ORIGINAL_ARTICLE Perishable Inventory Model with Retrial Demands, Negative Customers and Multiple Working Vacations This paper presents the analysis of a continuous review perishable inventory system wherein the life time of each item follows an exponential distribution. The operating policy is (s,S) policy where the ordered items are received after a random time which follows exponential distribution. Primary arrival follows Poisson distribution and they may turnout to be positive or negative and then enter into the orbit. The orbiting demands compete their service according to exponential distribution. The server takes multiple working vacations at zero inventory. We assume that the vacation time, service times both during regular busy period and vacation period are exponentially distributed. Matrix analytic method is used for the steady state distribution of the model. Various performance measures and cost analysis are shown with numerical results. http://ijm2c.iauctb.ac.ir/article_663719_74a04f952743d47057405a453e8ee2f5.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 239 254 Perishable inventory (s,S) policy Retrial demands Negative customers Multiple working vacations Matrix analytic method Vijaya Laxmi Pikkala vijaya_iit2003@yahoo.co.in true 1 Department of Applied Mathematics, Andhra University, Visakhapatnam, India. Pin- 530003 Department of Applied Mathematics, Andhra University, Visakhapatnam, India. Pin- 530003 Department of Applied Mathematics, Andhra University, Visakhapatnam, India. Pin- 530003 LEAD_AUTHOR Soujanya M.L. logintosouji@gmail.com true 2 Department of Applied mathematics, Andhra University, Visakhapatnam, India. 530003 Department of Applied mathematics, Andhra University, Visakhapatnam, India. 530003 Department of Applied mathematics, Andhra University, Visakhapatnam, India. 530003 AUTHOR
ORIGINAL_ARTICLE A Note on Solving Prandtl's Integro-Differential Equation A simple method for solving Prandtl's integro-differential equation is proposed based on a new reproducing kernel space. Using a transformation and modifying the traditional reproducing kernel method, the singular term is removed and the analytical representation of the exact solution is obtained in the form of series in the new reproducing kernel space. Compared with known investigations, its advantages are that the representation of the exact solution is obtained in a reproducing kernel Hilbert space and accuracy in numerical computation is higher. On the other hand, the approximate solution and its derivatives converge uniformly to the exact solution and its derivatives. The final numerical experiments illustrate the method is efficient. http://ijm2c.iauctb.ac.ir/article_663720_6a00cedc563dbd4cbf3740983dbeadfa.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 255 263 Reproducing Kernel Space Singular integro-differential equation of Prandtl's type Hypersingular integral equation Error estimation Atta Dezhbord dezhbord22.ata@gmail.com true 1 Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran LEAD_AUTHOR Taher Lotfi lotfi@iauh.ac.ir true 2 Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan 65138, Iran AUTHOR
ORIGINAL_ARTICLE The Tau-Collocation Method for Solving Nonlinear Integro-Differential Equations and Application of a Population Model This paper presents a computational technique that called Tau-collocation method for the developed solution of non-linear integro-differential equations which involves a population model. To do this, the nonlinear integro-differential equations are transformed into a system of linear algebraic equations in matrix form without interpolation of non-poly-nomial terms of equations. Then, using collocation points, we solve this system and obtain the unknown coefficients. To illustrate the ability and reliability of the method some nonlinear integro-differential equations and population models are presented. The results reveal that the method is very effective and simple. http://ijm2c.iauctb.ac.ir/article_663721_353c22ebe2793b8fbeb23498bb5e8212.