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<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Equidistribution grids for two-parameter convection–diffusion boundary-value problems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>21</LastPage>
			<ELocationID EIdType="pii">99</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Jugal</FirstName>
					<LastName>Mohapatra</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>In this article, we propose an adaptive grid based on mesh equidistribution principle for two-parameter convection-diffusion boundary value problems with continuous and discontinuous data. A numerical algorithm based on an upwind finite difference operator and an appropriate adaptive grid is constructed. Truncation errors are derived for both continuous and discontinuous problems. Parameter uniform error bounds for the discrete solution are established. Numerical examples are carried out to show the performance of the proposed method on the adaptive grids.</Abstract>
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			<Param Name="value">parameter singular perturbation problems</Param>
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			<Param Name="value">boundary and interior layers</Param>
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			<Param Name="value">finite difference methods</Param>
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			<Param Name="value">adaptive grids</Param>
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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Exact and numerical solutions of linear and non-linear systems of fractional partial differential equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>22</FirstPage>
			<LastPage>40</LastPage>
			<ELocationID EIdType="pii">100</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Aminikhah</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Amir Hossein</FirstName>
					<LastName>Refahi Sheikhani</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hadi</FirstName>
					<LastName>Rezazadeh</LastName>
<Affiliation></Affiliation>

</Author>
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				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>The present study introduces a new technique of homotopy perturbation method for the solution of systems of fractional partial differential equations. The proposed scheme is based on Laplace transform and new homotopy perturbation methods. The fractional derivatives are considered in Caputo sense. To illustrate the ability and reliability of the method some examples are provided. The results obtained by the proposed method show that the approach is very efficient, less computational and can be applied to other linear and nonlinear partial differential equations.</Abstract>
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			<Param Name="value">partial differential equation</Param>
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			<Param Name="value">bation method</Param>
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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A numerical algorithm for solving a class of matrix equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>41</FirstPage>
			<LastPage>54</LastPage>
			<ELocationID EIdType="pii">101</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Huamin</FirstName>
					<LastName>Zhang</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Hongcai</FirstName>
					<LastName>Yin</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Rui</FirstName>
					<LastName>Ding</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we present a numerical algorithm for solving matrix equations $(A \otimes B)X = F$  by extending the well-known Gaussian elimination for $Ax = b$. The proposed algorithm has a high computational efficiency. Two numerical examples are provided to show the effectiveness of the proposed algorithm.</Abstract>
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			<Param Name="value">aussian elimination</Param>
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			<Param Name="value">Kronecker product</Param>
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			<Param Name="value">matrix equation</Param>
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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Basic results on distributed order fractional hybrid differential equations with linear perturbations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>55</FirstPage>
			<LastPage>73</LastPage>
			<ELocationID EIdType="pii">102</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Noroozi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Alireza</FirstName>
					<LastName>Ansari</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>In this article, we develop the distributed order fractional hybrid differential equations (DOFHDEs) with linear perturbations involving the fractional Riemann-Liouville derivative of order $0 &lt; q &lt; 1$ with respect to a nonnegative density function. Furthermore, an existence theorem for the fractional hybrid differential equations of distributed order is proved under the mixed $\varphi$-Lipschitz and Caratheodory conditions. Some basic fractional differential inequalities of distributed order are utilized to prove the existence of extremal solutions and comparison principle</Abstract>
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			<Param Name="value">Fractional hybrid differential equations</Param>
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			<Param Name="value">extremal solutions</Param>
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			<Param Name="value">Banach algebra</Param>
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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Arrival probability in the stochastic networks with an established discrete time Markov chain</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>74</FirstPage>
			<LastPage>89</LastPage>
			<ELocationID EIdType="pii">103</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Gholam Hassan</FirstName>
					<LastName>Shirdel</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Mohsen</FirstName>
					<LastName>Abdolhosseinzadeh</LastName>
<Affiliation></Affiliation>

</Author>
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				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>The probable lack of some arcs and nodes in the stochastic networks is considered in this paper, and its effect is shown as the arrival probability from a given source node to a given sink node. A discrete time Markov chain with an absorbing state is established in a directed acyclic network. Then, the probability of transition from the initial state to the absorbing state is computed. It is assumed to have some wait states, if there is a physical connection but not any immediate communication between two nodes. The Numerical results show, the critical nodes and arcs are detected by the proposed method and it can be used to anticipate probable congestion in communication and transportation networks.</Abstract>
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			<Param Name="value">unstable networks</Param>
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			<Param Name="value">stochastic shortest path</Param>
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			<Param Name="value">discrete time Markov chain</Param>
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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>2</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Convergence of the multistage variational iteration method for solving a general system of ordinary differential equations</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>90</FirstPage>
			<LastPage>106</LastPage>
			<ELocationID EIdType="pii">104</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Bastani</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, the multistage variational iteration method is implemented to solve a general form of the system of first-order differential equations. The convergence of the proposed method is given. To illustrate the proposed method, it is applied to a model for HIV infection of CD4+ T cells and the numerical results are compared with those of a recently proposed method.</Abstract>
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			<Param Name="value">HIV infection of CD4+ T cells</Param>
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			<Param Name="value">Adomian decomposition method</Param>
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