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<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analysis of non-hyperbolic equilibria for Caputo fractional system</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>298</FirstPage>
			<LastPage>306</LastPage>
			<ELocationID EIdType="pii">12510</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.41486.1799</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Marvin</FirstName>
					<LastName>Hoti</LastName>
<Affiliation>Department of Mathematics, Ryerson University, Toronto, Canada.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>08</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>In this manuscript, a center manifold reduction of the flow of a non-hyperbolic equilibrium point on a planar dynamical system with the Caputo derivative is proposed. The stability of the non-hyperbolic equilibrium point is shown to be locally asymptotically stable, under suitable conditions, by using the fractional Lyapunov direct method.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Caputo derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Center manifold</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12510_78e1cfe36fbe222efcf7023c745cd3c8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An efficient approximate solution of Riesz fractional advection-diffusion equation</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>307</FirstPage>
			<LastPage>319</LastPage>
			<ELocationID EIdType="pii">12721</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.41690.1815</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Siavash</FirstName>
					<LastName>Mockary</LastName>
<Affiliation>Department of Mathematics, College of Science, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Vahidi</LastName>
<Affiliation>Department of Mathematics, College of Science, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Esmail</FirstName>
					<LastName>Babolian</LastName>
<Affiliation>Faculty of Mathematical Sciences and Computer, Kharazmi University, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>09</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>The Riesz fractional advection-diffusion is a result of the mechanics of chaotic dynamics. It’s of preponderant importance to solve this equation numerically. Moreover, the utilization of Chebyshev polynomials as a base in several mathematical equations shows the exponential rate of convergence. To this approach, we transform the interval of state space into the interval [−1, 1] × [−1, 1]. Then, we use the operational matrix to discretize fractional operators. Applying the resulting discretization, we obtain a linear system of equations, which leads to the numerical solution. Examples show the effectiveness of the method.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Operational matrices</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Chebyshev polynomials</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fractional partial differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Riesz fractional advection-diffusion</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12721_1cb3cc01abce405e339fc8c370263ba6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>PDTM approach to solve Black Scholes equation for powered ML-Payoff function</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>320</FirstPage>
			<LastPage>326</LastPage>
			<ELocationID EIdType="pii">12687</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.37944.1675</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sanjay J</FirstName>
					<LastName>Ghevariya</LastName>
<Affiliation>Department of Mathematics, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>01</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, the Projected Differential Transform Method (PDTM) has been used to solve the Black Scholes differential equation for powered Modified Log Payoff (ML-Payoff) functions,$\max\{S^k\ln\big(\frac{S}{K}\big),0\}$ and $\max\{S^k\ln\big(\frac{K}{S}\big),0\}‎, ‎(k\in \mathbb{R^{+}}\cup \{0\})$‎. It is the generalization of Black Scholes model for ML-Payoff functions. It can be seen that values from PDTM are quite accurate to the closed form solutions.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Black Scholes formulas</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Projected Differential Transform Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ML-Payoff functions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">plain vanilla options</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12687_bd0fb67a478cc54c9685c69a53ce6fbf.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical solution of optimal control problem for economic growth model using RBF collocation method</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>327</FirstPage>
			<LastPage>337</LastPage>
			<ELocationID EIdType="pii">12688</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.40223.1757</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ahmad</FirstName>
					<LastName>Golbabai</LastName>
<Affiliation>School of Mathematics, Iran University of
Science and Technology, Narmak, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Nima</FirstName>
					<LastName>Safaei</LastName>
<Affiliation>School of Mathematics, Iran University of
Science and Technology, Narmak, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mahboubeh</FirstName>
					<LastName>Molavi-Arabshahi</LastName>
<Affiliation>School of Mathematics, Iran University of