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 265 276 Nonlinear integro-differential equation Tau-Collocation method Matrix representation Population model Collocation point Atefeh Armand atefeh.armand@ymail.com true 1 Dep. Math, Yadegar imam khomeini (rah) shahre Rey, IAU Dep. Math, Yadegar imam khomeini (rah) shahre Rey, IAU Dep. Math, Yadegar imam khomeini (rah) shahre Rey, IAU LEAD_AUTHOR Zienab Gouyandeh zgouyandeh@yahoo.com true 2 Dep. Math, Najaf Abad, IAU Dep. Math, Najaf Abad, IAU Dep. Math, Najaf Abad, IAU AUTHOR
ORIGINAL_ARTICLE Numerical Solution of Nonlinear PDEs by Using Two-Level Iterative Techniques and Radial Basis Functions ‎Radial basis function method has been used to handle linear and‎ ‎nonlinear equations‎. ‎The purpose of this paper is to introduce the method of RBF to‎ ‎an existing method in solving nonlinear two-level iterative‎ ‎techniques and also the method is implemented to four numerical‎ ‎examples‎. ‎The results reveal that the technique is very effective‎ ‎and simple. The main property of the method lies in its‎ ‎flexibility and ability to solve nonlinear equations accurately‎ ‎and conveniently. http://ijm2c.iauctb.ac.ir/article_663722_85f8d1cd2ae961e6b1660c564c8fb4fc.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 277 285 ‎First-order evolution equations‎ ‎Two-level‎ ‎iterative techniques‎ ‎Radial basis function‎ ‎Newton's method for‎ ‎nonlinear equations‎ Sara Hosseini s_hosseini66@yahoo.com true 1 Qazvin Branch, Islamic Azad University Qazvin Branch, Islamic Azad University Qazvin Branch, Islamic Azad University LEAD_AUTHOR
ORIGINAL_ARTICLE Solving Differential Equations by Using a Combination of the First Kind Chebyshev Polynomials and Adomian Decomposition Method In this paper, we are going to solve a class of ordinary diﬀerential equations that its source term are rational functions. We obtain the best approximation of source term by Chebyshev polynomials of the ﬁrst kind, then we solve the ordinary diﬀerential equations by using the Adomian decomposition method http://ijm2c.iauctb.ac.ir/article_663723_ad2ef8504ccc52c51015209991a03290.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 287 297 Polynomials Chebyshev Adomian decomposition method Initial value problems Best polynomial approximation hasan barzegar kelishami hbk.math@gmail.com true 1 Department of Mathematics&amp;lrm;, &amp;lrm;Islamic Azad University&amp;lrm;, &amp;lrm;Central Tehran Branch&amp;lrm;, &amp;lrm;Tehran&amp;lrm;, &amp;lrm;Iran Department of Mathematics&amp;lrm;, &amp;lrm;Islamic Azad University&amp;lrm;, &amp;lrm;Central Tehran Branch&amp;lrm;, &amp;lrm;Tehran&amp;lrm;, &amp;lrm;Iran Department of Mathematics&amp;lrm;, &amp;lrm;Islamic Azad University&amp;lrm;, &amp;lrm;Central Tehran Branch&amp;lrm;, &amp;lrm;Tehran&amp;lrm;, &amp;lrm;Iran LEAD_AUTHOR
ORIGINAL_ARTICLE Approximation of a Fuzzy Function by Using Radial Basis Functions Interpolation In the present paper, Radial Basis Function interpolations are applied to approximate a fuzzy function $\tilde{f}:\R\rightarrow \mathcal{F}(\R)$, on a discrete point set $X=\{x_1,x_2,\ldots,x_n\}$, by a fuzzy-valued function $\tilde{S}$. RBFs are based on linear combinations of terms which include a single univariate function. Applying RBF to approximate a fuzzy function, a linear system will be obtained which by defining coefficient vector, target function will be approximated. Finally for showing the efficiency of the method we give some numerical examples. http://ijm2c.iauctb.ac.ir/article_663724_ce48161f971bb5d8d6495499424c47cf.pdf 2017-11-01T11:23:20 2020-04-05T11:23:20 299 307 Radial Basis Function interpolation fuzzy function fuzzy-valued function an approximation of a fuzzy function Reza Firouzdor r.firouzdor2016@gmail.com true 1 university university university AUTHOR Majid Amirfakhrian majiamir@yahoo.com true 2 IAUCTB IAUCTB IAUCTB LEAD_AUTHOR