥	𝒩(𝑦(𝑥	NOUN
cana-4595	114	20	)	)	PUNCT
cana-4595	114	21	)	)	PUNCT
cana-4595	115	1	=	=	SYM
cana-4595	115	2	𝑔(𝑥	𝑔(𝑥	PROPN
cana-4595	115	3	)	)	PUNCT
cana-4595	115	4	,	,	PUNCT
cana-4595	115	5	0	0	PUNCT
cana-4595	115	6	<	<	X
cana-4595	115	7	𝛼	𝛼	X
cana-4595	115	8	<	<	X
cana-4595	115	9	1	1	NUM
cana-4595	115	10	,	,	PUNCT
cana-4595	115	11	where	where	SCONJ
cana-4595	115	12	𝐷𝛼	𝐷𝛼	NOUN
cana-4595	115	13	represents	represent	VERB
cana-4595	115	14	the	the	DET
cana-4595	115	15	fractional	fractional	ADJ
cana-4595	115	16	derivative	derivative	ADJ
cana-4595	115	17	operator	operator	NOUN
cana-4595	115	18	(	(	PUNCT
cana-4595	115	19	caputo	caputo	PROPN
cana-4595	115	20	or	or	CCONJ
cana-4595	115	21	riemann	riemann	PROPN
cana-4595	115	22	-	-	PUNCT
cana-4595	115	23	liouville	liouville	NOUN
cana-4595	115	24	)	)	PUNCT
cana-4595	115	25	,	,	PUNCT
cana-4595	115	26	𝒩(𝑦(𝑥	𝒩(𝑦(𝑥	NOUN
cana-4595	115	27	)	)	PUNCT
cana-4595	115	28	)	)	PUNCT
cana-4595	115	29	is	be	AUX
cana-4595	115	30	a	a	DET
cana-4595	115	31	non	non	ADJ
cana-4595	115	32	-	-	ADJ
cana-4595	115	33	linear	linear	ADJ
cana-4595	115	34	function	function	NOUN
cana-4595	115	35	of	of	ADP
cana-4595	115	36	𝑦(𝑥	𝑦(𝑥	NOUN
cana-4595	115	37	)	)	PUNCT
cana-4595	115	38	,	,	PUNCT
cana-4595	115	39	and	and	CCONJ
cana-4595	115	40	𝑔(𝑥	𝑔(𝑥	NUM
cana-4595	115	41	)	)	PUNCT
cana-4595	115	42	is	be	AUX
cana-4595	115	43	a	a	DET
cana-4595	115	44	given	give	VERB
cana-4595	115	45	forcing	force	VERB
cana-4595	115	46	function	function	NOUN
cana-4595	115	47	.	.	PUNCT
cana-4595	116	1	to	to	PART
cana-4595	116	2	efficiently	efficiently	ADV
cana-4595	116	3	solve	solve	VERB
cana-4595	116	4	this	this	DET
cana-4595	116	5	equation	equation	NOUN
cana-4595	116	6	,	,	PUNCT
cana-4595	116	7	we	we	PRON
cana-4595	116	8	approximate	approximate	VERB
cana-4595	116	9	the	the	DET
cana-4595	116	10	function	function	NOUN
cana-4595	116	11	𝑦(𝑥	𝑦(𝑥	NOUN
cana-4595	116	12	)	)	PUNCT
cana-4595	116	13	using	use	VERB
cana-4595	116	14	gnocchi	gnocchi	NOUN
cana-4595	116	15	polynomials	polynomial	NOUN
cana-4595	116	16	:	:	PUNCT
cana-4595	116	17	𝑦(𝑥	𝑦(𝑥	X
cana-4595	116	18	)	)	PUNCT
cana-4595	117	1	≈	≈	NUM
cana-4595	117	2	∑	∑	PUNCT
cana-4595	117	3	  	  	SPACE
cana-4595	117	4	∞	∞	NUM
cana-4595	118	1	𝑛=0	𝑛=0	PROPN
cana-4595	118	2	𝑐𝑛𝐺𝑛(𝑥	𝑐𝑛𝐺𝑛(𝑥	PROPN
cana-4595	118	3	)	)	PUNCT
cana-4595	118	4	applying	apply	VERB
cana-4595	118	5	the	the	DET
cana-4595	118	6	newly	newly	ADV
cana-4595	118	7	developed	develop	VERB
cana-4595	118	8	gnocchi	gnocchi	NOUN
cana-4595	118	9	polynomial	polynomial	ADJ
cana-4595	118	10	-	-	PUNCT
cana-4595	118	11	based	base	VERB
cana-4595	118	12	operational	operational	ADJ
cana-4595	118	13	matrix	matrix	NOUN
cana-4595	118	14	,	,	PUNCT
cana-4595	118	15	the	the	DET
cana-4595	118	16	fractional	fractional	ADJ
cana-4595	118	17	derivative	derivative	NOUN
cana-4595	118	18	of	of	ADP
cana-4595	118	19	𝑦(𝑥	𝑦(𝑥	PROPN
cana-4595	118	20	)	)	PUNCT
cana-4595	118	21	can	can	AUX
cana-4595	118	22	be	be	AUX
cana-4595	118	23	expressed	express	VERB
cana-4595	118	24	as	as	ADP
cana-4595	118	25	:	:	PUNCT
cana-4595	118	26	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	NOUN
cana-4595	118	27	)	)	PUNCT
cana-4595	119	1	≈	≈	PROPN
cana-4595	119	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	119	3	)	)	PUNCT
cana-4595	119	4	where	where	SCONJ
cana-4595	119	5	:	:	PUNCT
cana-4595	119	6	•	•	NUM
cana-4595	119	7	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	119	8	)	)	PUNCT
cana-4595	119	9	is	be	AUX
cana-4595	119	10	the	the	DET
cana-4595	119	11	fractional	fractional	ADJ
cana-4595	119	12	differentiation	differentiation	NOUN
cana-4595	119	13	operational	operational	ADJ
cana-4595	119	14	matrix	matrix	NOUN
cana-4595	119	15	.	.	PUNCT
cana-4595	120	1	•	•	NUM
cana-4595	120	2	𝐶	𝐶	PROPN
cana-4595	120	3	=	=	PUNCT
cana-4595	121	1	[	[	X
cana-4595	121	2	𝑐0	𝑐0	NOUN
cana-4595	121	3	,	,	PUNCT
cana-4595	121	4	𝑐1	𝑐1	NOUN
cana-4595	121	5	,	,	PUNCT
cana-4595	121	6	…	…	PUNCT
cana-4595	121	7	,	,	PUNCT
cana-4595	121	8	𝑐𝑛]𝑇	𝑐𝑛]𝑇	NOUN
cana-4595	121	9	is	be	AUX
cana-4595	121	10	the	the	DET
cana-4595	121	11	coefficient	coefficient	NOUN
cana-4595	121	12	vector	vector	NOUN
cana-4595	121	13	.	.	PUNCT
cana-4595	122	1	communications	communication	NOUN
cana-4595	122	2	on	on	ADP
cana-4595	122	3	applied	apply	VERB
cana-4595	122	4	nonlinear	nonlinear	ADJ
cana-4595	122	5	analysis	analysis	NOUN
cana-4595	122	6	issn	issn	NOUN
cana-4595	122	7	:	:	PUNCT
cana-4595	122	8	1074	1074	NUM
cana-4595	122	9	-	-	PUNCT
cana-4595	122	10	133x	133x	NUM
cana-4595	122	11	vol	vol	NOUN
cana-4595	122	12	32	32	NUM
cana-4595	122	13	no	no	NOUN
cana-4595	122	14	.	.	PUNCT
cana-4595	123	1	9s	9s	NUM
cana-4595	123	2	(	(	PUNCT
cana-4595	123	3	2025	2025	NUM
cana-4595	123	4	)	)	PUNCT
cana-4595	123	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	123	6	2975	2975	NUM
cana-4595	123	7	•	•	NUM
cana-4595	123	8	𝐺(𝑥	𝐺(𝑥	NOUN
cana-4595	123	9	)	)	PUNCT
cana-4595	123	10	represents	represent	VERB
cana-4595	123	11	the	the	DET
cana-4595	123	12	basis	basis	NOUN
cana-4595	123	13	expansion	expansion	NOUN
cana-4595	123	14	using	use	VERB
cana-4595	123	15	gnocchi	gnocchi	NOUN
cana-4595	123	16	polynomials	polynomial	NOUN
cana-4595	123	17	.	.	PUNCT
cana-4595	124	1	substituting	substitute	VERB
cana-4595	124	2	this	this	DET
cana-4595	124	3	approximation	approximation	NOUN
cana-4595	124	4	into	into	ADP
cana-4595	124	5	the	the	DET
cana-4595	124	6	given	give	VERB
cana-4595	124	7	nfde	nfde	NOUN
cana-4595	124	8	results	result	NOUN
cana-4595	124	9	in	in	ADP
cana-4595	124	10	:	:	PUNCT
cana-4595	124	11	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	124	12	)	)	PUNCT
cana-4595	124	13	+	+	SYM
cana-4595	124	14	𝒩(𝐶𝑇𝐺(𝑥	𝒩(𝐶𝑇𝐺(𝑥	NOUN
cana-4595	124	15	)	)	PUNCT
cana-4595	124	16	)	)	PUNCT
cana-4595	125	1	=	=	SYM
cana-4595	125	2	𝑔(𝑥	𝑔(𝑥	PROPN
cana-4595	125	3	)	)	PUNCT
cana-4595	125	4	this	this	DET
cana-4595	125	5	formulation	formulation	NOUN
cana-4595	125	6	transforms	transform	VERB
cana-4595	125	7	the	the	DET
cana-4595	125	8	original	original	ADJ
cana-4595	125	9	differential	differential	NOUN
cana-4595	125	10	equation	equation	NOUN
cana-4595	125	11	into	into	ADP
cana-4595	125	12	an	an	DET
cana-4595	125	13	algebraic	algebraic	ADJ
cana-4595	125	14	system	system	NOUN
cana-4595	125	15	that	that	PRON
cana-4595	125	16	can	can	AUX
cana-4595	125	17	be	be	AUX
cana-4595	125	18	solved	solve	VERB
cana-4595	125	19	for	for	ADP
cana-4595	125	20	the	the	DET
cana-4595	125	21	unknown	unknown	ADJ
cana-4595	125	22	coefficients	coefficient	NOUN
cana-4595	125	23	𝐶.	𝐶.	PROPN
cana-4595	125	24	4.2	4.2	NUM
cana-4595	125	25	analytical	analytical	ADJ
cana-4595	125	26	solution	solution	NOUN
cana-4595	125	27	approximation	approximation	NOUN
cana-4595	125	28	to	to	PART
cana-4595	125	29	obtain	obtain	VERB
cana-4595	125	30	an	an	DET
cana-4595	125	31	explicit	explicit	ADJ
cana-4595	125	32	solution	solution	NOUN
cana-4595	125	33	,	,	PUNCT
cana-4595	125	34	we	we	PRON
cana-4595	125	35	express	express	VERB
cana-4595	125	36	the	the	DET
cana-4595	125	37	non	non	ADJ
cana-4595	125	38	-	-	ADJ
cana-4595	125	39	linear	linear	ADJ
cana-4595	125	40	term	term	NOUN
cana-4595	125	41	using	use	VERB
cana-4595	125	42	a	a	DET
cana-4595	125	43	power	power	NOUN
cana-4595	125	44	series	series	NOUN
cana-4595	125	45	expansion	expansion	NOUN
cana-4595	125	46	:	:	PUNCT
cana-4595	125	47	𝒩(𝑦(𝑥	𝒩(𝑦(𝑥	NOUN
cana-4595	125	48	)	)	PUNCT
cana-4595	125	49	)	)	PUNCT
cana-4595	126	1	=	=	PUNCT
cana-4595	126	2	∑	∑	PUNCT
cana-4595	126	3	  	  	SPACE
cana-4595	126	4	∞	∞	NUM
cana-4595	126	5	𝑚=0	𝑚=0	PUNCT
cana-4595	126	6	𝑎𝑚(𝑦(𝑥))𝑚.	𝑎𝑚(𝑦(𝑥))𝑚.	NOUN
cana-4595	126	7	using	use	VERB
cana-4595	126	8	the	the	DET
cana-4595	126	9	gnocchi	gnocchi	NOUN
cana-4595	126	10	expansion	expansion	NOUN
cana-4595	126	11	:	:	PUNCT
cana-4595	126	12	(	(	PUNCT
cana-4595	126	13	𝑦(𝑥))𝑚	𝑦(𝑥))𝑚	PROPN
cana-4595	126	14	≈	≈	PROPN
cana-4595	126	15	∑	∑	PUNCT
cana-4595	126	16	  	  	SPACE
cana-4595	126	17	∞	∞	PROPN
cana-4595	126	18	𝑘=0	𝑘=0	PROPN
cana-4595	126	19	𝑑𝑘𝐺𝑘(𝑥	𝑑𝑘𝐺𝑘(𝑥	ADJ
cana-4595	126	20	)	)	PUNCT
cana-4595	126	21	we	we	PRON
cana-4595	126	22	rewrite	rewrite	VERB
cana-4595	126	23	the	the	DET
cana-4595	126	24	transformed	transform	VERB
cana-4595	126	25	nfde	nfde	NOUN
cana-4595	126	26	as	as	ADP
cana-4595	126	27	:	:	PUNCT
cana-4595	126	28	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	126	29	)	)	PUNCT
cana-4595	126	30	+	+	CCONJ
cana-4595	126	31	∑	∑	PUNCT
cana-4595	126	32	  	  	SPACE
cana-4595	126	33	∞	∞	NUM
cana-4595	126	34	𝑚=0	𝑚=0	SYM
cana-4595	126	35	𝑎𝑚	𝑎𝑚	ADV
cana-4595	126	36	∑	∑	ADP
cana-4595	126	37	  	  	SPACE
cana-4595	126	38	∞	∞	PROPN
cana-4595	126	39	𝑘=0	𝑘=0	PROPN
cana-4595	126	40	𝑑𝑘𝐺𝑘(𝑥	𝑑𝑘𝐺𝑘(𝑥	ADJ
cana-4595	126	41	)	)	PUNCT
cana-4595	126	42	=	=	PUNCT
cana-4595	126	43	𝑔(𝑥	𝑔(𝑥	PROPN
cana-4595	126	44	)	)	PUNCT
cana-4595	126	45	.	.	PUNCT
cana-4595	127	1	by	by	ADP
cana-4595	127	2	taking	take	VERB
cana-4595	127	3	the	the	DET
cana-4595	127	4	inner	inner	ADJ
cana-4595	127	5	product	product	NOUN
cana-4595	127	6	with	with	ADP
cana-4595	127	7	𝐺𝑛(𝑥	𝐺𝑛(𝑥	NOUN
cana-4595	127	8	)	)	PUNCT
cana-4595	127	9	and	and	CCONJ
cana-4595	127	10	utilizing	utilize	VERB
cana-4595	127	11	orthogonality	orthogonality	NOUN
cana-4595	127	12	properties	property	NOUN
cana-4595	127	13	,	,	PUNCT
cana-4595	127	14	we	we	PRON
cana-4595	127	15	obtain	obtain	VERB
cana-4595	127	16	a	a	DET
cana-4595	127	17	non	non	ADJ
cana-4595	127	18	-	-	ADJ
cana-4595	127	19	linear	linear	ADJ
cana-4595	127	20	algebraic	algebraic	ADJ
cana-4595	127	21	system	system	NOUN
cana-4595	127	22	:	:	PUNCT
cana-4595	127	23	𝑃(𝛼)𝐶	𝑃(𝛼)𝐶	X
cana-4595	128	1	+	+	CCONJ
cana-4595	128	2	∑	∑	PROPN
cana-4595	128	3	  	  	SPACE
cana-4595	128	4	∞	∞	NUM
cana-4595	128	5	𝑚=0	𝑚=0	PUNCT
cana-4595	128	6	𝑎𝑚𝐷(𝑚)𝐶	𝑎𝑚𝐷(𝑚)𝐶	ADV
cana-4595	128	7	=	=	X
cana-4595	128	8	𝐺	𝐺	NOUN
cana-4595	128	9	where	where	SCONJ
cana-4595	128	10	𝐷(𝑚	𝐷(𝑚	X
cana-4595	128	11	)	)	PUNCT
cana-4595	128	12	represents	represent	VERB
cana-4595	128	13	the	the	DET
cana-4595	128	14	coefficient	coefficient	NOUN
cana-4595	128	15	transformation	transformation	NOUN
cana-4595	128	16	matrix	matrix	NOUN
cana-4595	128	17	for	for	ADP
cana-4595	128	18	the	the	DET
cana-4595	128	19	non	non	ADJ
cana-4595	128	20	-	-	ADJ
cana-4595	128	21	linear	linear	ADJ
cana-4595	128	22	term	term	NOUN
cana-4595	128	23	.	.	PUNCT
cana-4595	129	1	this	this	DET
cana-4595	129	2	system	system	NOUN
cana-4595	129	3	can	can	AUX
cana-4595	129	4	be	be	AUX
cana-4595	129	5	solved	solve	VERB
cana-4595	129	6	iteratively	iteratively	ADV
cana-4595	129	7	using	use	VERB
cana-4595	129	8	newton	newton	PROPN
cana-4595	129	9	's	's	PART
cana-4595	129	10	method	method	NOUN
cana-4595	129	11	or	or	CCONJ
cana-4595	129	12	other	other	ADJ
cana-4595	129	13	numerical	numerical	ADJ
cana-4595	129	14	techniques	technique	NOUN
cana-4595	129	15	.	.	PUNCT
cana-4595	130	1	4.3	4.3	NUM
cana-4595	130	2	error	error	NOUN
cana-4595	130	3	analysis	analysis	NOUN
cana-4595	130	4	and	and	CCONJ
cana-4595	130	5	convergence	convergence	NOUN
cana-4595	130	6	to	to	PART
cana-4595	130	7	ensure	ensure	VERB
cana-4595	130	8	the	the	DET
cana-4595	130	9	validity	validity	NOUN
cana-4595	130	10	of	of	ADP
cana-4595	130	11	our	our	PRON
cana-4595	130	12	method	method	NOUN
cana-4595	130	13	,	,	PUNCT
cana-4595	130	14	we	we	PRON
cana-4595	130	15	analyze	analyze	VERB
cana-4595	130	16	the	the	DET
cana-4595	130	17	theoretical	theoretical	ADJ
cana-4595	130	18	error	error	NOUN
cana-4595	130	19	bounds	bound	NOUN
cana-4595	130	20	.	.	PUNCT
cana-4595	131	1	4.3.1	4.3.1	NUM
cana-4595	131	2	error	error	NOUN
cana-4595	131	3	bound	bind	VERB
cana-4595	131	4	for	for	ADP
cana-4595	131	5	gnocchi	gnocchi	NOUN
cana-4595	131	6	polynomial	polynomial	ADJ
cana-4595	131	7	approximation	approximation	NOUN
cana-4595	131	8	for	for	ADP
cana-4595	131	9	a	a	DET
cana-4595	131	10	function	function	NOUN
cana-4595	131	11	𝑦(𝑥	𝑦(𝑥	NOUN
cana-4595	131	12	)	)	PUNCT
cana-4595	131	13	that	that	PRON
cana-4595	131	14	is	be	AUX
cana-4595	131	15	𝑘-times	𝑘-time	NOUN
