2012
DOI: 10.5923/j.ajcam.20120203.06
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Solving Partial Integro-Differential Equations Using Laplace Transform Method

Abstract: Partialintegro-differential equations (PIDE) occur naturally in various fields of science, engineering and social sciences. In this article, we propose a most general form of a linear PIDE with a convolution kernel. We convert the proposed PIDE to an ordinary differential equation (ODE) using a Laplace transform (LT). Solving this ODE and applying inverse LT an exact solution of the problem is obtained. It is observed that the LT is a simple and reliable technique for solving such equations. A variety of numer… Show more

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Cited by 18 publications
(9 citation statements)
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References 14 publications
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“…Examples of numerical methods are: iterative, Newton-Raphson division, Newton's, Horner's, rate of convergence, Taylor series, Runge-Kutta, Laplace transform, Elzaki transform, double Elzaki transform linear, multistep, and Gear. They are used to solve realtime (i.e., dynamic) systems with assumptions made of the initial conditions [8], [10], [11].…”
Section: Basic Concepts a Numerical Methodsmentioning
confidence: 99%
“…Examples of numerical methods are: iterative, Newton-Raphson division, Newton's, Horner's, rate of convergence, Taylor series, Runge-Kutta, Laplace transform, Elzaki transform, double Elzaki transform linear, multistep, and Gear. They are used to solve realtime (i.e., dynamic) systems with assumptions made of the initial conditions [8], [10], [11].…”
Section: Basic Concepts a Numerical Methodsmentioning
confidence: 99%
“…The analysis of such PIDE can be found in [5][6][7][8]. In the last few years, Jyoti Thorwe and Sachin Bhalekar [1] Where, a i , b i , c and d i are constants or the functions of x alone. And f(x, t) , K i (t − y) are known functions.…”
Section: Introductionmentioning
confidence: 99%
“…In [28] the solution of classical PIDEs was discussed using classical Laplace transform. In the present article we investigate the solution of different types of fuzzy partial integro differential equations with convolution kernel (FPIDEs) using fuzzy Laplace transform method.…”
Section: Introductionmentioning
confidence: 99%