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<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Numerical solution of nonlinear Fredholm-Volterra integral equations via Bell polynomials</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>88</FirstPage>
			<LastPage>102</LastPage>
			<ELocationID EIdType="pii">5911</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Farshid</FirstName>
					<LastName>Mirzaee</LastName>
<Affiliation>Faculty of Mathematical Sciences and Statistics,
Malayer University, P. O. Box 65719-95863, Malayer, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we propose and analyze an efficient matrix method based on Bell polynomials for numerically solving nonlinear Fredholm- Volterra integral equations. For this aim, first we calculate operational matrix of integration and product based on Bell polynomials. By using these matrices, nonlinear Fredholm-Volterra integral equations reduce to the system of nonlinear algebraic equations which can be solved by an appropriate numerical method such as Newton’s method. Also, we show that the proposed method is convergent. Some examples are provided to illustrate the applicability, efficiency and accuracy of the suggested scheme. Comparison of the proposed method with other previous methods shows that this method is very accurate.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Fredholm-Volterra integral equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bell polynomials</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Collocation method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Operational matrix</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Error analysis</Param>
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<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_5911_e0ade60b77cb2f95092df545478f04e8.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A new approach on studying the stability of evolutionary game dynamics for financial systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>103</FirstPage>
			<LastPage>116</LastPage>
			<ELocationID EIdType="pii">6011</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Narges</FirstName>
					<LastName>Talebi Motlagh</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Rikhtegar Ghiasi</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Farzad</FirstName>
					<LastName>Hashemzadeh</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Sehraneh</FirstName>
					<LastName>Ghaemi</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>10</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>‎Financial market modeling and prediction is a difficult problem and drastic changes of the price causes nonlinear dynamic that makes the price prediction one of the most challenging tasks for economists‎. ‎Since markets always have been interesting for traders‎, ‎many traders with various beliefs are highly active in a market‎. ‎The competition among two agents of traders‎, ‎namely trend followers and rational agents‎, ‎to gain the highest profit in market is formulated as a dynamic evolutionary game‎, ‎where‎, ‎the evolutionary equilibrium is considered to be the solution to this game‎. ‎The evolutionarily stablity of the equilibrium points is investigated inspite of the prediction error of the expectation‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Heterogeneous Agent Model‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Adaptive Belief System‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Evolutionary Game Theory‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Rational Agent‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Evolutionary Stable Strategies</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6011_94343d3d340300caa3f9b4216d2424ef.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Fractional-order Legendre wavelets and their applications for solving fractional-order differential equations with initial/boundary conditions</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>117</FirstPage>
			<LastPage>140</LastPage>
			<ELocationID EIdType="pii">6012</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Parisa</FirstName>
					<LastName>Rahimkhani</LastName>
<Affiliation>Department of Mathematics, Faculty of Mathematical Sciences,
Alzahra University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Yadollah</FirstName>
					<LastName>Ordokhani</LastName>
<Affiliation>Department of Mathematics, Faculty of Mathematical Sciences,
Alzahra University, Tehran, Iran</Affiliation>