cana-4595	131	16	differentiable	differentiable	ADJ
cana-4595	131	17	,	,	PUNCT
cana-4595	131	18	the	the	DET
cana-4595	131	19	error	error	NOUN
cana-4595	131	20	in	in	ADP
cana-4595	131	21	the	the	DET
cana-4595	131	22	gnocchi	gnocchi	NOUN
cana-4595	131	23	polynomial	polynomial	ADJ
cana-4595	131	24	approximation	approximation	NOUN
cana-4595	131	25	satisfies	satisfie	NOUN
cana-4595	131	26	:	:	PUNCT
cana-4595	131	27	‖𝑦(𝑥	‖𝑦(𝑥	X
cana-4595	131	28	)	)	PUNCT
cana-4595	131	29	−	−	PROPN
cana-4595	131	30	𝑦𝑁(𝑥)‖∞	𝑦𝑁(𝑥)‖∞	NOUN
cana-4595	131	31	≤	≤	PUNCT
cana-4595	131	32	𝑀	𝑀	PROPN
cana-4595	131	33	(	(	PUNCT
cana-4595	131	34	𝑁	𝑁	PROPN
cana-4595	131	35	+	+	NOUN
cana-4595	131	36	1)𝑘	1)𝑘	NUM
cana-4595	131	37	where	where	SCONJ
cana-4595	131	38	𝑀	𝑀	PROPN
cana-4595	131	39	is	be	AUX
cana-4595	131	40	a	a	DET
cana-4595	131	41	constant	constant	ADJ
cana-4595	131	42	dependent	dependent	NOUN
cana-4595	131	43	on	on	ADP
cana-4595	131	44	𝑦(𝑥	𝑦(𝑥	NOUN
cana-4595	131	45	)	)	PUNCT
cana-4595	131	46	and	and	CCONJ
cana-4595	131	47	𝑁	𝑁	PROPN
cana-4595	131	48	is	be	AUX
cana-4595	131	49	the	the	DET
cana-4595	131	50	truncation	truncation	NOUN
cana-4595	131	51	order	order	NOUN
cana-4595	131	52	.	.	PUNCT
cana-4595	132	1	this	this	DET
cana-4595	132	2	result	result	NOUN
cana-4595	132	3	guarantees	guarantee	VERB
cana-4595	132	4	superpolynomial	superpolynomial	ADJ
cana-4595	132	5	convergence	convergence	NOUN
cana-4595	132	6	.	.	PUNCT
cana-4595	133	1	4.3.2	4.3.2	NUM
cana-4595	133	2	convergence	convergence	NOUN
cana-4595	133	3	theorem	theorem	NOUN
cana-4595	133	4	and	and	CCONJ
cana-4595	133	5	proof	proof	NOUN
cana-4595	133	6	theorem	theorem	VERB
cana-4595	133	7	1	1	NUM
cana-4595	133	8	(	(	PUNCT
cana-4595	133	9	convergence	convergence	NOUN
cana-4595	133	10	of	of	ADP
cana-4595	133	11	gnocchi	gnocchi	NOUN
cana-4595	133	12	-	-	PUNCT
cana-4595	133	13	based	base	VERB
cana-4595	133	14	operational	operational	ADJ
cana-4595	133	15	matrix	matrix	NOUN
cana-4595	133	16	):	):	PUNCT
cana-4595	133	17	let	let	VERB
cana-4595	133	18	𝑦(𝑥	𝑦(𝑥	X
cana-4595	133	19	)	)	PUNCT
cana-4595	133	20	be	be	AUX
cana-4595	133	21	a	a	DET
cana-4595	133	22	sufficiently	sufficiently	ADV
cana-4595	133	23	smooth	smooth	ADJ
cana-4595	133	24	function	function	NOUN
cana-4595	133	25	,	,	PUNCT
cana-4595	133	26	and	and	CCONJ
cana-4595	133	27	let	let	VERB
cana-4595	133	28	𝑃(𝛼	𝑃(𝛼	VERB
cana-4595	133	29	)	)	PUNCT
cana-4595	133	30	be	be	AUX
cana-4595	133	31	the	the	DET
cana-4595	133	32	corresponding	corresponding	ADJ
cana-4595	133	33	operational	operational	ADJ
cana-4595	133	34	matrix	matrix	NOUN
cana-4595	133	35	.	.	PUNCT
cana-4595	134	1	then	then	ADV
cana-4595	134	2	,	,	PUNCT
cana-4595	134	3	the	the	DET
cana-4595	134	4	approximation	approximation	NOUN
cana-4595	134	5	:	:	PUNCT
cana-4595	134	6	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	NOUN
cana-4595	134	7	)	)	PUNCT
cana-4595	135	1	≈	≈	PROPN
cana-4595	135	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	135	3	)	)	PUNCT
cana-4595	135	4	converges	converge	VERB
cana-4595	135	5	in	in	ADP
cana-4595	135	6	the	the	DET
cana-4595	135	7	𝐿2	𝐿2	NOUN
cana-4595	135	8	-	-	PUNCT
cana-4595	135	9	norm	norm	NOUN
cana-4595	135	10	,	,	PUNCT
cana-4595	135	11	with	with	ADP
cana-4595	135	12	the	the	DET
cana-4595	135	13	error	error	NOUN
cana-4595	135	14	bound	bind	VERB
cana-4595	135	15	:	:	PUNCT
cana-4595	135	16	‖𝐷𝛼𝑦(𝑥	‖𝐷𝛼𝑦(𝑥	NUM
cana-4595	135	17	)	)	PUNCT
cana-4595	135	18	−	−	ADP
cana-4595	135	19	𝑃(𝛼)𝐶𝑇𝐺(𝑥)‖	𝑃(𝛼)𝐶𝑇𝐺(𝑥)‖	ADP
cana-4595	135	20	2	2	NUM
cana-4595	135	21	≤	≤	NUM
cana-4595	135	22	𝒪(𝑒−𝑁	𝒪(𝑒−𝑁	PROPN
cana-4595	135	23	)	)	PUNCT
cana-4595	135	24	.	.	PUNCT
cana-4595	136	1	proof	proof	NOUN
cana-4595	136	2	:	:	PUNCT
cana-4595	136	3	using	use	VERB
cana-4595	136	4	the	the	DET
cana-4595	136	5	orthogonality	orthogonality	NOUN
cana-4595	136	6	property	property	NOUN
cana-4595	136	7	of	of	ADP
cana-4595	136	8	gnocchi	gnocchi	NOUN
cana-4595	136	9	polynomials	polynomial	NOUN
cana-4595	136	10	,	,	PUNCT
cana-4595	136	11	we	we	PRON
cana-4595	136	12	express	express	VERB
cana-4595	136	13	the	the	DET
cana-4595	136	14	residual	residual	ADJ
cana-4595	136	15	error	error	NOUN
cana-4595	136	16	:	:	PUNCT
cana-4595	136	17	𝐸(𝑥	𝐸(𝑥	NOUN
cana-4595	136	18	)	)	PUNCT
cana-4595	136	19	=	=	PUNCT
cana-4595	136	20	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	PROPN
cana-4595	136	21	)	)	PUNCT
cana-4595	136	22	−	−	ADP
cana-4595	136	23	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	136	24	)	)	PUNCT
cana-4595	136	25	taking	take	VERB
cana-4595	136	26	the	the	DET
cana-4595	136	27	𝐿2	𝐿2	NOUN
cana-4595	136	28	-	-	PUNCT
cana-4595	136	29	norm	norm	NOUN
cana-4595	136	30	and	and	CCONJ
cana-4595	136	31	applying	apply	VERB
cana-4595	136	32	spectral	spectral	ADJ
cana-4595	136	33	approximation	approximation	NOUN
cana-4595	136	34	results	result	NOUN
cana-4595	136	35	,	,	PUNCT
cana-4595	136	36	we	we	PRON
cana-4595	136	37	obtain	obtain	VERB
cana-4595	136	38	:	:	PUNCT
cana-4595	136	39	‖𝐸(𝑥)‖2	‖𝐸(𝑥)‖2	NUM
cana-4595	136	40	≤	≤	NUM
cana-4595	136	41	𝒪(𝑒−𝑁	𝒪(𝑒−𝑁	X
cana-4595	136	42	)	)	PUNCT
cana-4595	136	43	communications	communication	NOUN
cana-4595	136	44	on	on	ADP
cana-4595	136	45	applied	apply	VERB
cana-4595	136	46	nonlinear	nonlinear	ADJ
cana-4595	136	47	analysis	analysis	NOUN
cana-4595	136	48	issn	issn	NOUN
cana-4595	136	49	:	:	PUNCT
cana-4595	136	50	1074	1074	NUM
cana-4595	136	51	-	-	PUNCT
cana-4595	136	52	133x	133x	NUM
cana-4595	136	53	vol	vol	NOUN
cana-4595	136	54	32	32	NUM
cana-4595	136	55	no	no	NOUN
cana-4595	136	56	.	.	PUNCT
cana-4595	137	1	9s	9s	NUM
cana-4595	137	2	(	(	PUNCT
cana-4595	137	3	2025	2025	NUM
cana-4595	137	4	)	)	PUNCT
cana-4595	137	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	137	6	2976	2976	NUM
cana-4595	137	7	which	which	PRON
cana-4595	137	8	confirms	confirm	VERB
cana-4595	137	9	exponential	exponential	ADJ
cana-4595	137	10	convergence	convergence	NOUN
cana-4595	137	11	.	.	PUNCT
cana-4595	138	1	4.3.3	4.3.3	ADJ
cana-4595	138	2	stability	stability	NOUN
cana-4595	138	3	of	of	ADP
cana-4595	138	4	the	the	DET
cana-4595	138	5	proposed	propose	VERB
cana-4595	138	6	operational	operational	ADJ
cana-4595	138	7	matrix	matrix	NOUN
cana-4595	138	8	approach	approach	VERB
cana-4595	138	9	the	the	DET
cana-4595	138	10	stability	stability	NOUN
cana-4595	138	11	of	of	ADP
cana-4595	138	12	the	the	DET
cana-4595	138	13	proposed	propose	VERB
cana-4595	138	14	gnocchi	gnocchi	NOUN
cana-4595	138	15	-	-	PUNCT
cana-4595	138	16	based	base	VERB
cana-4595	138	17	operational	operational	ADJ
cana-4595	138	18	matrix	matrix	NOUN
cana-4595	138	19	is	be	AUX
cana-4595	138	20	analyzed	analyze	VERB
cana-4595	138	21	using	use	VERB
cana-4595	138	22	spectral	spectral	ADJ
cana-4595	138	23	condition	condition	NOUN
cana-4595	138	24	numbers	number	NOUN
cana-4595	138	25	.	.	PUNCT
cana-4595	139	1	the	the	DET
cana-4595	139	2	spectral	spectral	ADJ
cana-4595	139	3	radius	radius	NOUN
cana-4595	139	4	𝜌(𝑃(𝛼	𝜌(𝑃(𝛼	NUM
cana-4595	139	5	)	)	PUNCT
cana-4595	139	6	)	)	PUNCT
cana-4595	139	7	satisfies	satisfie	NOUN
cana-4595	139	8	:	:	PUNCT
cana-4595	139	9	𝜌(𝑃(𝛼	𝜌(𝑃(𝛼	NUM
cana-4595	139	10	)	)	PUNCT
cana-4595	139	11	)	)	PUNCT
cana-4595	140	1	<	<	X
cana-4595	140	2	∞	∞	NUM
cana-4595	140	3	implying	implying	ADJ
cana-4595	140	4	numerical	numerical	ADJ
cana-4595	140	5	stability	stability	NOUN
cana-4595	140	6	for	for	ADP
cana-4595	140	7	well	well	ADV
cana-4595	140	8	-	-	PUNCT
cana-4595	140	9	conditioned	condition	VERB
cana-4595	140	10	problems	problem	NOUN
cana-4595	140	11	.	.	PUNCT
cana-4595	141	1	5	5	X
cana-4595	141	2	.	.	X
cana-4595	141	3	comparative	comparative	ADJ
cana-4595	141	4	analysis	analysis	NOUN
cana-4595	141	5	with	with	ADP
cana-4595	141	6	existing	exist	VERB
cana-4595	141	7	theoretical	theoretical	ADJ
cana-4595	141	8	approaches	approach	NOUN
cana-4595	141	9	5.1	5.1	NUM
cana-4595	141	10	mathematical	mathematical	ADJ
cana-4595	141	11	differences	difference	NOUN
cana-4595	141	12	from	from	ADP
cana-4595	141	13	other	other	ADJ
cana-4595	141	14	operational	operational	ADJ
cana-4595	141	15	matrices	matrix	NOUN
cana-4595	141	16	the	the	DET
cana-4595	141	17	construction	construction	NOUN
cana-4595	141	18	of	of	ADP
cana-4595	141	19	operational	operational	ADJ
cana-4595	141	20	matrices	matrix	NOUN
cana-4595	141	21	for	for	ADP
cana-4595	141	22	fractional	fractional	ADJ
cana-4595	141	23	differentiation	differentiation	NOUN
cana-4595	141	24	has	have	AUX
cana-4595	141	25	been	be	AUX
cana-4595	141	26	widely	widely	ADV
cana-4595	141	27	studied	study	VERB
cana-4595	141	28	using	use	VERB
cana-4595	141	29	various	various	ADJ
cana-4595	141	30	polynomial	polynomial	ADJ
cana-4595	141	31	bases	basis	NOUN
cana-4595	141	32	,	,	PUNCT
cana-4595	141	33	including	include	VERB
cana-4595	141	34	legendre	legendre	PROPN
cana-4595	141	35	,	,	PUNCT
cana-4595	141	36	chebyshev	chebyshev	PROPN
cana-4595	141	37	,	,	PUNCT
cana-4595	141	38	and	and	CCONJ
cana-4595	141	39	jacobi	jacobi	PROPN
cana-4595	141	40	polynomials	polynomial	NOUN
cana-4595	141	41	.	.	PUNCT
cana-4595	142	1	however	however	ADV
cana-4595	142	2	,	,	PUNCT
cana-4595	142	3	the	the	DET
cana-4595	142	4	newly	newly	ADV
cana-4595	142	5	developed	develop	VERB
cana-4595	142	6	gnocchi	gnocchi	NOUN
cana-4595	142	7	polynomial	polynomial	ADJ
cana-4595	142	8	-	-	PUNCT
cana-4595	142	9	based	base	VERB
cana-4595	142	10	operational	operational	ADJ
cana-4595	142	11	matrix	matrix	NOUN
cana-4595	142	12	introduces	introduce	VERB
cana-4595	142	13	several	several	ADJ
cana-4595	142	14	key	key	ADJ
cana-4595	142	15	differences	difference	NOUN
cana-4595	142	16	that	that	PRON
cana-4595	142	17	improve	improve	VERB
cana-4595	142	18	computational	computational	ADJ
cana-4595	142	19	efficiency	efficiency	NOUN
cana-4595	142	20	and	and	CCONJ
cana-4595	142	21	numerical	numerical	ADJ
cana-4595	142	22	stability	stability	NOUN
cana-4595	142	23	.	.	PUNCT
cana-4595	143	1	5.1.1	5.1.1	NUM
cana-4595	143	2	comparison	comparison	NOUN
cana-4595	143	3	with	with	ADP
cana-4595	143	4	legendre	legendre	PROPN
cana-4595	143	5	polynomial	polynomial	PROPN
cana-4595	143	6	-	-	PUNCT
cana-4595	143	7	based	base	VERB
cana-4595	143	8	operational	operational	ADJ
cana-4595	143	9	matrices	matrix	NOUN
cana-4595	143	10	legendre	legendre	PROPN
cana-4595	143	11	polynomials	polynomials	PROPN
cana-4595	143	12	𝑃𝑛(𝑥	𝑃𝑛(𝑥	NOUN
cana-4595	143	13	)	)	PUNCT
cana-4595	143	14	are	be	AUX
cana-4595	143	15	widely	widely	ADV
cana-4595	143	16	used	use	VERB
cana-4595	143	17	in	in	ADP
cana-4595	143	18	spectral	spectral	ADJ
cana-4595	143	19	approximations	approximation	NOUN
cana-4595	143	20	due	due	ADP
cana-4595	143	21	to	to	ADP
cana-4595	143	22	their	their	PRON
cana-4595	143	23	orthogonality	orthogonality	NOUN
cana-4595	143	24	on	on	ADP
cana-4595	143	25	the	the	DET
cana-4595	143	26	interval	interval	NOUN
cana-4595	144	1	[	[	X
cana-4595	144	2	−1,1	−1,1	X
cana-4595	144	3	]	]	X
cana-4595	144	4	.	.	PUNCT
cana-4595	145	1	the	the	DET
cana-4595	145	2	operational	operational	ADJ
cana-4595	145	3	matrix	matrix	NOUN
cana-4595	145	4	of	of	ADP
cana-4595	145	5	fractional	fractional	ADJ
cana-4595	145	6	differentiation	differentiation	NOUN
cana-4595	145	7	constructed	construct	VERB
cana-4595	145	8	using	use	VERB
cana-4595	145	9	legendre	legendre	PROPN
cana-4595	145	10	polynomials	polynomial	NOUN
cana-4595	145	11	follows	follow	VERB
cana-4595	145	12	the	the	DET
cana-4595	145	13	form	form	NOUN
cana-4595	145	14	:	:	PUNCT
cana-4595	145	15	𝐷𝛼𝑃𝑛(𝑥	𝐷𝛼𝑃𝑛(𝑥	PROPN
cana-4595	145	16	)	)	PUNCT
cana-4595	146	1	=	=	PUNCT
cana-4595	146	2	∑	∑	PUNCT
cana-4595	146	3	  	  	SPACE
cana-4595	146	4	𝑛	𝑛	PRON
cana-4595	146	5	𝑚=0	𝑚=0	PUNCT
cana-4595	146	6	𝐿𝑛,𝑚	𝐿𝑛,𝑚	NOUN
cana-4595	146	7	(	(	PUNCT
cana-4595	146	8	𝛼	𝛼	NOUN
cana-4595	146	9	)	)	PUNCT
cana-4595	146	10	𝑃𝑚(𝑥	𝑃𝑚(𝑥	NOUN
cana-4595	146	11	)	)	PUNCT
cana-4595	146	12	where	where	SCONJ
cana-4595	146	13	𝐿𝑛,𝑚	𝐿𝑛,𝑚	NOUN
cana-4595	146	14	(	(	PUNCT
cana-4595	146	15	𝛼	𝛼	X
cana-4595	146	16	)	)	PUNCT
cana-4595	146	17	are	be	AUX
cana-4595	146	18	the	the	DET
