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[PDF] Top 20 A Efficient Computational Method for Solving Stochastic Itô-Volterra Integral Equations

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A Efficient Computational Method for Solving Stochastic Itô-Volterra Integral Equations

A Efficient Computational Method for Solving Stochastic Itô-Volterra Integral Equations

... or stochastic integrals are very important for modeling many phenomena in physics, mechanics, medical, finance, sociology, biology, ...these stochastic mathematical models rather than deterministic ...as ... See full document

12

Convergence of Legendre wavelet collocation method for solving nonlinear Stratonovich Volterra integral equations

Convergence of Legendre wavelet collocation method for solving nonlinear Stratonovich Volterra integral equations

... In stochastic processes, stochastic integrals are divided into two parts; Itˆ o integral and Stratonovich ...o integral named after Kiyoshi Itˆ o and usually is used in applied mathematics ... See full document

18

Numerical Solution of Nonlinear Fredholm Volterra Integtral Equations via Piecewise Constant Function by Collocation Method

Numerical Solution of Nonlinear Fredholm Volterra Integtral Equations via Piecewise Constant Function by Collocation Method

... a computational method for solving nonlinear Fredholm-Volterra integral equations of the second kind which is based on replacement of the unknown function by truncated series of ... See full document

5

Numerical Solution of Two Dimensional Nonlinear Stochastic Itô Volterra Integral Equations by Applying Block Pulse Functions

Numerical Solution of Two Dimensional Nonlinear Stochastic Itô Volterra Integral Equations by Applying Block Pulse Functions

... nonlinear stochastic Itô-Volterra integral ...an efficient numerical method for the following nonlinear stochastic integral equation based on block pulse func- ... See full document

14

Application of Triangular Functions to Numerical Solution of Stochastic Volterra Integral Equations

Application of Triangular Functions to Numerical Solution of Stochastic Volterra Integral Equations

... efficient method for solving numerically stochastic Volterra integral equa- tion is ...This method has several advantages in reducing computa- tional burden and is more accurate ... See full document

9

Numerical Method for solving Volterra Integral Equations with a Convolution Kernel

Numerical Method for solving Volterra Integral Equations with a Convolution Kernel

... the Volterra integral ...a method for the solution of integral equation using the Chebyshev polynomials, while Yousefi[5] presented a numerical method for the Abel integral ... See full document

5

Numerical solution of nonlinear stochastic Itô–Volterra integral equations based on Haar wavelets

Numerical solution of nonlinear stochastic Itô–Volterra integral equations based on Haar wavelets

... In contrast to the above papers [1, 3, 7–9], the differences of this paper are as follows. Firstly, we construct a preparation theorem to deal with the nonlinear analytic functions. Secondly, the error analysis is ... See full document

14

A Fast and Accurate Expansion-Iterative Method for Solving Second Kind Volterra Integral Equations

A Fast and Accurate Expansion-Iterative Method for Solving Second Kind Volterra Integral Equations

... expansion-iterative method for solving second kind linear Volterra integral ...The method is based on a special representation of vector forms of triangular functions and their ... See full document

9

A wavelet method for stochastic Volterra integral equations and its application to general stock model

A wavelet method for stochastic Volterra integral equations and its application to general stock model

... wavelet method for solving stochastic Volterra integral equations based on Haar ...o integral formula and collocating at points then, the main problem converts to a system ... See full document

19

Computational method based on triangular operational matrices for solving nonlinear stochastic differential equations

Computational method based on triangular operational matrices for solving nonlinear stochastic differential equations

... Deb et al. in [6], proposed orthogonal triangular function (TF) sets which derived from the block pulse function (BPF) set. They presented the operational matrix for integration in TF and they established that the TF ... See full document

11

Approximate solution of the stochastic Volterra integral equations via expansion method

Approximate solution of the stochastic Volterra integral equations via expansion method

... ence and Technology where he has been a Profes- sor since 2002. During 19912000, he also served as Vice-chair for graduate students. He was a Visiting Professor at the University of California at Los Angeles in 1990. His ... See full document

8

Comparing chebyshev polynomials and adomian decomposition method in solving nonlinear volterra integral equations of second kind

Comparing chebyshev polynomials and adomian decomposition method in solving nonlinear volterra integral equations of second kind

... manipulate equations numerically and ...a computational software program used in many scientific, engineering, mathematical and computing fields, based on symbolic ... See full document

19

A New Approach for Solving Volterra Integral Equations Using The Reproducing Kernel ‎Method

A New Approach for Solving Volterra Integral Equations Using The Reproducing Kernel ‎Method

... ear Volterra integral equations was discussed by Yang et ...of Volterra integral equations with weakly singular kernel us- ing RKM was investigated in [11, 12, 13], Geng [14] ... See full document

6

Application of A Second Derivative Multi-Step Method to Numerical Solution of Volterra Integral Equation of Second Kind

Application of A Second Derivative Multi-Step Method to Numerical Solution of Volterra Integral Equation of Second Kind

... For decreasing the amount f algebraic operations during solving system (2.7), here we get suggest a scheme that may be called a generalization of the scheme by Urabe (1970). Before stating this scheme we remind ... See full document

14

Fuzzy bivariate Chebyshev method for solving fuzzy Volterra-Fredholm integral equations

Fuzzy bivariate Chebyshev method for solving fuzzy Volterra-Fredholm integral equations

... Keywords : F uzzy numbers; F uzzy Volterra-Fredholm integral equation; Fuzzy bivariate Chebyshev.. method; Dual fuzzy linear system; Nonnegative matrix.[r] ... See full document

11

Itô corrections in stochastic equations

Itô corrections in stochastic equations

... of stochastic PDEs where both the noise term and the linear operator exhibit a multiscale structure, and this is the main focus of this ...the stochastic case, see for example [Ich04, WCD07, ... See full document

171

Collocation Method for Nonlinear Volterra Fredholm Integral Equations

Collocation Method for Nonlinear Volterra Fredholm Integral Equations

... [6] A. T. Diogo, S. McKee and T. Tang, “A Hermite-Type Collocation Method for the Solution of an Integral Equa- tion with a Certain Weakly Singular Kernel,” IMA Jour- nal of Numerical Analysis, Vol. 11, No. ... See full document

7

Efficient algorithms for solving nonlinear Volterra
			integro differential equations with two point boundary conditions

Efficient algorithms for solving nonlinear Volterra integro differential equations with two point boundary conditions

... EFFICIENT ALGORITHMS FOR SOLVING NONLINEAR VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS WITH TWO POINT BOUNDARY CONDITIONS LE.. GAREY and R.E.[r] ... See full document

6

Strong approximation for Itô stochastic differential equations

Strong approximation for Itô stochastic differential equations

... methods can be obtained by truncating farther terms of the stochastic Taylor expansion. This technique involves considerable complexities in implementa- tion because of the approximation of higher order ... See full document

13

Legendre Wavelet for Solving Linear System of Fredholm And Volterra Integral Equations

Legendre Wavelet for Solving Linear System of Fredholm And Volterra Integral Equations

... wavelets method was aplied for solving system of linear integral ...present method reduced the system of integral equations to a system of linear algebraic ...the method ... See full document

9

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