Science and Technology, Narmak, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>In the current paper, for the economic growth model, an efficient numerical approach on arbitrary collocation points is described according to Radial Basis Functions (RBFs) interpolation to approximate the solutions of optimal control problems. The proposed method is based on parametrizing the solutions with any arbitrary global RBF and transforming the optimal control problem into a constrained optimization problem using arbitrary collocation points. The superiority of the method is its flexibility to select between different RBF functions for the interpolation and also parametrization an extensive range of arbitrary nodes. The Lagrange multipliers method is employed to convert the constrained optimization problem into a system of algebraic equations. Numerical results approve the accuracy and performance of the presented method for solving optimal control problems in the economic growth model. </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Optimal control problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Economic growth model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">RBF collocation method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lagrange multipliers</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12688_cef306a8c797e612ec8f4374c8652e0c.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Studying the thermal analysis of rectangular cross section porous fin: A numerical approach</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>338</FirstPage>
			<LastPage>350</LastPage>
			<ELocationID EIdType="pii">12511</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.37458.1669</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Waleed</FirstName>
					<LastName>Adel</LastName>

						<AffiliationInfo>
						<Affiliation>Department of Mathematics and Engineering Physics, Faculty of Engineering, Mansoura University, Egypt.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Université Française d’Egypte, Ismailia Desert Road, El Shorouk, Cairo, Egypt.</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Ahmet</FirstName>
					<LastName>Yildirim</LastName>
<Affiliation>Department of Mathematics, Faculty of Science, Ege University, 35100 Izmir, Bornova, Turkey.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>01</Month>
					<Day>09</Day>
				</PubDate>
			</History>
		<Abstract>In this work, a direct computational method has been developed for solving the thermal analysis of porous fins with a rectangular cross-section with the aid of Chebyshev polynomials. The method transforms the nonlinear differential equation into a system of nonlinear algebraic equations and then solved using a novel technique. The solution of the system gives the unknown Chebyshev coefficients. An algorithm for solving this nonlinear system is presented. The results are obtained for different values of the variables and a comparison with other methods is made to demonstrate the effectiveness of the method. </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Numerical</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Porous Fin</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Thermal Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Collocation method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12511_d07029a4829d907065e534dadd823f2a.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Application of fuzzy systems on the numerical solution of the elliptic PDE-constrained optimal control problems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>351</FirstPage>
			<LastPage>371</LastPage>
			<ELocationID EIdType="pii">12766</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.39351.1725</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Masoomeh</FirstName>
					<LastName>Azizi</LastName>
<Affiliation>Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Majid</FirstName>
					<LastName>Amirfakhrian</LastName>

						<AffiliationInfo>
						<Affiliation>Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Department of Computer Sciences, University of Calgary, Calgary, Canada.</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Mohammad Ali</FirstName>
					<LastName>Fariborzi Araghi</LastName>
<Affiliation>Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>04</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>This paper presents a numerical fuzzy indirect method based on the fuzzy basis functions technique to solve an optimal control problem governed by Poisson’s differential equation. The considered problem may or may not be accompanied by a control box constraint. The first-order necessary optimality conditions have been derived, which may contain a variational inequality in function space. In the presented method, the obtained optimality conditions have been discretized using fuzzy basis functions and a system of equations introduced as the discretized optimality conditions. The derived system mostly contains some nonsmooth equations and conventional system solvers fail to solve them. A fuzzy system-based semi-smooth Newton method has also been introduced to deal with the obtained system. Solving optimality systems by the presented method gets us unknown fuzzy quantities on the state and control fuzzy expansions. Finally, some test problems have been studied to demonstrate the efficiency and accuracy of the presented fuzzy numerical technique.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Optimal Control Problems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fuzzy system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy basis functions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Universal approximation properties</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">poisson’s equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Optimality conditions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Semi-smooth Newton method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12766_01cc12fed9c21ba63ee80b3fd2fac58c.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Fractional study on heat and mass transfer of MHD Oldroyd-B fluid with ramped velocity and temperature</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>372</FirstPage>