cana-4595	146	19	transformation	transformation	NOUN
cana-4595	146	20	coefficients	coefficient	NOUN
cana-4595	146	21	.	.	PUNCT
cana-4595	147	1	however	however	ADV
cana-4595	147	2	,	,	PUNCT
cana-4595	147	3	the	the	DET
cana-4595	147	4	legendre	legendre	NOUN
cana-4595	147	5	-	-	PUNCT
cana-4595	147	6	based	base	VERB
cana-4595	147	7	approach	approach	NOUN
cana-4595	147	8	suffers	suffer	VERB
cana-4595	147	9	from	from	ADP
cana-4595	147	10	the	the	DET
cana-4595	147	11	following	following	ADJ
cana-4595	147	12	issues	issue	NOUN
cana-4595	147	13	:	:	PUNCT
cana-4595	147	14	•	•	NUM
cana-4595	147	15	requires	require	VERB
cana-4595	147	16	additional	additional	ADJ
cana-4595	147	17	weighting	weighting	NOUN
cana-4595	147	18	functions	function	NOUN
cana-4595	147	19	to	to	PART
cana-4595	147	20	approximate	approximate	VERB
cana-4595	147	21	fractional	fractional	ADJ
cana-4595	147	22	derivatives	derivative	NOUN
cana-4595	147	23	accurately	accurately	ADV
cana-4595	147	24	.	.	PUNCT
cana-4595	148	1	•	•	ADP
cana-4595	148	2	the	the	DET
cana-4595	148	3	coefficients	coefficient	NOUN
cana-4595	148	4	𝐿𝑛,𝑚	𝐿𝑛,𝑚	NOUN
cana-4595	148	5	(	(	PUNCT
cana-4595	148	6	𝛼	𝛼	X
cana-4595	148	7	)	)	PUNCT
cana-4595	148	8	do	do	AUX
cana-4595	148	9	not	not	PART
cana-4595	148	10	exhibit	exhibit	VERB
cana-4595	148	11	sparsity	sparsity	NOUN
cana-4595	148	12	,	,	PUNCT
cana-4595	148	13	leading	lead	VERB
cana-4595	148	14	to	to	ADP
cana-4595	148	15	higher	high	ADJ
cana-4595	148	16	computational	computational	ADJ
cana-4595	148	17	cost	cost	NOUN
cana-4595	148	18	.	.	PUNCT
cana-4595	149	1	•	•	NOUN
cana-4595	149	2	prone	prone	ADJ
cana-4595	149	3	to	to	ADP
cana-4595	149	4	ill	ill	ADJ
cana-4595	149	5	-	-	PUNCT
cana-4595	149	6	conditioning	conditioning	NOUN
cana-4595	149	7	in	in	ADP
cana-4595	149	8	higher	high	ADJ
cana-4595	149	9	-	-	PUNCT
cana-4595	149	10	order	order	NOUN
cana-4595	149	11	approximations	approximation	NOUN
cana-4595	149	12	.	.	PUNCT
cana-4595	150	1	in	in	ADP
cana-4595	150	2	contrast	contrast	NOUN
cana-4595	150	3	,	,	PUNCT
cana-4595	150	4	the	the	DET
cana-4595	150	5	gnocchi	gnocchi	NOUN
cana-4595	150	6	-	-	PUNCT
cana-4595	150	7	based	base	VERB
cana-4595	150	8	operational	operational	ADJ
cana-4595	150	9	matrix	matrix	NOUN
cana-4595	150	10	offers	offer	VERB
cana-4595	150	11	an	an	DET
cana-4595	150	12	inherently	inherently	ADV
cana-4595	150	13	sparse	sparse	ADJ
cana-4595	150	14	structure	structure	NOUN
cana-4595	150	15	,	,	PUNCT
cana-4595	150	16	reducing	reduce	VERB
cana-4595	150	17	computational	computational	ADJ
cana-4595	150	18	overhead	overhead	NOUN
cana-4595	150	19	and	and	CCONJ
cana-4595	150	20	improving	improve	VERB
cana-4595	150	21	numerical	numerical	ADJ
cana-4595	150	22	efficiency	efficiency	NOUN
cana-4595	150	23	.	.	PUNCT
cana-4595	151	1	5.1.2	5.1.2	NUM
cana-4595	151	2	comparison	comparison	NOUN
cana-4595	151	3	with	with	ADP
cana-4595	151	4	chebyshev	chebyshev	NOUN
cana-4595	151	5	polynomial	polynomial	ADJ
cana-4595	151	6	-	-	PUNCT
cana-4595	151	7	based	base	VERB
cana-4595	151	8	operational	operational	ADJ
cana-4595	151	9	matrices	matrix	NOUN
cana-4595	151	10	chebyshev	chebyshev	NOUN
cana-4595	151	11	polynomials	polynomial	NOUN
cana-4595	151	12	𝑇𝑛(𝑥	𝑇𝑛(𝑥	NOUN
cana-4595	151	13	)	)	PUNCT
cana-4595	151	14	are	be	AUX
cana-4595	151	15	another	another	DET
cana-4595	151	16	popular	popular	ADJ
cana-4595	151	17	choice	choice	NOUN
cana-4595	151	18	due	due	ADP
cana-4595	151	19	to	to	ADP
cana-4595	151	20	their	their	PRON
cana-4595	151	21	minimization	minimization	NOUN
cana-4595	151	22	of	of	ADP
cana-4595	151	23	runge	runge	NOUN
cana-4595	151	24	's	's	PART
cana-4595	151	25	phenomenon	phenomenon	NOUN
cana-4595	151	26	.	.	PUNCT
cana-4595	152	1	the	the	DET
cana-4595	152	2	fractional	fractional	ADJ
cana-4595	152	3	differentiation	differentiation	NOUN
cana-4595	152	4	operational	operational	ADJ
cana-4595	152	5	matrix	matrix	NOUN
cana-4595	152	6	using	use	VERB
cana-4595	152	7	chebyshev	chebyshev	NOUN
cana-4595	152	8	polynomials	polynomial	NOUN
cana-4595	152	9	is	be	AUX
cana-4595	152	10	defined	define	VERB
cana-4595	152	11	as	as	ADP
cana-4595	152	12	:	:	PUNCT
cana-4595	152	13	𝐷𝛼𝑇𝑛(𝑥	𝐷𝛼𝑇𝑛(𝑥	PROPN
cana-4595	152	14	)	)	PUNCT
cana-4595	153	1	=	=	PUNCT
cana-4595	153	2	∑	∑	PUNCT
cana-4595	153	3	  	  	SPACE
cana-4595	153	4	𝑛	𝑛	DET
cana-4595	153	5	𝑚=0	𝑚=0	X
cana-4595	153	6	𝐶𝑛,𝑚	𝐶𝑛,𝑚	PROPN
cana-4595	153	7	(	(	PUNCT
cana-4595	153	8	𝛼	𝛼	NOUN
cana-4595	153	9	)	)	PUNCT
cana-4595	153	10	𝑇𝑚(𝑥	𝑇𝑚(𝑥	NOUN
cana-4595	153	11	)	)	PUNCT
cana-4595	153	12	however	however	ADV
cana-4595	153	13	,	,	PUNCT
cana-4595	153	14	chebyshev	chebyshev	PROPN
cana-4595	153	15	polynomial	polynomial	ADJ
cana-4595	153	16	-	-	PUNCT
cana-4595	153	17	based	base	VERB
cana-4595	153	18	approaches	approach	NOUN
cana-4595	153	19	exhibit	exhibit	VERB
cana-4595	153	20	:	:	PUNCT
cana-4595	153	21	•	•	NUM
cana-4595	153	22	oscillatory	oscillatory	ADJ
cana-4595	153	23	behavior	behavior	NOUN
cana-4595	153	24	near	near	ADP
cana-4595	153	25	the	the	DET
cana-4595	153	26	boundaries	boundary	NOUN
cana-4595	153	27	,	,	PUNCT
cana-4595	153	28	leading	lead	VERB
cana-4595	153	29	to	to	ADP
cana-4595	153	30	accuracy	accuracy	NOUN
cana-4595	153	31	loss	loss	NOUN
cana-4595	153	32	.	.	PUNCT
cana-4595	154	1	•	•	NUM
cana-4595	154	2	poor	poor	ADJ
cana-4595	154	3	performance	performance	NOUN
cana-4595	154	4	in	in	ADP
cana-4595	154	5	approximating	approximate	VERB
cana-4595	154	6	non	non	ADJ
cana-4595	154	7	-	-	ADJ
cana-4595	154	8	smooth	smooth	ADJ
cana-4595	154	9	functions	function	NOUN
cana-4595	154	10	.	.	PUNCT
cana-4595	155	1	•	•	NUM
cana-4595	155	2	high	high	ADJ
cana-4595	155	3	sensitivity	sensitivity	NOUN
cana-4595	155	4	to	to	PART
cana-4595	155	5	round	round	VERB
cana-4595	155	6	-	-	PUNCT
cana-4595	155	7	off	off	ADP
cana-4595	155	8	errors	error	NOUN
cana-4595	155	9	.	.	PUNCT
cana-4595	156	1	the	the	DET
cana-4595	156	2	gnocchi	gnocchi	NOUN
cana-4595	156	3	-	-	PUNCT
cana-4595	156	4	based	base	VERB
cana-4595	156	5	method	method	NOUN
cana-4595	156	6	mitigates	mitigate	VERB
cana-4595	156	7	these	these	DET
cana-4595	156	8	challenges	challenge	NOUN
cana-4595	156	9	by	by	ADP
cana-4595	156	10	ensuring	ensure	VERB
cana-4595	156	11	smooth	smooth	ADJ
cana-4595	156	12	function	function	NOUN
cana-4595	156	13	approximation	approximation	NOUN
cana-4595	156	14	while	while	SCONJ
cana-4595	156	15	maintaining	maintain	VERB
cana-4595	156	16	computational	computational	ADJ
cana-4595	156	17	efficiency	efficiency	NOUN
cana-4595	156	18	.	.	PUNCT
cana-4595	157	1	5.1.3	5.1.3	NUM
cana-4595	157	2	comparison	comparison	NOUN
cana-4595	157	3	with	with	ADP
cana-4595	157	4	jacobi	jacobi	PROPN
cana-4595	157	5	polynomial	polynomial	PROPN
cana-4595	157	6	-	-	PUNCT
cana-4595	157	7	based	base	VERB
cana-4595	157	8	operational	operational	ADJ
cana-4595	157	9	matrices	matrix	NOUN
cana-4595	157	10	jacobi	jacobi	NOUN
cana-4595	157	11	polynomials	polynomials	PROPN
cana-4595	158	1	𝐽𝑛	𝐽𝑛	PROPN
cana-4595	158	2	(	(	PUNCT
cana-4595	158	3	𝑎,𝑏	𝑎,𝑏	NOUN
cana-4595	158	4	)	)	PUNCT
cana-4595	158	5	(	(	PUNCT
cana-4595	158	6	𝑥	𝑥	X
cana-4595	158	7	)	)	PUNCT
cana-4595	158	8	generalize	generalize	VERB
cana-4595	158	9	legendre	legendre	PROPN
cana-4595	158	10	and	and	CCONJ
cana-4595	158	11	chebyshev	chebyshev	NOUN
cana-4595	158	12	polynomials	polynomial	NOUN
cana-4595	158	13	with	with	ADP
cana-4595	158	14	additional	additional	ADJ
cana-4595	158	15	shape	shape	NOUN
cana-4595	158	16	parameters	parameter	NOUN
cana-4595	158	17	(	(	PUNCT
cana-4595	158	18	𝑎	𝑎	X
cana-4595	158	19	,	,	PUNCT
cana-4595	158	20	𝑏	𝑏	NOUN
cana-4595	158	21	)	)	PUNCT
cana-4595	158	22	.	.	PUNCT
cana-4595	159	1	the	the	DET
cana-4595	159	2	fractional	fractional	ADJ
cana-4595	159	3	differentiation	differentiation	NOUN
cana-4595	159	4	matrix	matrix	NOUN
cana-4595	159	5	is	be	AUX
cana-4595	159	6	given	give	VERB
cana-4595	159	7	by	by	ADP
cana-4595	159	8	:	:	PUNCT
cana-4595	159	9	communications	communication	NOUN
cana-4595	159	10	on	on	ADP
cana-4595	159	11	applied	apply	VERB
cana-4595	159	12	nonlinear	nonlinear	ADJ
cana-4595	159	13	analysis	analysis	NOUN
cana-4595	159	14	issn	issn	NOUN
cana-4595	159	15	:	:	PUNCT
cana-4595	159	16	1074	1074	NUM
cana-4595	159	17	-	-	PUNCT
cana-4595	159	18	133x	133x	NUM
cana-4595	159	19	vol	vol	NOUN
cana-4595	159	20	32	32	NUM
cana-4595	159	21	no	no	NOUN
cana-4595	159	22	.	.	PUNCT
cana-4595	160	1	9s	9s	NUM
cana-4595	160	2	(	(	PUNCT
cana-4595	160	3	2025	2025	NUM
cana-4595	160	4	)	)	PUNCT
cana-4595	161	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	161	2	2977	2977	NUM
cana-4595	161	3	𝐷𝛼𝐽𝑛	𝐷𝛼𝐽𝑛	PROPN
cana-4595	161	4	(	(	PUNCT
cana-4595	161	5	𝑎,𝑏	𝑎,𝑏	NOUN
cana-4595	161	6	)	)	PUNCT
cana-4595	161	7	(	(	PUNCT
cana-4595	161	8	𝑥	𝑥	NOUN
cana-4595	161	9	)	)	PUNCT
cana-4595	161	10	=	=	PUNCT
cana-4595	161	11	∑	∑	PUNCT
cana-4595	161	12	  	  	SPACE
cana-4595	161	13	𝑛	𝑛	PRON
cana-4595	161	14	𝑚=0	𝑚=0	PUNCT
cana-4595	161	15	𝐽𝑛,𝑚	𝐽𝑛,𝑚	NOUN
cana-4595	161	16	(	(	PUNCT
cana-4595	161	17	𝛼	𝛼	X
cana-4595	161	18	)	)	PUNCT
cana-4595	161	19	𝐽𝑚	𝐽𝑚	PROPN
cana-4595	161	20	(	(	PUNCT
cana-4595	161	21	𝑎,𝑏	𝑎,𝑏	NOUN
cana-4595	161	22	)	)	PUNCT
cana-4595	161	23	(	(	PUNCT
cana-4595	161	24	𝑥	𝑥	NOUN
cana-4595	161	25	)	)	PUNCT
cana-4595	161	26	despite	despite	SCONJ
cana-4595	161	27	their	their	PRON
cana-4595	161	28	flexibility	flexibility	NOUN
cana-4595	161	29	,	,	PUNCT
cana-4595	161	30	jacobi	jacobi	PROPN
cana-4595	161	31	polynomial	polynomial	PROPN
cana-4595	161	32	-	-	PUNCT
cana-4595	161	33	based	base	VERB
cana-4595	161	34	operational	operational	ADJ
cana-4595	161	35	matrices	matrix	NOUN
cana-4595	161	36	:	:	PUNCT
cana-4595	161	37	•	•	NUM
cana-4595	161	38	require	require	VERB
cana-4595	161	39	tuning	tuning	NOUN
cana-4595	161	40	of	of	ADP
cana-4595	161	41	𝑎	𝑎	NOUN
cana-4595	161	42	,	,	PUNCT
cana-4595	161	43	𝑏	𝑏	DET
cana-4595	161	44	parameters	parameter	NOUN
cana-4595	161	45	for	for	ADP
cana-4595	161	46	optimal	optimal	ADJ
cana-4595	161	47	performance	performance	NOUN
cana-4595	161	48	.	.	PUNCT
cana-4595	162	1	•	•	NUM
cana-4595	162	2	are	be	AUX
cana-4595	162	3	computationally	computationally	ADV
cana-4595	162	4	expensive	expensive	ADJ
cana-4595	162	5	due	due	ADP
cana-4595	162	6	to	to	ADP
cana-4595	162	7	the	the	DET
cana-4595	162	8	added	add	VERB
cana-4595	162	9	complexity	complexity	NOUN
cana-4595	162	10	of	of	ADP
cana-4595	162	11	basis	basis	NOUN
cana-4595	162	12	functions	function	NOUN
cana-4595	162	13	.	.	PUNCT
cana-4595	163	1	•	•	NUM
cana-4595	163	2	exhibit	exhibit	NOUN
cana-4595	163	3	instability	instability	NOUN
cana-4595	163	4	when	when	SCONJ
cana-4595	163	5	fractional	fractional	ADJ
cana-4595	163	6	orders	order	NOUN
cana-4595	163	7	are	be	AUX
cana-4595	163	8	non	non	ADJ
cana-4595	163	9	-	-	ADJ
cana-4595	163	10	uniform	uniform	ADJ
cana-4595	163	11	.	.	PUNCT
cana-4595	164	1	the	the	DET
cana-4595	164	2	gnocchi	gnocchi	NOUN
cana-4595	164	3	-	-	PUNCT
cana-4595	164	4	based	base	VERB
cana-4595	164	5	matrix	matrix	NOUN
cana-4595	164	6	eliminates	eliminate	VERB
cana-4595	164	7	the	the	DET
cana-4595	164	8	need	need	NOUN
cana-4595	164	9	for	for	ADP
cana-4595	164	10	parameter	parameter	NOUN
cana-4595	164	11	tuning	tuning	NOUN
cana-4595	164	12	while	while	SCONJ
cana-4595	164	13	preserving	preserve	VERB
cana-4595	164	14	computational	computational	ADJ
cana-4595	164	15	feasibility	feasibility	NOUN
cana-4595	164	16	and	and	CCONJ
cana-4595	164	17	stability	stability	NOUN
cana-4595	164	18	.	.	PUNCT
cana-4595	165	1	5.2	5.2	NUM
cana-4595	165	2	advantages	advantage	NOUN
cana-4595	165	3	of	of	ADP
cana-4595	165	4	the	the	DET
cana-4595	165	5	new	new	ADJ
cana-4595	165	6	matrix	matrix	NOUN
cana-4595	165	7	the	the	DET
cana-4595	165	8	gnocchi	gnocchi	NOUN
cana-4595	165	9	polynomial	polynomial	ADV
cana-4595	165	10	-	-	PUNCT
cana-4595	165	11	based	base	VERB
cana-4595	165	12	operational	operational	ADJ
cana-4595	165	13	matrix	matrix	NOUN
cana-4595	165	14	introduces	introduce	VERB
cana-4595	165	15	several	several	ADJ
cana-4595	165	16	theoretical	theoretical	ADJ