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

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>11</Month>
					<Day>10</Day>
				</PubDate>
			</History>
		<Abstract>In this manuscript a new method is introduced for solving fractional differential equations. The fractional derivative is described in the Caputo sense. The main idea is to use fractional-order Legendre wavelets and operational matrix of fractional-order integration. First the fractional-order Legendre wavelets (FLWs) are presented. Then a family of piecewise functions is proposed, based on which the fractional order integration of FLWs are easy to calculate. The approach is used this operational matrix with the collocation points to reduce the under study problem to system of algebraic equations. Convergence of the fractional-order Legendre wavelet basis is demonstrate. Illustrative examples are included to demonstrate the validity and applicability of the technique.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Fractional-order Legendre wavelets</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fractional differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Collocation method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Caputo derivative</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Operational matrix</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6012_41565e9da3ef7f1d50237b20695692e6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Solution of Troesch's problem through double exponential Sinc-Galerkin method</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>141</FirstPage>
			<LastPage>157</LastPage>
			<ELocationID EIdType="pii">6013</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Nabati</LastName>
<Affiliation>Department of Basic Sciences, Abadan Faculty of Petroleum Engineering,
Petroleum University of Technology, Abadan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Jalalvand</LastName>
<Affiliation>Department of Mathematics, Faculty of Mathematical Sciences and Computer,
Shahid Chamran University of Ahvaz, Ahvaz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>Sinc-Galerkin method based upon double exponential transformation for solving Troesch&#039;s problem was given in this study. Properties of the Sinc-Galerkin approach were utilized to reduce the solution of nonlinear two-point boundary value problem to same nonlinear algebraic equations, also, the matrix form of the nonlinear algebraic equations was obtained.The error bound of the method was found. Moreover, in order to illustrate the accuracy of presented method, the obtained results compared with numerical results in the open literature. The demonstrated results confirmed that proposed method was considerably efficient and accurate.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Sinc Function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Galerkin method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Double exponential transformation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Nonlinear Troesch's problem</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">BVP</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6013_7f8f210d6d5b95f23cb319b0f61ae6b7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Existence of triple positive solutions for boundary value problem of nonlinear fractional differential equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>158</FirstPage>
			<LastPage>169</LastPage>
			<ELocationID EIdType="pii">6077</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Kamal</FirstName>
					<LastName>Shah</LastName>
<Affiliation>Department of Mathematics, University of Malakand,
Chakadara Dir(L), Khyber Pakhtunkhwa, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>Salman</FirstName>
					<LastName>Zeb</LastName>
<Affiliation>Department of Mathematics, University of Malakand,
Chakadara Dir(L), Khyber Pakhtunkhwa, Pakistan</Affiliation>

</Author>
<Author>
					<FirstName>Rahmat Ali</FirstName>
					<LastName>Khan</LastName>
<Affiliation>Department of Mathematics, University of Malakand,
Chakadara Dir(L), Khyber Pakhtunkhwa, Pakistan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>01</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>This article is devoted to the study of existence and multiplicity of positive solutions to a class of nonlinear fractional order multi-point boundary value problems of the type&lt;br /&gt;−Dq&lt;br /&gt;0+u(t) = f(t, u(t)), 1 &lt; q ≤ 2, 0 &lt; t &lt; 1,&lt;br /&gt;u(0) = 0, u(1) =&lt;br /&gt;m−2&lt;br /&gt;∑ i&lt;br /&gt;=1&lt;br /&gt;δiu(ηi),&lt;br /&gt;where Dq&lt;br /&gt;0+ represents standard Riemann-Liouville fractional derivative, δi, ηi ∈ (0, 1) with&lt;br /&gt;m−2&lt;br /&gt;∑&lt;br /&gt;i=1&lt;br /&gt;δiηi q−1 &lt; 1, and f : [0, 1] × [0, ∞) → [0, ∞) is a continuous function. We use some classical results of fixed point theory to obtain sufficient conditions for the existence and multiplicity results of positive solutions to the problem under consideration. In order to show the applicability of our results, we provide some examples.</Abstract>
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			<Param Name="value">Fractional differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Boundary value problems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Positive solutions</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Green’s function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fixed point theorem</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6077_786926df406ec4f5042d803915a6e8dd.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A wavelet method for stochastic Volterra integral equations and its application to general stock model</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>170</FirstPage>
			<LastPage>188</LastPage>
			<ELocationID EIdType="pii">6086</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Saeed</FirstName>
					<LastName>Vahdati</LastName>
<Affiliation>Department of Mathematics,
Khansar Faculty of Mathematics and Computer Science, Khansar, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>08</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>In this article,we present a wavelet method for solving stochastic Volterra integral equations based on Haar wavelets. First, we approximate all functions involved in the problem by Haar Wavelets then, by substituting the obtained approximations in the problem, using the It^{o} integral formula and collocation points then, the main problem changes into a system of linear or nonlinear equation which can be solved by some numerical methods like Newton&#039;s or Broyden&#039;s methods. The capability of the simulation of Brownian motion with Schauder functions which are the integration of Haar functions enables us to find some reasonable approximate solutions. Two test examples and the application of the presented method for the general stock model are considered to demonstrate the efficiency, high accuracy and the simplicity of the presented method.</Abstract>
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			<Param Name="value">Wavelets</Param>
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			<Param Name="value">Brownian Motion</Param>
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			<Param Name="value">Stochastic integral equation</Param>
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			<Object Type="keyword">
			<Param Name="value">Stochastic differential equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ito integral</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6086_e150ecd516bdd8b7471d970f4fdb80a1.pdf</ArchiveCopySource>
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