			<LastPage>395</LastPage>
			<ELocationID EIdType="pii">12288</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.39703.1739</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Nazish</FirstName>
					<LastName>Iftikhar</LastName>
<Affiliation>Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Lahore Campus, Pakistan.</Affiliation>

</Author>
<Author>
					<FirstName>Syed Tauseef</FirstName>
					<LastName>Saeed</LastName>
<Affiliation>Department of Sciences and Humanities, National University of Computer and Emerging Sciences, Lahore Campus, Pakistan.</Affiliation>

</Author>
<Author>
					<FirstName>Muhammad Bilal</FirstName>
					<LastName>Riaz</LastName>

						<AffiliationInfo>
						<Affiliation>Department of Mathematics, University of Management and Technology, Pakistan.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Institute of Grounderwater Studies, University of the Free State, South Africa.</Affiliation>
						</AffiliationInfo>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>05</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>‎This study explores the time-dependent flow of MHD Oldroyd-B fluid under the effect of ramped wall velocity and temperature‎. ‎The flow is confined to an infinite vertical plate embedded in a permeable surface with the impact of heat generation and thermal radiation‎. ‎Solutions of velocity‎, ‎temperature‎, ‎and concentration are derived symmetrically by applying non-dimensional parameters along with Laplace transformation $(LT)$ and numerical inversion algorithm‎. Graphical results for different physical constraints are produced for the velocity‎, ‎temperature‎, ‎and concentration profiles‎. ‎Velocity and temperature profile decrease by increasing the effective Prandtl number‎. ‎The existence of an effective Prandtl number may reflect the control of the thickness of momentum and enlargement of thermal conductivity‎. ‎Velocity is decreasing for $\kappa$‎, ‎$M$‎, ‎$Pr_{reff,}$ and $S_{c}$ while increasing for $G_{r}$ and $G_{c}$‎. ‎Temperature is an increasing function of the fractional parameter‎. ‎Additionally‎, ‎Atangana-Baleanu $(ABC)$ model is good to explain the dynamics of fluid with better memory effect as compared to other fractional operators‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Oldroyd-B fluid</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fractional differential operator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ramped velocity and temperature</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12288_b8aacd078bc8ae25b736b0c1fc6a9837.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>New analytical methods for solving a class of conformable fractional differential equations by fractional Laplace transform</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>396</FirstPage>
			<LastPage>407</LastPage>
			<ELocationID EIdType="pii">12690</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.40834.1775</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Molaei</LastName>
<Affiliation>Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Farhad</FirstName>
					<LastName>Dastmalchi Saei</LastName>
<Affiliation>Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Javidi</LastName>

						<AffiliationInfo>
						<Affiliation>Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran.</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Yaghoub</FirstName>
					<LastName>Mahmoudi</LastName>
<Affiliation>Department of Mathematics, Tabriz Branch, Islamic Azad University, Tabriz, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>07</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, new analytical solutions for a class of conformable fractional differential equations (CFDEs) and some more results about Laplace transform introduced by Abdeljawad are investigated. The Laplace transform method is developed to get the exact solution of CFDEs. The aim of this paper is to convert the CFDEs into ordinary differential equations (ODEs), this is done by using the fractional Laplace transform of (α + β) order.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Conformable fractional differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fractional Laplace transform</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exact analytical solutions</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12690_1865b21558efdf28ea0e8ace634e010e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Shifted Jacobi collocation method for Volterra-Fredholm integral equation</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>408</FirstPage>
			<LastPage>418</LastPage>
			<ELocationID EIdType="pii">12796</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.38146.1680</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Amany Saad</FirstName>
					<LastName>Mohamed</LastName>
<Affiliation>Department of Mathematics,
Faculty of Science, Helwan University, Egypt.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>01</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we compute the approximate numerical solution for the Volterra-Fredholm integral equation (VFIE) by using the shifted Jacobi collocation (SJC) method which depends on the operational matrices. Some properties of the shifted Jacobi polynomials are introduced. These properties allow us to transform the VolterraFredholm integral equation into a system of algebraic equations in a nice form with the expansion coefficients of the solution. Also, the convergence and error analysis are studied extensively. Finally, some examples which verify the efficiency of the given method are supplied and compared with other methods. </Abstract>