cana-4595	165	17	advantages	advantage	NOUN
cana-4595	165	18	over	over	ADP
cana-4595	165	19	existing	exist	VERB
cana-4595	165	20	polynomial	polynomial	ADJ
cana-4595	165	21	-	-	PUNCT
cana-4595	165	22	based	base	VERB
cana-4595	165	23	approaches	approach	NOUN
cana-4595	165	24	:	:	PUNCT
cana-4595	165	25	5.2.1	5.2.1	NUM
cana-4595	165	26	better	well	ADJ
cana-4595	165	27	representation	representation	NOUN
cana-4595	165	28	of	of	ADP
cana-4595	165	29	fractional	fractional	ADJ
cana-4595	165	30	operators	operator	NOUN
cana-4595	165	31	unlike	unlike	ADP
cana-4595	165	32	legendre	legendre	PROPN
cana-4595	165	33	and	and	CCONJ
cana-4595	165	34	chebyshev	chebyshev	PROPN
cana-4595	165	35	matrices	matrix	NOUN
cana-4595	165	36	,	,	PUNCT
cana-4595	165	37	which	which	PRON
cana-4595	165	38	require	require	VERB
cana-4595	165	39	additional	additional	ADJ
cana-4595	165	40	weight	weight	NOUN
cana-4595	165	41	functions	function	NOUN
cana-4595	165	42	to	to	PART
cana-4595	165	43	approximate	approximate	VERB
cana-4595	165	44	fractional	fractional	ADJ
cana-4595	165	45	derivatives	derivative	NOUN
cana-4595	165	46	,	,	PUNCT
cana-4595	165	47	the	the	DET
cana-4595	165	48	gnocchi	gnocchi	NOUN
cana-4595	165	49	-	-	PUNCT
cana-4595	165	50	based	base	VERB
cana-4595	165	51	matrix	matrix	NOUN
cana-4595	165	52	directly	directly	ADV
cana-4595	165	53	encodes	encode	VERB
cana-4595	165	54	fractional	fractional	ADJ
cana-4595	165	55	operations	operation	NOUN
cana-4595	165	56	within	within	ADP
cana-4595	165	57	its	its	PRON
cana-4595	165	58	structure	structure	NOUN
cana-4595	165	59	.	.	PUNCT
cana-4595	166	1	this	this	PRON
cana-4595	166	2	ensures	ensure	VERB
cana-4595	166	3	:	:	PUNCT
cana-4595	166	4	•	•	NUM
cana-4595	166	5	higher	high	ADJ
cana-4595	166	6	accuracy	accuracy	NOUN
cana-4595	166	7	in	in	ADP
cana-4595	166	8	fractional	fractional	ADJ
cana-4595	166	9	derivative	derivative	ADJ
cana-4595	166	10	approximations	approximation	NOUN
cana-4595	166	11	.	.	PUNCT
cana-4595	167	1	•	•	NUM
cana-4595	167	2	improved	improve	VERB
cana-4595	167	3	adaptability	adaptability	NOUN
cana-4595	167	4	to	to	ADP
cana-4595	167	5	non	non	ADJ
cana-4595	167	6	-	-	ADJ
cana-4595	167	7	linear	linear	ADJ
cana-4595	167	8	differential	differential	ADJ
cana-4595	167	9	equations	equation	NOUN
cana-4595	167	10	.	.	PUNCT
cana-4595	168	1	5.2.2	5.2.2	NUM
cana-4595	168	2	improved	improve	VERB
cana-4595	168	3	sparsity	sparsity	NOUN
cana-4595	168	4	and	and	CCONJ
cana-4595	168	5	computational	computational	ADJ
cana-4595	168	6	feasibility	feasibility	NOUN
cana-4595	168	7	the	the	DET
cana-4595	168	8	operational	operational	ADJ
cana-4595	168	9	matrix	matrix	NOUN
cana-4595	168	10	𝑃(𝛼	𝑃(𝛼	VERB
cana-4595	168	11	)	)	PUNCT
cana-4595	168	12	derived	derive	VERB
cana-4595	168	13	using	use	VERB
cana-4595	168	14	gnocchi	gnocchi	NOUN
cana-4595	168	15	polynomials	polynomial	NOUN
cana-4595	168	16	exhibits	exhibit	VERB
cana-4595	168	17	a	a	DET
cana-4595	168	18	sparse	sparse	ADJ
cana-4595	168	19	banded	band	VERB
cana-4595	168	20	structure	structure	NOUN
cana-4595	168	21	,	,	PUNCT
cana-4595	168	22	reducing	reduce	VERB
cana-4595	168	23	computational	computational	ADJ
cana-4595	168	24	complexity	complexity	NOUN
cana-4595	168	25	:	:	PUNCT
cana-4595	168	26	𝑃(𝛼	𝑃(𝛼	X
cana-4595	168	27	)	)	PUNCT
cana-4595	168	28	=	=	SYM
cana-4595	168	29	[	[	PUNCT
cana-4595	168	30	𝑝0,0	𝑝0,0	NOUN
cana-4595	168	31	(	(	PUNCT
cana-4595	168	32	𝛼	𝛼	NOUN
cana-4595	168	33	)	)	PUNCT
cana-4595	168	34	𝑝0,1	𝑝0,1	NOUN
cana-4595	168	35	(	(	PUNCT
cana-4595	168	36	𝛼	𝛼	NOUN
cana-4595	168	37	)	)	PUNCT
cana-4595	168	38	0	0	NUM
cana-4595	168	39	0	0	NUM
cana-4595	169	1	…	…	PUNCT
cana-4595	169	2	𝑝1,0	𝑝1,0	PROPN
cana-4595	169	3	(	(	PUNCT
cana-4595	169	4	𝛼	𝛼	NOUN
cana-4595	169	5	)	)	PUNCT
cana-4595	169	6	𝑝1,1	𝑝1,1	NOUN
cana-4595	169	7	(	(	PUNCT
cana-4595	169	8	𝛼	𝛼	NOUN
cana-4595	169	9	)	)	PUNCT
cana-4595	169	10	𝑝1,2	𝑝1,2	NOUN
cana-4595	169	11	(	(	PUNCT
cana-4595	169	12	𝛼	𝛼	NOUN
cana-4595	169	13	)	)	PUNCT
cana-4595	169	14	0	0	NUM
cana-4595	169	15	…	…	SYM
cana-4595	169	16	0	0	NUM
cana-4595	169	17	𝑝2,1	𝑝2,1	PROPN
cana-4595	169	18	(	(	PUNCT
cana-4595	169	19	𝛼	𝛼	NOUN
cana-4595	169	20	)	)	PUNCT
cana-4595	169	21	𝑝2,2	𝑝2,2	PROPN
cana-4595	169	22	(	(	PUNCT
cana-4595	169	23	𝛼	𝛼	NOUN
cana-4595	169	24	)	)	PUNCT
cana-4595	169	25	𝑝2,3	𝑝2,3	NOUN
cana-4595	169	26	(	(	PUNCT
cana-4595	169	27	𝛼	𝛼	NOUN
cana-4595	169	28	)	)	PUNCT
cana-4595	169	29	…	…	PUNCT
cana-4595	169	30	⋮	⋮	NOUN
cana-4595	169	31	⋮	⋮	ADJ
cana-4595	169	32	⋮	⋮	ADJ
cana-4595	169	33	⋮	⋮	PROPN
cana-4595	169	34	⋱	⋱	X
cana-4595	169	35	]	]	PUNCT
cana-4595	169	36	this	this	DET
cana-4595	169	37	sparsity	sparsity	NOUN
cana-4595	169	38	reduces	reduce	VERB
cana-4595	169	39	matrix	matrix	NOUN
cana-4595	169	40	-	-	PUNCT
cana-4595	169	41	vector	vector	NOUN
cana-4595	169	42	multiplication	multiplication	NOUN
cana-4595	169	43	costs	cost	NOUN
cana-4595	169	44	from	from	ADP
cana-4595	169	45	𝒪(𝑛2	𝒪(𝑛2	PROPN
cana-4595	169	46	)	)	PUNCT
cana-4595	169	47	to	to	ADP
cana-4595	169	48	𝒪(𝑛	𝒪(𝑛	NOUN
cana-4595	169	49	)	)	PUNCT
cana-4595	169	50	,	,	PUNCT
cana-4595	169	51	significantly	significantly	ADV
cana-4595	169	52	enhancing	enhance	VERB
cana-4595	169	53	computational	computational	ADJ
cana-4595	169	54	efficiency	efficiency	NOUN
cana-4595	169	55	.	.	PUNCT
cana-4595	170	1	5.2.3	5.2.3	NUM
cana-4595	170	2	theoretical	theoretical	ADJ
cana-4595	170	3	advantages	advantage	NOUN
cana-4595	170	4	over	over	ADP
cana-4595	170	5	existing	exist	VERB
cana-4595	170	6	techniques	technique	NOUN
cana-4595	170	7	key	key	ADJ
cana-4595	170	8	theoretical	theoretical	ADJ
cana-4595	170	9	benefits	benefit	NOUN
cana-4595	170	10	of	of	ADP
cana-4595	170	11	the	the	DET
cana-4595	170	12	gnocchi	gnocchi	NOUN
cana-4595	170	13	polynomial	polynomial	ADJ
cana-4595	170	14	-	-	PUNCT
cana-4595	170	15	based	base	VERB
cana-4595	170	16	operational	operational	ADJ
cana-4595	170	17	matrix	matrix	NOUN
cana-4595	170	18	include	include	VERB
cana-4595	170	19	:	:	PUNCT
cana-4595	170	20	•	•	NUM
cana-4595	170	21	exponential	exponential	ADJ
cana-4595	170	22	convergence	convergence	NOUN
cana-4595	170	23	in	in	ADP
cana-4595	170	24	function	function	NOUN
cana-4595	170	25	approximation	approximation	NOUN
cana-4595	170	26	.	.	PUNCT
cana-4595	171	1	•	•	NUM
cana-4595	171	2	reduced	reduce	VERB
cana-4595	171	3	error	error	NOUN
cana-4595	171	4	propagation	propagation	NOUN
cana-4595	171	5	due	due	ADP
cana-4595	171	6	to	to	ADP
cana-4595	171	7	well	well	ADV
cana-4595	171	8	-	-	PUNCT
cana-4595	171	9	conditioned	condition	VERB
cana-4595	171	10	basis	basis	NOUN
cana-4595	171	11	functions	function	NOUN
cana-4595	171	12	.	.	PUNCT
cana-4595	172	1	•	•	NUM
cana-4595	172	2	robustness	robustness	NOUN
cana-4595	172	3	in	in	ADP
cana-4595	172	4	handling	handle	VERB
cana-4595	172	5	non	non	ADJ
cana-4595	172	6	-	-	ADJ
cana-4595	172	7	linear	linear	ADJ
cana-4595	172	8	terms	term	NOUN
cana-4595	172	9	without	without	ADP
cana-4595	172	10	additional	additional	ADJ
cana-4595	172	11	transformations	transformation	NOUN
cana-4595	172	12	.	.	PUNCT
cana-4595	173	1	these	these	DET
cana-4595	173	2	advantages	advantage	NOUN
cana-4595	173	3	make	make	VERB
cana-4595	173	4	it	it	PRON
cana-4595	173	5	an	an	DET
cana-4595	173	6	optimal	optimal	ADJ
cana-4595	173	7	choice	choice	NOUN
cana-4595	173	8	for	for	ADP
cana-4595	173	9	solving	solve	VERB
cana-4595	173	10	non	non	ADJ
cana-4595	173	11	-	-	ADJ
cana-4595	173	12	linear	linear	ADJ
cana-4595	173	13	fractional	fractional	ADJ
cana-4595	173	14	differential	differential	NOUN
cana-4595	173	15	equations	equation	NOUN
cana-4595	173	16	.	.	PUNCT
cana-4595	174	1	5.3	5.3	NUM
cana-4595	174	2	limitations	limitation	NOUN
cana-4595	174	3	and	and	CCONJ
cana-4595	174	4	challenges	challenge	VERB
cana-4595	174	5	the	the	DET
cana-4595	174	6	proposed	propose	VERB
cana-4595	174	7	gnocchi	gnocchi	NOUN
cana-4595	174	8	polynomial	polynomial	PROPN
cana-4595	174	9	based	base	VERB
cana-4595	174	10	operational	operational	ADJ
cana-4595	174	11	matrix	matrix	NOUN
cana-4595	174	12	has	have	VERB
cana-4595	174	13	some	some	DET
cana-4595	174	14	limitations	limitation	NOUN
cana-4595	174	15	which	which	PRON
cana-4595	174	16	must	must	AUX
cana-4595	174	17	be	be	AUX
cana-4595	174	18	recognized	recognize	VERB
cana-4595	174	19	.	.	PUNCT
cana-4595	175	1	the	the	DET
cana-4595	175	2	most	most	ADV
cana-4595	175	3	important	important	ADJ
cana-4595	175	4	challenge	challenge	NOUN
cana-4595	175	5	is	be	AUX
cana-4595	175	6	in	in	ADP
cana-4595	175	7	the	the	DET
cana-4595	175	8	case	case	NOUN
cana-4595	175	9	of	of	ADP
cana-4595	175	10	highly	highly	ADV
cana-4595	175	11	oscillatory	oscillatory	ADJ
cana-4595	175	12	functions	function	NOUN
cana-4595	175	13	,	,	PUNCT
cana-4595	175	14	since	since	SCONJ
cana-4595	175	15	rapid	rapid	ADJ
cana-4595	175	16	oscillations	oscillation	NOUN
cana-4595	175	17	of	of	ADP
cana-4595	175	18	the	the	DET
cana-4595	175	19	solution	solution	NOUN
cana-4595	175	20	require	require	VERB
cana-4595	175	21	high	high	ADJ
cana-4595	175	22	order	order	NOUN
cana-4595	175	23	approximations	approximation	NOUN
cana-4595	175	24	that	that	PRON
cana-4595	175	25	result	result	VERB
cana-4595	175	26	in	in	ADP
cana-4595	175	27	very	very	ADV
cana-4595	175	28	high	high	ADJ
cana-4595	175	29	computational	computational	ADJ
cana-4595	175	30	effort	effort	NOUN
cana-4595	175	31	.	.	PUNCT
cana-4595	176	1	the	the	DET
cana-4595	176	2	method	method	NOUN
cana-4595	176	3	also	also	ADV
cana-4595	176	4	assumes	assume	VERB
cana-4595	176	5	smooth	smooth	ADJ
cana-4595	176	6	solutions	solution	NOUN
cana-4595	176	7	,	,	PUNCT
cana-4595	176	8	which	which	PRON
cana-4595	176	9	means	mean	VERB
cana-4595	176	10	that	that	SCONJ
cana-4595	176	11	it	it	PRON
cana-4595	176	12	is	be	AUX
cana-4595	176	13	not	not	PART
cana-4595	176	14	very	very	ADV
cana-4595	176	15	efficient	efficient	ADJ
cana-4595	176	16	when	when	SCONJ
cana-4595	176	17	it	it	PRON
cana-4595	176	18	comes	come	VERB
cana-4595	176	19	to	to	ADP
cana-4595	176	20	solving	solve	VERB
cana-4595	176	21	singular	singular	ADJ
cana-4595	176	22	solutions	solution	NOUN
cana-4595	176	23	,	,	PUNCT
cana-4595	176	24	i.e.	i.e.	X
cana-4595	176	25	solutions	solution	NOUN
cana-4595	176	26	with	with	ADP
cana-4595	176	27	discontinuities	discontinuity	NOUN
cana-4595	176	28	or	or	CCONJ
cana-4595	176	29	non	non	ADJ
cana-4595	176	30	-	-	ADJ
cana-4595	176	31	smooth	smooth	ADJ
cana-4595	176	32	behavior	behavior	NOUN
cana-4595	176	33	.	.	PUNCT
cana-4595	177	1	two	two	NUM
cana-4595	177	2	problems	problem	NOUN
cana-4595	177	3	,	,	PUNCT
cana-4595	177	4	i.e.	i.e.	X
cana-4595	177	5	,	,	PUNCT
cana-4595	177	6	boundary	boundary	ADJ
cana-4595	177	7	layer	layer	NOUN
cana-4595	177	8	problem	problem	NOUN
cana-4595	177	9	in	in	ADP
cana-4595	177	10	fractional	fractional	ADJ
cana-4595	177	11	partial	partial	ADJ
cana-4595	177	12	differential	differential	NOUN
cana-4595	177	13	equations	equation	NOUN
cana-4595	177	14	(	(	PUNCT
cana-4595	177	15	pdes	pde	NOUN
cana-4595	177	16	)	)	PUNCT
cana-4595	177	17	that	that	PRON
cana-4595	177	18	have	have	VERB
cana-4595	177	19	steep	steep	ADJ
cana-4595	177	20	gradient	gradient	NOUN
cana-4595	177	21	near	near	ADP
cana-4595	177	22	boundary	boundary	NOUN
cana-4595	177	23	,	,	PUNCT
cana-4595	177	24	have	have	VERB
cana-4595	177	25	limitations	limitation	NOUN
cana-4595	177	26	.	.	PUNCT
cana-4595	178	1	in	in	ADP
cana-4595	178	2	such	such	ADJ
cana-4595	178	3	cases	case	NOUN
cana-4595	178	4	,	,	PUNCT
cana-4595	178	5	a	a	DET
cana-4595	178	6	standard	standard	ADJ
cana-4595	178	7	representation	representation	NOUN
cana-4595	178	8	based	base	VERB
cana-4595	178	9	on	on	ADP
cana-4595	178	10	gnocchi	gnocchi	NOUN
cana-4595	178	11	may	may	AUX
cana-4595	178	12	need	need	VERB
cana-4595	178	13	adaptive	adaptive	ADJ
cana-4595	178	14	basis	basis	NOUN
cana-4595	178	15	functions	function	NOUN
cana-4595	178	16	to	to	PART
cana-4595	178	17	keep	keep	VERB
cana-4595	178	18	accuracy	accuracy	NOUN
cana-4595	178	19	and	and	CCONJ
cana-4595	178	20	efficiency	efficiency	NOUN
cana-4595	178	21	.	.	PUNCT
cana-4595	179	1	some	some	PRON
cana-4595	179	2	of	of	ADP
cana-4595	179	3	the	the	DET
cana-4595	179	4	things	thing	NOUN
cana-4595	179	5	future	future	ADJ
cana-4595	179	6	research	research	NOUN
cana-4595	179	7	should	should	AUX
cana-4595	179	8	focus	focus	VERB
cana-4595	179	9	on	on	ADP
cana-4595	179	10	to	to	PART
cana-4595	179	11	overcome	overcome	VERB
cana-4595	179	12	these	these	DET
cana-4595	179	13	challenges	challenge	NOUN
cana-4595	179	14	are	be	AUX
cana-4595	179	15	as	as	SCONJ
cana-4595	179	16	follows	follow	VERB
cana-4595	179	17	.	.	PUNCT
cana-4595	180	1	this	this	PRON
cana-4595	180	2	leads	lead	VERB
cana-4595	180	3	to	to	ADP
cana-4595	180	4	the	the	DET
cana-4595	180	5	development	development	NOUN
cana-4595	180	6	of	of	ADP
cana-4595	180	7	adaptive	adaptive	ADJ
cana-4595	180	8	gnocchi	gnocchi	NOUN
cana-4595	180	9	polynomial	polynomial	ADJ
cana-4595	180	10	methods	method	NOUN
cana-4595	180	11	,	,	PUNCT
cana-4595	180	12	as	as	SCONJ
cana-4595	180	13	one	one	NUM
cana-4595	180	14	promising	promising	ADJ
cana-4595	180	15	direction	direction	NOUN
cana-4595	180	16	for	for	ADP
cana-4595	180	17	communications	communication	NOUN
cana-4595	180	18	on	on	ADP
cana-4595	180	19	applied	apply	VERB
cana-4595	180	20	nonlinear	nonlinear	ADJ
cana-4595	180	21	analysis	analysis	NOUN
cana-4595	180	22	issn	issn	NOUN
cana-4595	180	23	:	:	PUNCT
cana-4595	180	24	1074	1074	NUM
cana-4595	180	25	-	-	PUNCT
cana-4595	180	26	133x	133x	NUM
cana-4595	180	27	vol	vol	NOUN
cana-4595	180	28	32	32	NUM
cana-4595	181	1	no	no	NOUN
cana-4595	181	2	.	.	PUNCT
cana-4595	182	1	9s	9s	NUM
cana-4595	182	2	(	(	PUNCT
cana-4595	182	3	2025	2025	NUM
cana-4595	182	4	)	)	PUNCT
cana-4595	183	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	183	2	2978	2978	NUM
cana-4595	183	3	basis	basis	NOUN
cana-4595	183	4	selection	selection	NOUN
cana-4595	183	5	dynamically	dynamically	ADV
cana-4595	183	6	and	and	CCONJ
cana-4595	183	7	thereby	thereby	ADV
cana-4595	183	8	improve	improve	VERB
cana-4595	183	9	singularities	singularity	NOUN
cana-4595	183	10	as	as	ADV
cana-4595	183	11	well	well	ADV
cana-4595	183	12	as	as	ADP
cana-4595	183	13	boundary	boundary	ADJ
cana-4595	183	14	-	-	PUNCT
cana-4595	183	15	layer	layer	NOUN
cana-4595	183	16	handling	handling	NOUN
cana-4595	183	17	.	.	PUNCT
cana-4595	184	1	this	this	DET
cana-4595	184	2	approach	approach	NOUN
cana-4595	184	3	can	can	AUX
cana-4595	184	4	be	be	AUX
cana-4595	184	5	extended	extend	VERB
cana-4595	184	6	to	to	ADP
cana-4595	184	7	higher	high	ADJ
cana-4595	184	8	dimensional	dimensional	ADJ
cana-4595	184	9	fractional	fractional	ADJ
cana-4595	184	10	pdes	pde	NOUN
cana-4595	184	11	,	,	PUNCT
cana-4595	184	12	and	and	CCONJ
cana-4595	184	13	hence	hence	ADV
cana-4595	184	14	the	the	DET
cana-4595	184	15	applicability	applicability	NOUN
cana-4595	184	16	of	of	ADP
cana-4595	184	17	this	this	DET
cana-4595	184	18	approach	approach	NOUN
cana-4595	184	19	can	can	AUX
cana-4595	184	20	be	be	AUX
cana-4595	184	21	extended	extend	VERB
cana-4595	184	22	to	to	ADP
cana-4595	184	23	complex	complex	ADJ
cana-4595	184	24	multi	multi	ADJ
cana-4595	184	25	-	-	ADJ
cana-4595	184	26	dimensional	dimensional	ADJ
cana-4595	184	27	systems	system	NOUN
cana-4595	184	28	.	.	PUNCT
cana-4595	185	1	additionally	additionally	ADV
cana-4595	185	2	,	,	PUNCT
cana-4595	185	3	it	it	PRON
cana-4595	185	4	would	would	AUX
cana-4595	185	5	be	be	AUX
cana-4595	185	6	advantageous	advantageous	ADJ
cana-4595	185	7	to	to	PART
cana-4595	185	8	develop	develop	VERB
cana-4595	185	9	hybrid	hybrid	ADJ
cana-4595	185	10	techniques	technique	NOUN
cana-4595	185	11	by	by	ADP
cana-4595	185	12	combining	combine	VERB
cana-4595	185	13	gnocchi	gnocchi	NOUN
cana-4595	185	14	based	base	VERB
cana-4595	185	15	matrices	matrix	NOUN
cana-4595	185	16	with	with	ADP
cana-4595	185	17	a	a	DET
cana-4595	185	18	combination	combination	NOUN
cana-4595	185	19	of	of	ADP
cana-4595	185	20	deep	deep	ADJ
cana-4595	185	21	learning	learning	NOUN
cana-4595	185	22	models	model	NOUN
cana-4595	185	23	to	to	PART
cana-4595	185	24	improve	improve	VERB
cana-4595	185	25	the	the	DET
cana-4595	185	26	precision	precision	NOUN
cana-4595	185	27	and	and	CCONJ
cana-4595	185	28	computational	computational	ADJ
cana-4595	185	29	complexity	complexity	NOUN
cana-4595	185	30	of	of	ADP
cana-4595	185	31	the	the	DET
cana-4595	185	32	proposed	propose	VERB
cana-4595	185	33	procedure	procedure	NOUN
cana-4595	185	34	for	for	ADP
cana-4595	185	35	problems	problem	NOUN
cana-4595	185	36	that	that	PRON
cana-4595	185	37	are	be	AUX
cana-4595	185	38	highly	highly	ADV
cana-4595	185	39	non	non	ADJ
cana-4595	185	40	-	-	ADJ
cana-4595	185	41	linear	linear	ADJ
cana-4595	185	42	and	and	CCONJ
cana-4595	185	43	data	datum	NOUN
cana-4595	185	44	driven	drive	VERB
cana-4595	185	45	.	.	PUNCT
cana-4595	186	1	the	the	DET
cana-4595	186	2	possible	possible	ADJ
cana-4595	186	3	directions	direction	NOUN
cana-4595	186	4	of	of	ADP
cana-4595	186	5	research	research	NOUN
cana-4595	186	6	mentioned	mention	VERB
cana-4595	186	7	above	above	ADP
cana-4595	186	8	themselves	themselves	PRON
cana-4595	186	9	provide	provide	VERB
cana-4595	186	10	promising	promising	ADJ
cana-4595	186	11	possibilities	possibility	NOUN
cana-4595	186	12	for	for	ADP
cana-4595	186	13	further	further	ADJ
cana-4595	186	14	refining	refining	NOUN
cana-4595	186	15	and	and	CCONJ
cana-4595	186	16	enlarging	enlarge	VERB
cana-4595	186	17	the	the	DET
cana-4595	186	18	capabilities	capability	NOUN
cana-4595	186	19	of	of	ADP
cana-4595	186	20	the	the	DET
cana-4595	186	21	introduced	introduce	VERB
cana-4595	186	22	framework	framework	NOUN
cana-4595	186	23	in	in	ADP
cana-4595	186	24	solving	solve	VERB
cana-4595	186	25	the	the	DET
cana-4595	186	26	nonlinear	nonlinear	ADJ
cana-4595	186	27	fractional	fractional	ADJ
cana-4595	186	28	differential	differential	NOUN
cana-4595	186	29	equations	equation	NOUN
cana-4595	186	30	.	.	PUNCT
cana-4595	187	1	6	6	NUM
cana-4595	187	2	.	.	X
cana-4595	187	3	numerical	numerical	PROPN
cana-4595	187	4	validation	validation	NOUN
cana-4595	187	5	and	and	CCONJ
cana-4595	187	6	conclusion	conclusion	NOUN
cana-4595	187	7	6.1	6.1	NUM
cana-4595	187	8	numerical	numerical	ADJ
cana-4595	187	9	validation	validation	NOUN
cana-4595	187	10	to	to	PART
cana-4595	187	11	validate	validate	VERB
cana-4595	187	12	the	the	DET
cana-4595	187	13	proposed	propose	VERB
cana-4595	187	14	gnocchi	gnocchi	NOUN
cana-4595	187	15	polynomial	polynomial	ADJ
cana-4595	187	16	-	-	PUNCT
cana-4595	187	17	based	base	VERB
cana-4595	187	18	operational	operational	ADJ
cana-4595	187	19	matrix	matrix	NOUN
cana-4595	187	20	,	,	PUNCT
cana-4595	187	21	we	we	PRON
cana-4595	187	22	apply	apply	VERB
cana-4595	187	23	it	it	PRON
cana-4595	187	24	to	to	ADP
cana-4595	187	25	a	a	DET
cana-4595	187	26	benchmark	benchmark	NOUN
cana-4595	187	27	function	function	NOUN
cana-4595	187	28	and	and	CCONJ
cana-4595	187	29	analyze	analyze	VERB
cana-4595	187	30	its	its	PRON
cana-4595	187	31	accuracy	accuracy	NOUN
cana-4595	187	32	.	.	PUNCT
cana-4595	188	1	consider	consider	VERB
cana-4595	188	2	the	the	DET
cana-4595	188	3	function	function	NOUN
cana-4595	188	4	:	:	PUNCT
cana-4595	188	5	𝑦(𝑥	𝑦(𝑥	NUM
cana-4595	188	6	)	)	PUNCT
cana-4595	189	1	=	=	SYM
cana-4595	189	2	𝑒−𝑥	𝑒−𝑥	NOUN
cana-4595	189	3	which	which	PRON
cana-4595	189	4	is	be	AUX
cana-4595	189	5	commonly	commonly	ADV
cana-4595	189	6	used	use	VERB
cana-4595	189	7	in	in	ADP
cana-4595	189	8	fractional	fractional	ADJ
cana-4595	189	9	differential	differential	ADJ
cana-4595	189	10	equation	equation	NOUN
cana-4595	189	11	approximations	approximation	NOUN
cana-4595	189	12	due	due	ADP
cana-4595	189	13	to	to	ADP
cana-4595	189	14	its	its	PRON
cana-4595	189	15	smooth	smooth	ADJ
cana-4595	189	16	nature	nature	NOUN
cana-4595	189	17	.	.	PUNCT
cana-4595	190	1	the	the	DET
cana-4595	190	2	fractional	fractional	ADJ
cana-4595	190	3	derivative	derivative	NOUN
cana-4595	190	4	of	of	ADP
cana-4595	190	5	𝑦(𝑥	𝑦(𝑥	NOUN
cana-4595	190	6	)	)	PUNCT
cana-4595	190	7	using	use	VERB
cana-4595	190	8	the	the	DET
cana-4595	190	9	gnocchi	gnocchi	NOUN
cana-4595	190	10	polynomial	polynomial	ADJ
cana-4595	190	11	expansion	expansion	NOUN
cana-4595	190	12	is	be	AUX
cana-4595	190	13	approximated	approximate	VERB
cana-4595	190	14	as	as	ADP
cana-4595	190	15	:	:	PUNCT
cana-4595	190	16	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	NOUN
cana-4595	190	17	)	)	PUNCT
cana-4595	191	1	≈	≈	PROPN
cana-4595	191	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	191	3	)	)	PUNCT
cana-4595	191	4	where	where	SCONJ
cana-4595	191	5	:	:	PUNCT
cana-4595	191	6	•	•	NUM
cana-4595	191	7	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	191	8	)	)	PUNCT
cana-4595	191	9	is	be	AUX
cana-4595	191	10	the	the	DET
cana-4595	191	11	fractional	fractional	ADJ
cana-4595	191	12	differentiation	differentiation	NOUN
cana-4595	191	13	matrix	matrix	NOUN
cana-4595	191	14	derived	derive	VERB
cana-4595	191	15	using	use	VERB
cana-4595	191	16	gnocchi	gnocchi	NOUN
cana-4595	191	17	polynomials	polynomial	NOUN
cana-4595	191	18	.	.	PUNCT
cana-4595	192	1	•	•	NUM
cana-4595	192	2	𝐶	𝐶	PROPN
cana-4595	192	3	is	be	AUX
cana-4595	192	4	the	the	DET
cana-4595	192	5	coefficient	coefficient	NOUN
cana-4595	192	6	vector	vector	NOUN
cana-4595	192	7	in	in	ADP
cana-4595	192	8	the	the	DET
cana-4595	192	9	polynomial	polynomial	ADJ
cana-4595	192	10	expansion	expansion	NOUN
cana-4595	192	11	.	.	PUNCT
cana-4595	193	1	•	•	NUM
cana-4595	193	2	𝐺(𝑥	𝐺(𝑥	NOUN
cana-4595	193	3	)	)	PUNCT
cana-4595	193	4	represents	represent	VERB
cana-4595	193	5	the	the	DET
cana-4595	193	6	basis	basis	NOUN
cana-4595	193	7	expansion	expansion	NOUN
cana-4595	193	8	using	use	VERB
cana-4595	193	9	gnocchi	gnocchi	NOUN
cana-4595	193	10	polynomials	polynomial	NOUN
cana-4595	193	11	.	.	PUNCT
cana-4595	194	1	6.1.1	6.1.1	NUM
cana-4595	194	2	error	error	NOUN
cana-4595	194	3	analysis	analysis	NOUN
cana-4595	194	4	and	and	CCONJ
cana-4595	194	5	convergence	convergence	NOUN
cana-4595	194	6	to	to	PART
cana-4595	194	7	assess	assess	VERB
cana-4595	194	8	the	the	DET
cana-4595	194	9	accuracy	accuracy	NOUN
cana-4595	194	10	of	of	ADP
cana-4595	194	11	the	the	DET
cana-4595	194	12	proposed	propose	VERB
cana-4595	194	13	method	method	NOUN
cana-4595	194	14	,	,	PUNCT
cana-4595	194	15	we	we	PRON
cana-4595	194	16	compute	compute	VERB
cana-4595	194	17	the	the	DET
cana-4595	194	18	approximation	approximation	NOUN
cana-4595	194	19	error	error	NOUN
cana-4595	194	20	:	:	PUNCT
cana-4595	194	21	𝐸(𝑥	𝐸(𝑥	NOUN
cana-4595	194	22	)	)	PUNCT
cana-4595	194	23	=	=	PUNCT
cana-4595	194	24	|𝑦exact	|𝑦exact	ADJ
cana-4595	194	25	(	(	PUNCT
cana-4595	194	26	𝑥	𝑥	NOUN
cana-4595	194	27	)	)	PUNCT
cana-4595	194	28	−	−	PROPN
cana-4595	195	1	𝑦approx	𝑦approx	NOUN
cana-4595	195	2	(	(	PUNCT
cana-4595	195	3	𝑥)|	𝑥)|	ADP
cana-4595	195	4	the	the	DET
cana-4595	195	5	results	result	NOUN
cana-4595	195	6	indicate	indicate	VERB
cana-4595	195	7	exponential	exponential	ADJ
cana-4595	195	8	convergence	convergence	NOUN
cana-4595	195	9	as	as	ADP
cana-4595	195	10	the	the	DET
cana-4595	195	11	polynomial	polynomial	ADJ
cana-4595	195	12	order	order	NOUN
cana-4595	195	13	increases	increase	NOUN
cana-4595	195	14	,	,	PUNCT
cana-4595	195	15	confirming	confirm	VERB
cana-4595	195	16	the	the	DET
cana-4595	195	17	efficiency	efficiency	NOUN
cana-4595	195	18	of	of	ADP
cana-4595	195	19	the	the	DET
cana-4595	195	20	gnocchi	gnocchi	NOUN
cana-4595	195	21	polynomial	polynomial	ADJ
cana-4595	195	22	-	-	PUNCT
cana-4595	195	23	based	base	VERB
cana-4595	195	24	approach	approach	NOUN
cana-4595	195	25	.	.	PUNCT
cana-4595	196	1	the	the	DET
cana-4595	196	2	error	error	NOUN
cana-4595	196	3	plot	plot	NOUN
cana-4595	196	4	in	in	ADP
cana-4595	196	5	figure	figure	NOUN
cana-4595	196	6	1	1	NUM
cana-4595	196	7	visualizes	visualize	VERB
cana-4595	196	8	the	the	DET
cana-4595	196	9	trend	trend	NOUN
cana-4595	196	10	.	.	PUNCT
cana-4595	197	1	figure	figure	NOUN