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			<Param Name="value">shifted Jacobi polynomials</Param>
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			<Object Type="keyword">
			<Param Name="value">Collocation method</Param>
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			<Object Type="keyword">
			<Param Name="value">Volterra-Fredholm integral equation</Param>
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			<Object Type="keyword">
			<Param Name="value">convergence and error analysis</Param>
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</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Stochastic analysis and invariant subspace method for handling option pricing with numerical simulation</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>419</FirstPage>
			<LastPage>430</LastPage>
			<ELocationID EIdType="pii">12707</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.38468.1692</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Hejazi</LastName>
<Affiliation>Faculty of mathematical sciences, Shahrood university of technology, Shahrood, Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Dastranj</LastName>
<Affiliation>Faculty of mathematical sciences, Shahrood university of technology, Shahrood, Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Noora</FirstName>
					<LastName>Habibi</LastName>
<Affiliation>Faculty of mathematical sciences, Shahrood university of technology, Shahrood, Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Azadeh</FirstName>
					<LastName>Naderifard</LastName>
<Affiliation>Faculty of mathematical sciences, Shahrood university of technology, Shahrood, Semnan, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>02</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, option pricing is given via stochastic analysis and invariant subspace method. Finally numerical solutions is driven and shown via diagram. The considered model is one of the most well known non-linear time series model in which the switching mechanism is controlled by an unobservable state variable that follows a first-order Markov chain. Some analytical solutions for option pricing are given under our considered model. Then numerical solutions are presented via finite difference method. </Abstract>
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			<Object Type="keyword">
			<Param Name="value">Markov chain</Param>
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			<Object Type="keyword">
			<Param Name="value">Geometric Brownian motion</Param>
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			<Object Type="keyword">
			<Param Name="value">finite difference method</Param>
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<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12707_f94c97ceb397384b05b4a404ceb7e6d0.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical solution of space fractional diffusion equation using shifted Gegenbauer polynomials</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>431</FirstPage>
			<LastPage>444</LastPage>
			<ELocationID EIdType="pii">12221</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2020.42106.1818</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Kazeem</FirstName>
					<LastName>Issa</LastName>
<Affiliation>Department of Statistics and Mathematical Sciences, Kwara State University, Malete, Nigeria.</Affiliation>

</Author>
<Author>
					<FirstName>Babatunde M.</FirstName>
					<LastName>Yisa</LastName>
<Affiliation>Department of Mathematics, University of Ilorin, Ilorin, Nigeria.</Affiliation>

</Author>
<Author>
					<FirstName>Jafar</FirstName>
					<LastName>Biazar</LastName>
<Affiliation>Department of Mathematical Sciences, University of Guilan, Rasht, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>10</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>This paper is concerned with numerical approach for solving space fractional diffusion equation using shifted Gegenbauer polynomials, where the fractional derivatives are expressed in Caputo sense. The properties of Gegenbauer polynomials are exploited to reduce space fractional diffusion equation to a system of ordinary differential equations, that are then solved using finite difference method. Some selected numerical simulations of space fractional diffusion equations are presented and the results are compared with the exact solution, also with the results obtained via other methods in the literature. The comparison reveals that the proposed method is reliable, effective and accurate. All the computations were carried out using Matlab package. </Abstract>
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			<Param Name="value">Gegenbauer polynomial</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Caputo derivative</Param>
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			<Object Type="keyword">
			<Param Name="value">Fractional diffusion equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">finite difference method</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12221_076547f1cc5f7ba9dcca97c63c0840ec.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Some new soliton solutions for the nonlinear the fifth-order integrable equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>445</FirstPage>
			<LastPage>460</LastPage>
			<ELocationID EIdType="pii">12218</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2020.30833.1462</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehrdad</FirstName>
					<LastName>Lakestani</LastName>
<Affiliation>Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Jalil</FirstName>