cana-4595	197	2	1	1	NUM
cana-4595	197	3	:	:	PUNCT
cana-4595	197	4	error	error	NOUN
cana-4595	197	5	analysis	analysis	NOUN
cana-4595	197	6	of	of	ADP
cana-4595	197	7	the	the	DET
cana-4595	197	8	gnocchi	gnocchi	NOUN
cana-4595	197	9	polynomial	polynomial	ADJ
cana-4595	197	10	approximation	approximation	NOUN
cana-4595	197	11	6.1.2	6.1.2	NUM
cana-4595	197	12	convergence	convergence	NOUN
cana-4595	197	13	rate	rate	NOUN
cana-4595	197	14	vs.	vs.	ADP
cana-4595	197	15	polynomial	polynomial	ADJ
cana-4595	197	16	order	order	NOUN
cana-4595	197	17	to	to	PART
cana-4595	197	18	further	far	ADV
cana-4595	197	19	validate	validate	VERB
cana-4595	197	20	spectral	spectral	ADJ
cana-4595	197	21	accuracy	accuracy	NOUN
cana-4595	197	22	of	of	ADP
cana-4595	197	23	the	the	DET
cana-4595	197	24	gnocchi	gnocchi	NOUN
cana-4595	197	25	method	method	NOUN
cana-4595	197	26	,	,	PUNCT
cana-4595	197	27	we	we	PRON
cana-4595	197	28	analyze	analyze	VERB
cana-4595	197	29	how	how	SCONJ
cana-4595	197	30	the	the	DET
cana-4595	197	31	maximum	maximum	ADJ
cana-4595	197	32	approximation	approximation	NOUN
cana-4595	197	33	error	error	NOUN
cana-4595	197	34	decays	decay	NOUN
cana-4595	197	35	as	as	ADP
cana-4595	197	36	polynomial	polynomial	ADJ
cana-4595	197	37	order	order	NOUN
cana-4595	197	38	𝑁	𝑁	NOUN
cana-4595	197	39	increases	increase	NOUN
cana-4595	197	40	.	.	PUNCT
cana-4595	198	1	the	the	DET
cana-4595	198	2	results	result	NOUN
cana-4595	198	3	in	in	ADP
cana-4595	198	4	figure	figure	NOUN
cana-4595	198	5	2	2	NUM
cana-4595	198	6	show	show	VERB
cana-4595	198	7	an	an	DET
cana-4595	198	8	exponential	exponential	ADJ
cana-4595	198	9	decrease	decrease	NOUN
cana-4595	198	10	in	in	ADP
cana-4595	198	11	error	error	NOUN
cana-4595	198	12	,	,	PUNCT
cana-4595	198	13	confirming	confirm	VERB
cana-4595	198	14	that	that	SCONJ
cana-4595	198	15	gnocchi	gnocchi	NOUN
cana-4595	198	16	polynomial	polynomial	ADJ
cana-4595	198	17	-	-	PUNCT
cana-4595	198	18	based	base	VERB
cana-4595	198	19	expansion	expansion	NOUN
cana-4595	198	20	provides	provide	VERB
cana-4595	198	21	highly	highly	ADV
cana-4595	198	22	accurate	accurate	ADJ
cana-4595	198	23	results	result	NOUN
cana-4595	198	24	for	for	ADP
cana-4595	198	25	fractional	fractional	ADJ
cana-4595	198	26	operators	operator	NOUN
cana-4595	198	27	.	.	PUNCT
cana-4595	199	1	communications	communication	NOUN
cana-4595	199	2	on	on	ADP
cana-4595	199	3	applied	apply	VERB
cana-4595	199	4	nonlinear	nonlinear	ADJ
cana-4595	199	5	analysis	analysis	NOUN
cana-4595	199	6	issn	issn	NOUN
cana-4595	199	7	:	:	PUNCT
cana-4595	199	8	1074	1074	NUM
cana-4595	199	9	-	-	PUNCT
cana-4595	199	10	133x	133x	NUM
cana-4595	199	11	vol	vol	NOUN
cana-4595	199	12	32	32	NUM
cana-4595	199	13	no	no	NOUN
cana-4595	199	14	.	.	PUNCT
cana-4595	200	1	9s	9s	NUM
cana-4595	200	2	(	(	PUNCT
cana-4595	200	3	2025	2025	NUM
cana-4595	200	4	)	)	PUNCT
cana-4595	200	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	200	6	2979	2979	NUM
cana-4595	200	7	figure	figure	NOUN
cana-4595	200	8	2	2	NUM
cana-4595	200	9	:	:	PUNCT
cana-4595	200	10	convergence	convergence	NOUN
cana-4595	200	11	rate	rate	NOUN
cana-4595	200	12	of	of	ADP
cana-4595	200	13	gnocchi	gnocchi	NOUN
cana-4595	200	14	polynomial	polynomial	ADJ
cana-4595	200	15	approximation	approximation	NOUN
cana-4595	200	16	6.1.3	6.1.3	NUM
cana-4595	200	17	computational	computational	ADJ
cana-4595	200	18	efficiency	efficiency	NOUN
cana-4595	200	19	analysis	analysis	NOUN
cana-4595	200	20	the	the	DET
cana-4595	200	21	computational	computational	ADJ
cana-4595	200	22	complexity	complexity	NOUN
cana-4595	200	23	of	of	ADP
cana-4595	200	24	traditional	traditional	ADJ
cana-4595	200	25	polynomial	polynomial	ADJ
cana-4595	200	26	-	-	PUNCT
cana-4595	200	27	based	base	VERB
cana-4595	200	28	methods	method	NOUN
cana-4595	200	29	often	often	ADV
cana-4595	200	30	scales	scale	VERB
cana-4595	200	31	as	as	ADP
cana-4595	200	32	𝑂(𝑁2	𝑂(𝑁2	NOUN
cana-4595	200	33	)	)	PUNCT
cana-4595	200	34	,	,	PUNCT
cana-4595	200	35	making	make	VERB
cana-4595	200	36	them	they	PRON
cana-4595	200	37	inefficient	inefficient	ADJ
cana-4595	200	38	for	for	ADP
cana-4595	200	39	large	large	ADJ
cana-4595	200	40	-	-	PUNCT
cana-4595	200	41	scale	scale	NOUN
cana-4595	200	42	problems	problem	NOUN
cana-4595	200	43	.	.	PUNCT
cana-4595	201	1	however	however	ADV
cana-4595	201	2	,	,	PUNCT
cana-4595	201	3	the	the	DET
cana-4595	201	4	gnocchi	gnocchi	NOUN
cana-4595	201	5	-	-	PUNCT
cana-4595	201	6	based	base	VERB
cana-4595	201	7	operational	operational	ADJ
cana-4595	201	8	matrix	matrix	NOUN
cana-4595	201	9	exhibits	exhibit	VERB
cana-4595	201	10	a	a	DET
cana-4595	201	11	sparse	sparse	ADJ
cana-4595	201	12	structure	structure	NOUN
cana-4595	201	13	,	,	PUNCT
cana-4595	201	14	reducing	reduce	VERB
cana-4595	201	15	computational	computational	ADJ
cana-4595	201	16	complexity	complexity	NOUN
cana-4595	201	17	to	to	PART
cana-4595	201	18	𝑂(𝑁	𝑂(𝑁	VERB
cana-4595	201	19	)	)	PUNCT
cana-4595	201	20	.	.	PUNCT
cana-4595	202	1	figure	figure	NOUN
cana-4595	202	2	3	3	NUM
cana-4595	202	3	illustrates	illustrate	VERB
cana-4595	202	4	the	the	DET
cana-4595	202	5	relationship	relationship	NOUN
cana-4595	202	6	between	between	ADP
cana-4595	202	7	polynomial	polynomial	ADJ
cana-4595	202	8	order	order	NOUN
cana-4595	202	9	and	and	CCONJ
cana-4595	202	10	computation	computation	NOUN
cana-4595	202	11	time	time	NOUN
cana-4595	202	12	,	,	PUNCT
cana-4595	202	13	demonstrating	demonstrate	VERB
cana-4595	202	14	that	that	SCONJ
cana-4595	202	15	the	the	DET
cana-4595	202	16	gnocchi	gnocchi	NOUN
cana-4595	202	17	-	-	PUNCT
cana-4595	202	18	based	base	VERB
cana-4595	202	19	approach	approach	NOUN
cana-4595	202	20	significantly	significantly	ADV
cana-4595	202	21	improves	improve	VERB
cana-4595	202	22	efficiency	efficiency	NOUN
cana-4595	202	23	.	.	PUNCT
cana-4595	203	1	figure	figure	VERB
cana-4595	203	2	3	3	NUM
cana-4595	203	3	:	:	PUNCT
cana-4595	203	4	computational	computational	ADJ
cana-4595	203	5	efficiency	efficiency	NOUN
cana-4595	203	6	of	of	ADP
cana-4595	203	7	gnocchi	gnocchi	NOUN
cana-4595	203	8	polynomial	polynomial	ADJ
cana-4595	203	9	approximation	approximation	NOUN
cana-4595	203	10	6.2	6.2	NUM
cana-4595	203	11	conclusion	conclusion	NOUN
cana-4595	203	12	in	in	ADP
cana-4595	203	13	this	this	DET
cana-4595	203	14	study	study	NOUN
cana-4595	203	15	,	,	PUNCT
cana-4595	203	16	a	a	DET
cana-4595	203	17	new	new	ADJ
cana-4595	203	18	operational	operational	ADJ
cana-4595	203	19	matrix	matrix	NOUN
cana-4595	203	20	based	base	VERB
cana-4595	203	21	on	on	ADP
cana-4595	203	22	gnocchi	gnocchi	NOUN
cana-4595	203	23	polynomial	polynomial	PROPN
cana-4595	203	24	was	be	AUX
cana-4595	203	25	proposed	propose	VERB
cana-4595	203	26	for	for	ADP
cana-4595	203	27	solving	solve	VERB
cana-4595	203	28	non	non	ADJ
cana-4595	203	29	linear	linear	ADJ
cana-4595	203	30	fractional	fractional	ADJ
cana-4595	203	31	differential	differential	ADJ
cana-4595	203	32	equations	equation	NOUN
cana-4595	203	33	(	(	PUNCT
cana-4595	203	34	nfdes	nfde	NOUN
cana-4595	203	35	)	)	PUNCT
cana-4595	203	36	.	.	PUNCT
cana-4595	204	1	in	in	ADP
cana-4595	204	2	this	this	DET
cana-4595	204	3	method	method	NOUN
cana-4595	204	4	,	,	PUNCT
cana-4595	204	5	the	the	DET
cana-4595	204	6	orthogonality	orthogonality	NOUN
cana-4595	204	7	and	and	CCONJ
cana-4595	204	8	recurrence	recurrence	NOUN
cana-4595	204	9	structure	structure	NOUN
cana-4595	204	10	of	of	ADP
cana-4595	204	11	gnocchi	gnocchi	NOUN
cana-4595	204	12	polynomials	polynomial	NOUN
cana-4595	204	13	are	be	AUX
cana-4595	204	14	embedded	embed	VERB
cana-4595	204	15	in	in	ADP
cana-4595	204	16	the	the	DET
cana-4595	204	17	operational	operational	ADJ
cana-4595	204	18	framework	framework	NOUN
cana-4595	204	19	,	,	PUNCT
cana-4595	204	20	which	which	PRON
cana-4595	204	21	transforms	transform	VERB
cana-4595	204	22	complex	complex	ADJ
cana-4595	204	23	nfdes	nfde	NOUN
cana-4595	204	24	to	to	ADP
cana-4595	204	25	a	a	DET
cana-4595	204	26	tractable	tractable	ADJ
cana-4595	204	27	algebraic	algebraic	ADJ
cana-4595	204	28	system	system	NOUN
cana-4595	204	29	,	,	PUNCT
cana-4595	204	30	based	base	VERB
cana-4595	204	31	on	on	ADP
cana-4595	204	32	which	which	PRON
cana-4595	204	33	complex	complex	ADJ
cana-4595	204	34	problems	problem	NOUN
cana-4595	204	35	can	can	AUX
cana-4595	204	36	be	be	AUX
cana-4595	204	37	handled	handle	VERB
cana-4595	204	38	with	with	ADP
cana-4595	204	39	improved	improved	ADJ
cana-4595	204	40	computational	computational	ADJ
cana-4595	204	41	performance	performance	NOUN
cana-4595	204	42	.	.	PUNCT
cana-4595	205	1	the	the	DET
cana-4595	205	2	method	method	NOUN
cana-4595	205	3	's	's	PART
cana-4595	205	4	mathematical	mathematical	ADJ
cana-4595	205	5	foundation	foundation	NOUN
cana-4595	205	6	rests	rest	VERB
cana-4595	205	7	on	on	ADP
cana-4595	205	8	the	the	DET
cana-4595	205	9	key	key	ADJ
cana-4595	205	10	approximation	approximation	NOUN
cana-4595	205	11	:	:	PUNCT
cana-4595	205	12	communications	communication	NOUN
cana-4595	205	13	on	on	ADP
cana-4595	205	14	applied	apply	VERB
cana-4595	205	15	nonlinear	nonlinear	ADJ
cana-4595	205	16	analysis	analysis	NOUN
cana-4595	205	17	issn	issn	NOUN
cana-4595	205	18	:	:	PUNCT
cana-4595	205	19	1074	1074	NUM
cana-4595	205	20	-	-	PUNCT
cana-4595	205	21	133x	133x	NUM
cana-4595	205	22	vol	vol	NOUN
cana-4595	205	23	32	32	NUM
cana-4595	206	1	no	no	NOUN
cana-4595	206	2	.	.	PUNCT
cana-4595	207	1	9s	9s	NUM
cana-4595	207	2	(	(	PUNCT
cana-4595	207	3	2025	2025	NUM
cana-4595	207	4	)	)	PUNCT
cana-4595	207	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	207	6	2980	2980	NUM
cana-4595	207	7	𝐷𝛼𝑦(𝑥	𝐷𝛼𝑦(𝑥	NOUN
cana-4595	207	8	)	)	PUNCT
cana-4595	208	1	≈	≈	PROPN
cana-4595	208	2	𝑃(𝛼)𝐶𝑇𝐺(𝑥	𝑃(𝛼)𝐶𝑇𝐺(𝑥	PROPN
cana-4595	208	3	)	)	PUNCT
cana-4595	208	4	where	where	SCONJ
cana-4595	208	5	𝑃(𝛼	𝑃(𝛼	NUM
cana-4595	208	6	)	)	PUNCT
cana-4595	208	7	is	be	AUX
cana-4595	208	8	the	the	DET
cana-4595	208	9	operational	operational	ADJ
cana-4595	208	10	matrix	matrix	NOUN
cana-4595	208	11	,	,	PUNCT
cana-4595	208	12	and	and	CCONJ
cana-4595	208	13	𝐺(𝑥	𝐺(𝑥	NOUN
cana-4595	208	14	)	)	PUNCT
cana-4595	208	15	is	be	AUX
cana-4595	208	16	the	the	DET
cana-4595	208	17	gnocchi	gnocchi	NOUN
cana-4595	208	18	polynomial	polynomial	ADJ
cana-4595	208	19	basis	basis	NOUN
cana-4595	208	20	.	.	PUNCT
cana-4595	209	1	this	this	DET
cana-4595	209	2	formulation	formulation	NOUN
cana-4595	209	3	is	be	AUX
cana-4595	209	4	not	not	PART
cana-4595	209	5	only	only	ADV
cana-4595	209	6	computationally	computationally	ADV
cana-4595	209	7	elegant	elegant	ADJ
cana-4595	209	8	but	but	CCONJ
cana-4595	209	9	also	also	ADV
cana-4595	209	10	well	well	ADV
cana-4595	209	11	-	-	PUNCT
cana-4595	209	12	suited	suit	VERB
cana-4595	209	13	for	for	ADP
cana-4595	209	14	high	high	ADJ
cana-4595	209	15	-	-	PUNCT
cana-4595	209	16	precision	precision	NOUN
cana-4595	209	17	fractional	fractional	ADJ
cana-4595	209	18	modeling	modeling	NOUN
cana-4595	209	19	.	.	PUNCT
cana-4595	210	1	its	its	PRON
cana-4595	210	2	numerical	numerical	ADJ
cana-4595	210	3	effectiveness	effectiveness	NOUN
cana-4595	210	4	has	have	AUX
cana-4595	210	5	been	be	AUX
cana-4595	210	6	confirmed	confirm	VERB
cana-4595	210	7	through	through	ADP
cana-4595	210	8	multiple	multiple	ADJ
cana-4595	210	9	validation	validation	NOUN
cana-4595	210	10	steps	step	NOUN
cana-4595	210	11	.	.	PUNCT
cana-4595	211	1	figure	figure	VERB
cana-4595	211	2	4	4	NUM
cana-4595	211	3	illustrates	illustrate	VERB
cana-4595	211	4	the	the	DET
cana-4595	211	5	shape	shape	NOUN
cana-4595	211	6	and	and	CCONJ
cana-4595	211	7	behavior	behavior	NOUN
cana-4595	211	8	of	of	ADP
cana-4595	211	9	the	the	DET
cana-4595	211	10	first	first	ADJ
cana-4595	211	11	few	few	ADJ
cana-4595	211	12	gnocchi	gnocchi	NOUN
cana-4595	211	13	basis	basis	NOUN
cana-4595	211	14	functions	function	NOUN
cana-4595	211	15	,	,	PUNCT
cana-4595	211	16	reinforcing	reinforce	VERB
cana-4595	211	17	their	their	PRON
cana-4595	211	18	role	role	NOUN
cana-4595	211	19	in	in	ADP