					<LastName>Manafian</LastName>
<Affiliation>Department of Applied Mathematics, Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Ali Reza</FirstName>
					<LastName>Najafizadeh</LastName>
<Affiliation>Department of Mathematics, Payame Noor University, P.O. Box 19395-3697, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Partohaghighi</LastName>
<Affiliation>Department of Mathematics, University of Bonab, Bonab, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>12</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>‎In this work‎, ‎we established some exact solutions for the‎ $(1+1)$-dimensional and $(2+1)$-dimensional fifth-order integrable‎ equations ($(1+1)$D and $(2+1)$D FOIEs) which is considered based on‎ the improved $\tanh(\phi(\xi)/2)$ expansion method (IThEM)‎, ‎by‎ utilizing Maple software‎. ‎We obtained new periodic solitary wave‎ ‎solutions‎. ‎The obtained solutions include soliton‎, ‎periodic‎, ‎kink‎, kink-singular wave solutions‎. ‎Comparing our new results with Wazwaz‎ results‎, ‎namely‎, ‎the Hereman-Nuseri method shows that our results give‎ further solutions‎. ‎Many other such types of nonlinear equations‎ arise in fluid dynamics‎, ‎plasma ‎physics,‎ and nonlinear physics‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Improved tanh(ϕ/2)-expansion method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fifth-order integrable equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Soliton wave solution</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12218_662e8f57484e2b59730502a4b3c2b042.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Exact solutions and numerical simulation for Bakstein-Howison model</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>461</FirstPage>
			<LastPage>474</LastPage>
			<ELocationID EIdType="pii">12764</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.42640.1834</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Dastranj</LastName>
<Affiliation>Faculty of Mathematical Sciences, Shahrood university of technology, Shahrood,
Semnan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Sahebi Fard</LastName>
<Affiliation>Faculty of Mathematical Sciences,
Shahrood university of technology, Shahrood, Semnan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>11</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, European options with transaction cost under some Black-Scholes markets are priced. In fact, stochastic analysis and Lie group analysis are applied to find exact solutions for European options pricing under considered markets. In the sequel, using the finite difference method, numerical solutions are presented as well. Finally, European options pricing are presented in four maturity times under some Black-Scholes models equipped with the gold asset as underlying asset. For this, the daily gold world price has been followed from Jan 1, 2016 to Jan 1, 2019 and the results of the profit and loss of options under the considered models indicate that call options prices prevent arbitrage opportunity but put options create it. </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Black-Scholes models</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Transaction cost</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lie symmetries</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">finite difference method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12764_4d68a8f1607e125472eceffd9b129b95.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Robust computational method for singularly perturbed delay parabolic convection-diffusion equations arising in the modeling of neuronal variability</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>475</FirstPage>
			<LastPage>488</LastPage>
			<ELocationID EIdType="pii">12797</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.44306.1873</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Imiru Takele</FirstName>
					<LastName>Daba</LastName>
<Affiliation>Department of Mathematics, Wollega University, Nekemte, Ethiopia.</Affiliation>

</Author>
<Author>
					<FirstName>Gemechis File</FirstName>
					<LastName>Duressa</LastName>
<Affiliation>Department of Mathematics, Jimma University, Jimma, Ethiopia.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>01</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		<Abstract>‎In this study‎, ‎a robust computational method involving exponential cubic spline for solving singularly perturbed parabolic convection-diffusion equations arising in the modeling of neuronal variability has been presented‎. ‎Some numerical examples are considered to validate the theoretical findings‎. ‎The proposed scheme is shown to be an $\varepsilon-$uniformly convergent accuracy of order $ O\left( \left( \Delta t\right)‎ +‎h^2 \right) $‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Singularly perturbed problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exponential cubic spline method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">implicit Euler method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Delay parabolic differential equation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12797_0ce1b865e3f8ad5955d7c1541d608a5c.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An adaptive Monte Carlo algorithm for European and American options</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>489</FirstPage>
			<LastPage>501</LastPage>
			<ELocationID EIdType="pii">12765</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.37369.1654</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mahboubeh</FirstName>
					<LastName>Aalaei</LastName>
<Affiliation>Insurance Research Center,
Saadat Abad, Tehran, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mahnaz</FirstName>
					<LastName>Manteqipour</LastName>
<Affiliation>Insurance Research Center,
Saadat Abad, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>12</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, a new adaptive Monte Carlo algorithm is proposed to solve systems of linear algebraic equations (SLAEs). The corresponding properties of the algorithm and its advantages over the conventional and previous adaptive Monte Carlo algorithms are discussed and theoretical results are established to justify the convergence of the algorithm. Furthermore, the algorithm is used to solve the SLAEs obtained from finite difference method for the problem of European and American options pricing. Numerical tests are performed on examples with matrices of different sizes and on SLAEs coming from option pricing problems. Comparisons with standard numerical and stochastic algorithms are also done which demonstrate the computational efficiency of the proposed algorithm. </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Adaptive Monte Carlo algorithm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">finite difference method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Black Scholes model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">European and American put option</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12765_f6369f11391e2c9862d43d0e0ccfcf0e.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Uniformly convergent fitted operator method for singularly perturbed delay differential equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>502</FirstPage>
			<LastPage>518</LastPage>
			<ELocationID EIdType="pii">12977</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.41166.1789</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mesfin Mekuria</FirstName>
					<LastName>Woldaregay</LastName>
<Affiliation>Department of Applied Mathematics, Adama Science and Technology University, Adama, Ethiopia.</Affiliation>

</Author>
<Author>
					<FirstName>Habtamu Garoma</FirstName>
					<LastName>Debela</LastName>
<Affiliation>Department of Mathematics, Jimma University, Jimma, Ethiopia.</Affiliation>

</Author>
<Author>
					<FirstName>Gemechis File</FirstName>
					<LastName>Duressa</LastName>
<Affiliation>Department of Mathematics, Jimma University, Jimma, Ethiopia.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>08</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>This paper deals with the numerical treatment of singularly perturbed delay differential equations having a delay on the first derivative term. The solution of the considered problem exhibits boundary layer behavior on the left or right side of the domain depending on the sign of the convective term. The term with the delay is approximated using Taylor series approximation, resulting in an asymptotically equivalent singularly perturbed boundary value problem. The uniformly convergent numerical scheme is developed using exponentially fitted finite difference method. The stability of the scheme is investigated using solution bound. The uniform convergence of the scheme is discussed and proved. Numerical examples are considered to validate the theoretical analysis. </Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">fitted operator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Singularly perturbed problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">uniform convergence</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12977_8b19ddf041d364852e4352dfa5cd2e42.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The interior inverse boundary value problem for the impulsive Sturm-Liouville operator with the spectral boundary conditions</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>519</FirstPage>
			<LastPage>525</LastPage>
			<ELocationID EIdType="pii">12512</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.34215.1567</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Yasser</FirstName>
					<LastName>Khalili</LastName>
<Affiliation>Department of Basic Sciences, Sari Agricultural Sciences and Natural Resources University, 578 Sari, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Khaleghi Moghadam</LastName>
<Affiliation>Department of Basic Sciences, Sari Agricultural Sciences and Natural Resources University, 578 Sari, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>06</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>In this study, we discuss the inverse problem for the Sturm-Liouville operator with the impulse and with the spectral boundary conditions on the finite interval (0, π). By taking the Mochizuki-Trooshin’s method, we have shown that some information of eigenfunctions at some interior point and parts of two spectra can uniquely determine the potential function q(x) and the boundary conditions.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">. Inverse problem</Param>
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			<Object Type="keyword">
			<Param Name="value">Sturm-Liouville operator with the impulse</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Spectral boundary condition</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Spectrum</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12512_e3229972f960011cca2d9282270e602f.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A meshless technique based on the radial basis functions for solving systems of partial differential equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>526</FirstPage>
			<LastPage>537</LastPage>
			<ELocationID EIdType="pii">12706</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.39707.1740</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehran</FirstName>
					<LastName>Nemati</LastName>
<Affiliation>Department of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mahmoud</FirstName>