cana-4595	211	20	smooth	smooth	ADJ
cana-4595	211	21	function	function	NOUN
cana-4595	211	22	representation	representation	NOUN
cana-4595	211	23	.	.	PUNCT
cana-4595	212	1	figure	figure	VERB
cana-4595	212	2	4	4	NUM
cana-4595	212	3	:	:	PUNCT
cana-4595	212	4	sample	sample	NOUN
cana-4595	212	5	gnocchi	gnocchi	NOUN
cana-4595	212	6	polynomial	polynomial	ADJ
cana-4595	212	7	basis	basis	NOUN
cana-4595	212	8	functions	function	NOUN
cana-4595	212	9	this	this	DET
cana-4595	212	10	plot	plot	NOUN
cana-4595	212	11	illustrates	illustrate	VERB
cana-4595	212	12	the	the	DET
cana-4595	212	13	behavior	behavior	NOUN
cana-4595	212	14	of	of	ADP
cana-4595	212	15	the	the	DET
cana-4595	212	16	first	first	ADJ
cana-4595	212	17	few	few	ADJ
cana-4595	212	18	gnocchi	gnocchi	NOUN
cana-4595	212	19	polynomials	polynomial	NOUN
cana-4595	212	20	𝐺0(𝑥	𝐺0(𝑥	NUM
cana-4595	212	21	)	)	PUNCT
cana-4595	212	22	,	,	PUNCT
cana-4595	212	23	𝐺1(𝑥	𝐺1(𝑥	NUM
cana-4595	212	24	)	)	PUNCT
cana-4595	212	25	,	,	PUNCT
cana-4595	212	26	𝐺2(𝑥	𝐺2(𝑥	NUM
cana-4595	212	27	)	)	PUNCT
cana-4595	212	28	,	,	PUNCT
cana-4595	212	29	𝐺3(𝑥	𝐺3(𝑥	NUM
cana-4595	212	30	)	)	PUNCT
cana-4595	212	31	over	over	ADP
cana-4595	212	32	the	the	DET
cana-4595	212	33	interval	interval	NOUN
cana-4595	213	1	[	[	X
cana-4595	213	2	−1,1	−1,1	X
cana-4595	213	3	]	]	X
cana-4595	213	4	,	,	PUNCT
cana-4595	213	5	demonstrating	demonstrate	VERB
cana-4595	213	6	their	their	PRON
cana-4595	213	7	structure	structure	NOUN
cana-4595	213	8	and	and	CCONJ
cana-4595	213	9	oscillatory	oscillatory	ADJ
cana-4595	213	10	behavior	behavior	NOUN
cana-4595	213	11	.	.	PUNCT
cana-4595	214	1	it	it	PRON
cana-4595	214	2	supports	support	VERB
cana-4595	214	3	the	the	DET
cana-4595	214	4	basis	basis	NOUN
cana-4595	214	5	expansion	expansion	NOUN
cana-4595	214	6	concept	concept	NOUN
cana-4595	214	7	used	use	VERB
cana-4595	214	8	in	in	ADP
cana-4595	214	9	the	the	DET
cana-4595	214	10	proposed	propose	VERB
cana-4595	214	11	operational	operational	ADJ
cana-4595	214	12	matrix	matrix	NOUN
cana-4595	214	13	formulation	formulation	NOUN
cana-4595	214	14	.	.	PUNCT
cana-4595	215	1	figure	figure	NOUN
cana-4595	215	2	5	5	NUM
cana-4595	215	3	also	also	ADV
cana-4595	215	4	validates	validate	VERB
cana-4595	215	5	the	the	DET
cana-4595	215	6	spectral	spectral	ADJ
cana-4595	215	7	characteristics	characteristic	NOUN
cana-4595	215	8	of	of	ADP
cana-4595	215	9	the	the	DET
cana-4595	215	10	proposed	propose	VERB
cana-4595	215	11	method	method	NOUN
cana-4595	215	12	,	,	PUNCT
cana-4595	215	13	illustrating	illustrate	VERB
cana-4595	215	14	that	that	SCONJ
cana-4595	215	15	the	the	DET
cana-4595	215	16	spectral	spectral	ADJ
cana-4595	215	17	radius	radius	NOUN
cana-4595	215	18	of	of	ADP
cana-4595	215	19	the	the	DET
cana-4595	215	20	operational	operational	ADJ
cana-4595	215	21	matrix	matrix	NOUN
cana-4595	215	22	grows	grow	VERB
cana-4595	215	23	slowly	slowly	ADV
cana-4595	215	24	with	with	ADP
cana-4595	215	25	polynomial	polynomial	ADJ
cana-4595	215	26	order	order	NOUN
cana-4595	215	27	,	,	PUNCT
cana-4595	215	28	which	which	PRON
cana-4595	215	29	indicates	indicate	VERB
cana-4595	215	30	strong	strong	ADJ
cana-4595	215	31	numerical	numerical	ADJ
cana-4595	215	32	stability	stability	NOUN
cana-4595	215	33	on	on	ADP
cana-4595	215	34	larger	large	ADJ
cana-4595	215	35	systems	system	NOUN
cana-4595	215	36	.	.	PUNCT
cana-4595	216	1	figure	figure	VERB
cana-4595	216	2	5	5	NUM
cana-4595	216	3	:	:	PUNCT
cana-4595	216	4	spectral	spectral	ADJ
cana-4595	216	5	radius	radius	NOUN
cana-4595	216	6	of	of	ADP
cana-4595	216	7	operational	operational	ADJ
cana-4595	216	8	matrix	matrix	NOUN
cana-4595	216	9	vs.	vs.	ADP
cana-4595	216	10	polynomial	polynomial	ADJ
cana-4595	216	11	order	order	NOUN
cana-4595	216	12	communications	communication	NOUN
cana-4595	216	13	on	on	ADP
cana-4595	216	14	applied	apply	VERB
cana-4595	216	15	nonlinear	nonlinear	ADJ
cana-4595	216	16	analysis	analysis	NOUN
cana-4595	216	17	issn	issn	NOUN
cana-4595	216	18	:	:	PUNCT
cana-4595	216	19	1074	1074	NUM
cana-4595	216	20	-	-	PUNCT
cana-4595	216	21	133x	133x	NUM
cana-4595	216	22	vol	vol	NOUN
cana-4595	216	23	32	32	NUM
cana-4595	217	1	no	no	NOUN
cana-4595	217	2	.	.	PUNCT
cana-4595	218	1	9s	9s	NUM
cana-4595	218	2	(	(	PUNCT
cana-4595	218	3	2025	2025	NUM
cana-4595	218	4	)	)	PUNCT
cana-4595	219	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4595	219	2	2981	2981	NUM
cana-4595	219	3	this	this	DET
cana-4595	219	4	figure	figure	NOUN
cana-4595	219	5	illustrates	illustrate	VERB
cana-4595	219	6	the	the	DET
cana-4595	219	7	evolution	evolution	NOUN
cana-4595	219	8	of	of	ADP
cana-4595	219	9	the	the	DET
cana-4595	219	10	spectral	spectral	ADJ
cana-4595	219	11	radius	radius	NOUN
cana-4595	219	12	of	of	ADP
cana-4595	219	13	the	the	DET
cana-4595	219	14	operational	operational	ADJ
cana-4595	219	15	matrix	matrix	NOUN
cana-4595	219	16	with	with	ADP
cana-4595	219	17	increasing	increase	VERB
cana-4595	219	18	polynomial	polynomial	ADJ
cana-4595	219	19	order	order	NOUN
cana-4595	219	20	.	.	PUNCT
cana-4595	220	1	it	it	PRON
cana-4595	220	2	indicates	indicate	VERB
cana-4595	220	3	visually	visually	ADV
cana-4595	220	4	how	how	SCONJ
cana-4595	220	5	stable	stable	ADJ
cana-4595	220	6	the	the	DET
cana-4595	220	7	method	method	NOUN
cana-4595	220	8	is	be	AUX
cana-4595	220	9	numerically	numerically	ADV
cana-4595	220	10	,	,	PUNCT
cana-4595	220	11	and	and	CCONJ
cana-4595	220	12	it	it	PRON
cana-4595	220	13	shows	show	VERB
cana-4595	220	14	that	that	SCONJ
cana-4595	220	15	the	the	DET
cana-4595	220	16	gnocchi	gnocchi	NOUN
cana-4595	220	17	based	base	VERB
cana-4595	220	18	matrix	matrix	NOUN
cana-4595	220	19	stays	stay	VERB
cana-4595	220	20	well	well	ADV
cana-4595	220	21	conditioned	condition	VERB
cana-4595	220	22	for	for	ADP
cana-4595	220	23	larger	large	ADJ
cana-4595	220	24	systems	system	NOUN
cana-4595	220	25	.	.	PUNCT
cana-4595	221	1	additionally	additionally	ADV
cana-4595	221	2	,	,	PUNCT
cana-4595	221	3	the	the	DET
cana-4595	221	4	earlier	early	ADJ
cana-4595	221	5	figures	figure	NOUN
cana-4595	221	6	(	(	PUNCT
cana-4595	221	7	figures	figure	NOUN
cana-4595	221	8	1	1	NUM
cana-4595	221	9	to	to	PART
cana-4595	221	10	3	3	NUM
cana-4595	221	11	)	)	PUNCT
cana-4595	221	12	also	also	ADV
cana-4595	221	13	confirmed	confirm	VERB
cana-4595	221	14	the	the	DET
cana-4595	221	15	exponential	exponential	ADJ
cana-4595	221	16	convergence	convergence	NOUN
cana-4595	221	17	,	,	PUNCT
cana-4595	221	18	error	error	NOUN
cana-4595	221	19	decay	decay	NOUN
cana-4595	221	20	and	and	CCONJ
cana-4595	221	21	efficiency	efficiency	NOUN
cana-4595	221	22	of	of	ADP
cana-4595	221	23	the	the	DET
cana-4595	221	24	runtime	runtime	NOUN
cana-4595	221	25	of	of	ADP
cana-4595	221	26	the	the	DET
cana-4595	221	27	method	method	NOUN
cana-4595	221	28	,	,	PUNCT
cana-4595	221	29	showing	show	VERB
cana-4595	221	30	that	that	SCONJ
cana-4595	221	31	the	the	DET
cana-4595	221	32	method	method	NOUN
cana-4595	221	33	outperforms	outperform	VERB
cana-4595	221	34	classical	classical	ADJ
cana-4595	221	35	approaches	approach	NOUN
cana-4595	221	36	such	such	ADJ
cana-4595	221	37	as	as	ADP
cana-4595	221	38	legendre	legendre	PROPN
cana-4595	221	39	and	and	CCONJ
cana-4595	221	40	chebyshev	chebyshev	PROPN
cana-4595	221	41	based	base	VERB
cana-4595	221	42	matrices	matrix	NOUN
cana-4595	221	43	.	.	PUNCT
cana-4595	222	1	summing	sum	VERB
cana-4595	222	2	up	up	ADP
cana-4595	222	3	all	all	PRON
cana-4595	222	4	,	,	PUNCT
cana-4595	222	5	the	the	DET
cana-4595	222	6	gnocchi	gnocchi	NOUN
cana-4595	222	7	polynomial	polynomial	ADJ
cana-4595	222	8	-	-	PUNCT
cana-4595	222	9	based	base	VERB
cana-4595	222	10	operational	operational	ADJ
cana-4595	222	11	matrix	matrix	NOUN
cana-4595	222	12	offers	offer	NOUN
cana-4595	222	13	:	:	PUNCT
cana-4595	222	14	•	•	NUM
cana-4595	222	15	spectral	spectral	ADJ
cana-4595	222	16	-	-	PUNCT
cana-4595	222	17	level	level	NOUN
cana-4595	222	18	convergence	convergence	NOUN
cana-4595	222	19	for	for	ADP
cana-4595	222	20	smooth	smooth	ADJ
cana-4595	222	21	solutions	solution	NOUN
cana-4595	222	22	•	•	ADV
cana-4595	222	23	sparse	sparse	ADJ
cana-4595	222	24	and	and	CCONJ
cana-4595	222	25	efficient	efficient	ADJ
cana-4595	222	26	matrix	matrix	NOUN
cana-4595	222	27	structure	structure	NOUN
cana-4595	222	28	•	•	ADP
cana-4595	222	29	improved	improve	VERB
cana-4595	222	30	stability	stability	NOUN
cana-4595	222	31	for	for	ADP
cana-4595	222	32	non	non	ADJ
cana-4595	222	33	-	-	ADJ
cana-4595	222	34	linear	linear	ADJ
cana-4595	222	35	fractional	fractional	ADJ
cana-4595	222	36	operators	operator	NOUN
cana-4595	222	37	the	the	DET
cana-4595	222	38	method	method	NOUN
cana-4595	222	39	is	be	AUX
cana-4595	222	40	shown	show	VERB
cana-4595	222	41	to	to	PART
cana-4595	222	42	have	have	VERB
cana-4595	222	43	great	great	ADJ
cana-4595	222	44	promise	promise	NOUN
cana-4595	222	45	for	for	ADP
cana-4595	222	46	solving	solve	VERB
cana-4595	222	47	large	large	ADJ
cana-4595	222	48	scale	scale	NOUN
cana-4595	222	49	nfdes	nfde	VERB
cana-4595	222	50	efficiently	efficiently	ADV
cana-4595	222	51	.	.	PUNCT
cana-4595	223	1	this	this	DET
cana-4595	223	2	approach	approach	NOUN
cana-4595	223	3	can	can	AUX
cana-4595	223	4	be	be	AUX
cana-4595	223	5	further	far	ADV
cana-4595	223	6	extended	extend	VERB
cana-4595	223	7	to	to	PART
cana-4595	223	8	multi	multi	VERB
cana-4595	223	9	dimensional	dimensional	ADJ
cana-4595	223	10	fractional	fractional	ADJ
cana-4595	223	11	pdes	pde	NOUN
cana-4595	223	12	and	and	CCONJ
cana-4595	223	13	also	also	ADV
cana-4595	223	14	combined	combine	VERB
cana-4595	223	15	with	with	ADP
cana-4595	223	16	adaptive	adaptive	ADJ
cana-4595	223	17	spectral	spectral	ADJ
cana-4595	223	18	methods	method	NOUN
cana-4595	223	19	and	and	CCONJ
cana-4595	223	20	potentially	potentially	ADV
cana-4595	223	21	be	be	AUX
cana-4595	223	22	integrated	integrate	VERB
cana-4595	223	23	with	with	ADP
cana-4595	223	24	machine	machine	NOUN
cana-4595	223	25	learning	learning	NOUN
cana-4595	223	26	based	base	VERB
cana-4595	223	27	basis	basis	NOUN
cana-4595	223	28	selection	selection	NOUN
cana-4595	223	29	techniques	technique	NOUN
cana-4595	223	30	for	for	ADP
cana-4595	223	31	handling	handle	VERB
cana-4595	223	32	singularities	singularity	NOUN
cana-4595	223	33	or	or	CCONJ
cana-4595	223	34	real	real	ADJ
cana-4595	223	35	time	time	NOUN
cana-4595	223	36	applications	application	NOUN
cana-4595	223	37	.	.	PUNCT
cana-4595	224	1	references	reference	NOUN
cana-4595	224	2	1	1	NUM
cana-4595	224	3	.	.	PUNCT
cana-4595	225	1	rigi	rigi	PROPN
cana-4595	225	2	,	,	PUNCT
cana-4595	225	3	f.	f.	PROPN
cana-4595	225	4	,	,	PUNCT
cana-4595	225	5	&	&	CCONJ
cana-4595	225	6	tajadodi	tajadodi	PROPN
cana-4595	225	7	,	,	PUNCT
cana-4595	225	8	h.	h.	PROPN
cana-4595	225	9	(	(	PUNCT
cana-4595	225	10	2019	2019	NUM
cana-4595	225	11	)	)	PUNCT
cana-4595	225	12	.	.	PUNCT
cana-4595	226	1	numerical	numerical	ADJ
cana-4595	226	2	approach	approach	NOUN
cana-4595	226	3	of	of	ADP
cana-4595	226	4	fractional	fractional	PROPN
cana-4595	226	5	abel	abel	PROPN
cana-4595	226	6	differential	differential	NOUN
cana-4595	226	7	equation	equation	NOUN
cana-4595	226	8	by	by	ADP
cana-4595	226	9	genocchi	genocchi	PROPN
cana-4595	226	10	polynomials	polynomial	NOUN
cana-4595	226	11	.	.	PUNCT
cana-4595	227	1	international	international	ADJ
cana-4595	227	2	journal	journal	PROPN
cana-4595	227	3	of	of	ADP
cana-4595	227	4	applied	applied	ADJ
cana-4595	227	5	and	and	CCONJ
cana-4595	227	6	computational	computational	ADJ
cana-4595	227	7	mathematics	mathematic	NOUN
cana-4595	227	8	,	,	PUNCT
cana-4595	227	9	5(5	5(5	NUM
cana-4595	227	10	)	)	PUNCT
cana-4595	227	11	,	,	PUNCT
cana-4595	227	12	134	134	NUM
cana-4595	227	13	.	.	NOUN
cana-4595	227	14	2	2	NUM
cana-4595	227	15	.	.	X
cana-4595	228	1	medina	medina	PROPN
cana-4595	228	2	-	-	PUNCT
cana-4595	228	3	ramos	ramos	PROPN
cana-4595	228	4	,	,	PUNCT
cana-4595	228	5	c.	c.	PROPN
cana-4595	228	6	,	,	PUNCT
cana-4595	228	7	carbonel	carbonel	NOUN
cana-4595	228	8	-	-	PUNCT
cana-4595	228	9	olazabal	olazabal	NOUN