					<LastName>Shafiee</LastName>
<Affiliation>Department of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Hamideh</FirstName>
					<LastName>Ebrahimi</LastName>
<Affiliation>Department of Mathematics, Rasht Branch, Islamic Azad University, Rasht, Iran.</Affiliation>
<Identifier Source="ORCID">0000-0003-2209-8486</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>The radial basis functions (RBFs) methods were first developed by Kansa to approximate partial differential equations (PDEs). The RBFs method is being truly meshfree becomes quite appealing, owing to the presence of distance function, straight-forward implementation, and ease of programming in higher dimensions. Another considerable advantage is the presence of a tunable free shape parameter, contained in most of the RBFs that control the accuracy of the RBFs method. Here, the solution of the two-dimensional system of nonlinear partial differential equations is examined numerically by a Global Radial Basis Functions Collocation Method (GRBFCM). It can work on a set of random or uniform nodes with no need for element connectivity of input data. For the timedependent partial differential equations, a system of ordinary differential equations (ODEs) is derived from this scheme. Like some other numerical methods, a comparison between numerical results with analytical solutions is implemented confirming the efficiency, accuracy, and simple performance of the suggested method.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Global meshless method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Radial basis functions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Method of lines</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">partial differential equations</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12706_95aabe31aadbfad3e850c2daa243f89a.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>The convergence of exponential Euler method for weighted fractional stochastic equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>538</FirstPage>
			<LastPage>548</LastPage>
			<ELocationID EIdType="pii">12794</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.41430.1795</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Mahmoudi</LastName>
<Affiliation>Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mahdieh</FirstName>
					<LastName>Tahmasebi</LastName>
<Affiliation>Department of Mathematical Sciences, Tarbiat Modares University, P.O. Box 14115-134, Tehran, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>08</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>‎In this paper‎, ‎we propose an exponential Euler method to approximate the solution of a stochastic functional differential equation driven by weighted fractional Brownian motion $ B^{ a‎, ‎b}$ under some assumptions on $a$ and $b$‎. ‎We obtain also the convergence rate of the method to the true solution after proving an $L^{ 2}$-maximal bound for the stochastic integrals in this case‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Malliavin calculus</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stochastic differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Weighted fractional Brownian motion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exponential Euler scheme</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12794_63e5ebfb2f5b736dd0e94eb97dd84996.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>10</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Dynamics of combined soliton solutions of unstable nonlinear fractional-order Schrödinger equation by beta-fractional derivative</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>549</FirstPage>
			<LastPage>566</LastPage>
			<ELocationID EIdType="pii">12689</ELocationID>
			
<ELocationID EIdType="doi">10.22034/cmde.2021.40523.1766</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Majid</FirstName>
					<LastName>Bagheri</LastName>
<Affiliation>Faculty of Science, Department of Applied Mathematics,
Azarbaijan Shahid Madani University, Tabriz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Khani</LastName>
<Affiliation>Faculty of Science, Department of Applied Mathematics,
Azarbaijan Shahid Madani University, Tabriz, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>In this article, a new version of the trial equation method is suggested. This method allows new exact solutions of the nonlinear partial differential equations. The developed method is applied to unstable nonlinear fractionalorder Schrödinger equation in fractional time derivative form of order α. Some exact solutions of the fractionalorder fractional PDE are attained by employing the new powerful expansion approach using by beta-fractional derivatives which are used to get many solitary wave solutions by changing various parameters. New exact solutions are expressed with rational hyperbolic function solutions, rational trigonometric function solutions, 1-soliton solutions, dark soliton solitons, and rational function solutions. We can say that unstable nonlinear Schrödinger equation exist different dynamical behaviors. In addition, the physical behaviors of these new exact solutions are given with two and three dimensional graphs.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Unstable nonlinear fractional-order Schrödinger equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Beta-fractional derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">New powerful expansion approach</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nonlinear partial differential equations</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_12689_ce2d4326c4cd5a7ce82c118b442d2f91.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