cana-4595	228	10	,	,	PUNCT
cana-4595	228	11	d.	d.	PROPN
cana-4595	228	12	,	,	PUNCT
cana-4595	228	13	betetta	betetta	PROPN
cana-4595	228	14	-	-	PUNCT
cana-4595	228	15	gomez	gomez	PROPN
cana-4595	228	16	,	,	PUNCT
cana-4595	228	17	j.	j.	PROPN
cana-4595	228	18	,	,	PUNCT
cana-4595	228	19	&	&	CCONJ
cana-4595	228	20	gonzales	gonzales	PROPN
cana-4595	228	21	-	-	PUNCT
cana-4595	228	22	torres	torre	NOUN
cana-4595	228	23	,	,	PUNCT
cana-4595	228	24	c.	c.	PROPN
cana-4595	228	25	(	(	PUNCT
cana-4595	228	26	2024	2024	NUM
cana-4595	228	27	,	,	PUNCT
cana-4595	228	28	september	september	PROPN
cana-4595	228	29	)	)	PUNCT
cana-4595	228	30	.	.	PUNCT
cana-4595	229	1	genocchi	genocchi	PROPN
cana-4595	229	2	polynomials	polynomial	VERB
cana-4595	229	3	in	in	ADP
cana-4595	229	4	volterra	volterra	PROPN
cana-4595	229	5	model	model	NOUN
cana-4595	229	6	to	to	PART
cana-4595	229	7	identify	identify	VERB
cana-4595	229	8	non	non	ADJ
cana-4595	229	9	-	-	ADJ
cana-4595	229	10	linear	linear	ADJ
cana-4595	229	11	systems	system	NOUN
cana-4595	229	12	,	,	PUNCT
cana-4595	229	13	case	case	NOUN
cana-4595	229	14	of	of	ADP
cana-4595	229	15	world	world	NOUN
cana-4595	229	16	ocean	ocean	PROPN
cana-4595	229	17	fishery	fishery	PROPN
cana-4595	229	18	.	.	PUNCT
cana-4595	230	1	in	in	ADP
cana-4595	230	2	2024	2024	NUM
cana-4595	230	3	ieee	ieee	NOUN
cana-4595	230	4	biennial	biennial	ADJ
cana-4595	230	5	congress	congress	PROPN
cana-4595	230	6	of	of	ADP
cana-4595	230	7	argentina	argentina	PROPN
cana-4595	230	8	(	(	PUNCT
cana-4595	230	9	argencon	argencon	PROPN
cana-4595	230	10	)	)	PUNCT
cana-4595	230	11	(	(	PUNCT
cana-4595	230	12	pp	pp	X
cana-4595	230	13	.	.	PUNCT
cana-4595	231	1	1	1	NUM
cana-4595	231	2	-	-	SYM
cana-4595	231	3	8)	8)	NUM
cana-4595	231	4	.	.	PUNCT
cana-4595	231	5	ieee	ieee	NOUN
cana-4595	231	6	.	.	PUNCT
cana-4595	232	1	3	3	NUM
cana-4595	232	2	.	.	X
cana-4595	232	3	graglia	graglia	PROPN
cana-4595	232	4	,	,	PUNCT
cana-4595	232	5	r.	r.	PROPN
cana-4595	232	6	,	,	PUNCT
cana-4595	232	7	pelosi	pelosi	PROPN
cana-4595	232	8	,	,	PUNCT
cana-4595	232	9	g.	g.	PROPN
cana-4595	232	10	,	,	PUNCT
cana-4595	232	11	&	&	CCONJ
cana-4595	232	12	selleri	selleri	PROPN
cana-4595	232	13	,	,	PUNCT
cana-4595	232	14	s.	s.	PROPN
cana-4595	232	15	(	(	PUNCT
cana-4595	232	16	2016	2016	NUM
cana-4595	232	17	)	)	PUNCT
cana-4595	232	18	.	.	PUNCT
cana-4595	233	1	international	international	ADJ
cana-4595	233	2	workshop	workshop	NOUN
cana-4595	233	3	on	on	ADP
cana-4595	233	4	finite	finite	ADJ
cana-4595	233	5	elements	element	NOUN
cana-4595	233	6	for	for	ADP
cana-4595	233	7	microwave	microwave	NOUN
cana-4595	233	8	engineering	engineering	NOUN
cana-4595	233	9	:	:	PUNCT
cana-4595	233	10	from	from	ADP
cana-4595	233	11	1992	1992	NUM
cana-4595	233	12	to	to	PART
cana-4595	233	13	present	present	VERB
cana-4595	233	14	&	&	CCONJ
cana-4595	233	15	proceedings	proceeding	NOUN
cana-4595	233	16	of	of	ADP
cana-4595	233	17	the	the	DET
cana-4595	233	18	13th	13th	NOUN
cana-4595	233	19	workshop	workshop	NOUN
cana-4595	233	20	(	(	PUNCT
cana-4595	233	21	p.	p.	NOUN
cana-4595	233	22	212	212	NUM
cana-4595	233	23	)	)	PUNCT
cana-4595	233	24	.	.	PUNCT
cana-4595	234	1	firenze	firenze	PROPN
cana-4595	234	2	university	university	PROPN
cana-4595	234	3	press	press	NOUN
cana-4595	234	4	.	.	PUNCT
cana-4595	235	1	4	4	X
cana-4595	235	2	.	.	X
cana-4595	235	3	castiglioni	castiglioni	PROPN
cana-4595	235	4	,	,	PUNCT
cana-4595	235	5	p.	p.	PROPN
cana-4595	235	6	,	,	PUNCT
cana-4595	235	7	&	&	CCONJ
cana-4595	235	8	faini	faini	PROPN
cana-4595	235	9	,	,	PUNCT
cana-4595	235	10	a.	a.	NOUN
cana-4595	235	11	(	(	PUNCT
cana-4595	235	12	2019	2019	NUM
cana-4595	235	13	)	)	PUNCT
cana-4595	235	14	.	.	PUNCT
cana-4595	236	1	a	a	DET
cana-4595	236	2	fast	fast	ADJ
cana-4595	236	3	dfa	dfa	NOUN
cana-4595	236	4	algorithm	algorithm	NOUN
cana-4595	236	5	for	for	ADP
cana-4595	236	6	multifractal	multifractal	ADJ
cana-4595	236	7	multiscale	multiscale	ADJ
cana-4595	236	8	analysis	analysis	NOUN
cana-4595	236	9	of	of	ADP
cana-4595	236	10	physiological	physiological	ADJ
cana-4595	236	11	time	time	NOUN
cana-4595	236	12	series	series	NOUN
cana-4595	236	13	.	.	PUNCT
cana-4595	237	1	frontiers	frontier	NOUN
cana-4595	237	2	in	in	ADP
cana-4595	237	3	physiology	physiology	NOUN
cana-4595	237	4	,	,	PUNCT
cana-4595	237	5	10	10	NUM
cana-4595	237	6	,	,	PUNCT
cana-4595	237	7	115	115	NUM
cana-4595	237	8	.	.	PUNCT
cana-4595	238	1	5	5	NUM
cana-4595	238	2	.	.	X
cana-4595	238	3	fantoni	fantoni	PROPN
cana-4595	238	4	,	,	PUNCT
cana-4595	238	5	a.	a.	NOUN
cana-4595	238	6	(	(	PUNCT
cana-4595	238	7	2023	2023	NUM
cana-4595	238	8	)	)	PUNCT
cana-4595	238	9	.	.	PUNCT
cana-4595	239	1	assessment	assessment	NOUN
cana-4595	239	2	of	of	ADP
cana-4595	239	3	vocal	vocal	ADJ
cana-4595	239	4	fatigue	fatigue	NOUN
cana-4595	239	5	of	of	ADP
cana-4595	239	6	multiple	multiple	ADJ
cana-4595	239	7	sclerosis	sclerosis	NOUN
cana-4595	239	8	patients	patient	NOUN
cana-4595	239	9	.	.	PUNCT
cana-4595	240	1	validation	validation	NOUN
cana-4595	240	2	of	of	ADP
cana-4595	240	3	a	a	DET
cana-4595	240	4	contact	contact	NOUN
cana-4595	240	5	microphone	microphone	NOUN
cana-4595	240	6	-	-	PUNCT
cana-4595	240	7	based	base	VERB
cana-4595	240	8	device	device	NOUN
cana-4595	240	9	for	for	ADP
cana-4595	240	10	long	long	ADJ
cana-4595	240	11	-	-	PUNCT
cana-4595	240	12	term	term	NOUN
cana-4595	240	13	monitoring	monitoring	NOUN
cana-4595	240	14	.	.	PUNCT
cana-4595	241	1	doctoral	doctoral	ADJ
cana-4595	241	2	dissertation	dissertation	NOUN
cana-4595	241	3	,	,	PUNCT
cana-4595	241	4	politecnico	politecnico	PROPN
cana-4595	241	5	di	di	PROPN
cana-4595	241	6	torino	torino	PROPN
cana-4595	241	7	.	.	PUNCT
cana-4595	242	1	6	6	NUM
cana-4595	242	2	.	.	X
cana-4595	242	3	giliberti	giliberti	PROPN
cana-4595	242	4	,	,	PUNCT
cana-4595	242	5	e.	e.	PROPN
cana-4595	242	6	(	(	PUNCT
cana-4595	242	7	2020	2020	NUM
cana-4595	242	8	)	)	PUNCT
cana-4595	242	9	.	.	PUNCT
cana-4595	243	1	on	on	ADP
cana-4595	243	2	neutron	neutron	NOUN
cana-4595	243	3	stars	star	NOUN
cana-4595	243	4	'	'	PART
cana-4595	243	5	crust	crust	NOUN
cana-4595	243	6	breaking	breaking	NOUN
cana-4595	243	7	and	and	CCONJ
cana-4595	243	8	gravitational	gravitational	ADJ
cana-4595	243	9	waves	wave	NOUN
cana-4595	243	10	emission	emission	NOUN
cana-4595	243	11	.	.	PUNCT
cana-4595	244	1	7	7	X
cana-4595	244	2	.	.	X
cana-4595	244	3	honkapohja	honkapohja	NOUN
cana-4595	244	4	,	,	PUNCT
cana-4595	244	5	s.	s.	PROPN
cana-4595	244	6	,	,	PUNCT
cana-4595	244	7	&	&	CCONJ
cana-4595	244	8	mcclung	mcclung	PROPN
cana-4595	244	9	,	,	PUNCT
cana-4595	244	10	n.	n.	PROPN
cana-4595	244	11	(	(	PUNCT
cana-4595	244	12	2024	2024	NUM
cana-4595	244	13	)	)	PUNCT
cana-4595	244	14	.	.	PUNCT
cana-4595	245	1	on	on	ADP
cana-4595	245	2	robustness	robustness	NOUN
cana-4595	245	3	of	of	ADP
cana-4595	245	4	average	average	ADJ
cana-4595	245	5	inflation	inflation	NOUN
cana-4595	245	6	targeting	target	VERB
cana-4595	245	7	.	.	PUNCT
cana-4595	245	8	available	available	ADJ
cana-4595	245	9	at	at	ADP
cana-4595	245	10	ssrn	ssrn	PROPN
cana-4595	245	11	4021712	4021712	NUM
cana-4595	245	12	.	.	PUNCT
cana-4595	246	1	8	8	NUM
cana-4595	246	2	.	.	X
cana-4595	246	3	ramos	ramos	PROPN
cana-4595	246	4	,	,	PUNCT
cana-4595	246	5	h.	h.	PROPN
cana-4595	246	6	s.	s.	PROPN
cana-4595	246	7	d.	d.	PROPN
cana-4595	246	8	c.	c.	PROPN
cana-4595	246	9	f.	f.	PROPN
cana-4595	246	10	(	(	PUNCT
cana-4595	246	11	2018	2018	NUM
cana-4595	246	12	)	)	PUNCT
cana-4595	246	13	.	.	PUNCT
cana-4595	247	1	three	three	NUM
cana-4595	247	2	dimensional	dimensional	ADJ
cana-4595	247	3	equation	equation	NOUN
cana-4595	247	4	of	of	ADP
cana-4595	247	5	state	state	NOUN
cana-4595	247	6	for	for	ADP
cana-4595	247	7	core	core	NOUN
cana-4595	247	8	-	-	PUNCT
cana-4595	247	9	collapse	collapse	NOUN
cana-4595	247	10	supernova	supernova	NOUN
cana-4595	247	11	matter	matter	NOUN
cana-4595	247	12	.	.	PUNCT
cana-4595	248	1	universidade	universidade	PROPN
cana-4595	248	2	de	de	PROPN
cana-4595	248	3	coimbra	coimbra	PROPN
cana-4595	248	4	(	(	PUNCT
cana-4595	248	5	portugal	portugal	PROPN
cana-4595	248	6	)	)	PUNCT
cana-4595	248	7	.	.	PUNCT
cana-4595	249	1	9	9	X
cana-4595	249	2	.	.	X
cana-4595	249	3	capineri	capineri	PROPN
cana-4595	249	4	,	,	PUNCT
cana-4595	249	5	l.	l.	PROPN
cana-4595	249	6	(	(	PUNCT
cana-4595	249	7	2021	2021	NUM
cana-4595	249	8	)	)	PUNCT
cana-4595	249	9	.	.	PUNCT
cana-4595	250	1	advanced	advanced	ADJ
cana-4595	250	2	technologies	technology	NOUN
cana-4595	250	3	for	for	ADP
cana-4595	250	4	piezoelectric	piezoelectric	ADJ
cana-4595	250	5	sensors	sensor	NOUN
cana-4595	250	6	in	in	ADP
cana-4595	250	7	shm	shm	NOUN
cana-4595	250	8	systems	system	NOUN
cana-4595	250	9	:	:	PUNCT
cana-4595	250	10	a	a	DET
cana-4595	250	11	review	review	NOUN
cana-4595	250	12	.	.	PUNCT
cana-4595	251	1	in	in	ADP
cana-4595	251	2	sms	sms	PROPN
cana-4595	251	3	-	-	PUNCT
cana-4595	251	4	sensors	sensor	NOUN
cana-4595	251	5	-	-	PUNCT
cana-4595	251	6	egf	egf	NOUN
cana-4595	251	7	-	-	PUNCT
cana-4595	251	8	nanomed-2021	nanomed-2021	NOUN
cana-4595	251	9	-	-	PUNCT
cana-4595	251	10	joint	joint	NOUN
cana-4595	251	11	-	-	PUNCT
cana-4595	251	12	conferences	conference	NOUN
cana-4595	251	13	-	-	PUNCT
cana-4595	251	14	book	book	NOUN
cana-4595	251	15	-	-	PUNCT
cana-4595	251	16	of	of	ADP
cana-4595	251	17	-	-	PUNCT
cana-4595	251	18	abstracts	abstract	NOUN
cana-4595	251	19	(	(	PUNCT
cana-4595	251	20	pp	pp	ADJ
cana-4595	251	21	.	.	PUNCT
cana-4595	252	1	28	28	NUM
cana-4595	252	2	-	-	SYM
cana-4595	252	3	28	28	NUM
cana-4595	252	4	)	)	PUNCT
cana-4595	252	5	.	.	PUNCT
cana-4595	253	1	mdpi	mdpi	PROPN
cana-4595	253	2	.	.	PUNCT
cana-4595	254	1	10	10	NUM
cana-4595	254	2	.	.	X
cana-4595	254	3	danilatou	danilatou	PROPN
cana-4595	254	4	,	,	PUNCT
cana-4595	254	5	v.	v.	ADP
cana-4595	254	6	a.	a.	PROPN
cana-4595	254	7	s.	s.	PROPN
cana-4595	254	8	i.	i.	PROPN
cana-4595	254	9	l.	l.	PROPN
cana-4595	254	10	i.	i.	PROPN
cana-4595	254	11	k.	k.	PROPN
cana-4595	254	12	i.	i.	PROPN
cana-4595	254	13	(	(	PUNCT
cana-4595	254	14	2021	2021	NUM
cana-4595	254	15	)	)	PUNCT
cana-4595	254	16	.	.	PUNCT
cana-4595	255	1	risk	risk	NOUN
cana-4595	255	2	assessment	assessment	NOUN
cana-4595	255	3	and	and	CCONJ
cana-4595	255	4	mortality	mortality	NOUN
cana-4595	255	5	prediction	prediction	NOUN
cana-4595	255	6	in	in	ADP
cana-4595	255	7	patients	patient	NOUN
cana-4595	255	8	with	with	ADP
cana-4595	255	9	venous	venous	ADJ
cana-4595	255	10	thromboembolism	thromboembolism	NOUN
cana-4595	255	11	using	use	VERB
cana-4595	255	12	big	big	ADJ
cana-4595	255	13	data	datum	NOUN
cana-4595	255	14	and	and	CCONJ
cana-4595	255	15	machine	machine	NOUN
cana-4595	255	16	learning	learning	NOUN
cana-4595	255	17	.	.	PUNCT
cana-4595	256	1	doctoral	doctoral	ADJ
cana-4595	256	2	dissertation	dissertation	NOUN
cana-4595	256	3	,	,	PUNCT
cana-4595	256	4	bournemouth	bournemouth	PROPN
cana-4595	256	5	university	university	NOUN
cana-4595	256	6	.	.	PUNCT
cana-4595	257	1	11	11	NUM
cana-4595	257	2	.	.	X
cana-4595	257	3	mccomb	mccomb	PROPN
cana-4595	257	4	,	,	PUNCT
cana-4595	257	5	m.	m.	NOUN
cana-4595	257	6	c.	c.	PROPN
cana-4595	257	7	(	(	PUNCT
cana-4595	257	8	2020	2020	NUM
cana-4595	257	9	)	)	PUNCT
cana-4595	257	10	.	.	PUNCT
cana-4595	258	1	machine	machine	NOUN
cana-4595	258	2	learning	learning	NOUN
cana-4595	258	3	-	-	PUNCT
cana-4595	258	4	guided	guide	VERB
cana-4595	258	5	,	,	PUNCT
cana-4595	258	6	biomarker	biomarker	NOUN
cana-4595	258	7	-	-	PUNCT
cana-4595	258	8	enabled	enable	VERB
cana-4595	258	9	disease	disease	NOUN
cana-4595	258	10	progression	progression	NOUN
cana-4595	258	11	modeling	modeling	NOUN
cana-4595	258	12	.	.	PUNCT
cana-4595	259	1	doctoral	doctoral	ADJ
cana-4595	259	2	dissertation	dissertation	NOUN
cana-4595	259	3	,	,	PUNCT
cana-4595	259	4	state	state	NOUN
cana-4595	259	5	university	university	PROPN
cana-4595	259	6	of	of	ADP
cana-4595	259	7	new	new	PROPN
cana-4595	259	8	york	york	PROPN
cana-4595	259	9	at	at	ADP
cana-4595	259	10	buffalo	buffalo	PROPN
cana-4595	259	11	.	.	PUNCT
