Numerical approach for solving nonlinear stochastic Itô-Volterra integral equations using shifted Legendre polynomials (Q2113830)
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scientific article; zbMATH DE number 7488864
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Numerical approach for solving nonlinear stochastic Itô-Volterra integral equations using shifted Legendre polynomials |
scientific article; zbMATH DE number 7488864 |
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Numerical approach for solving nonlinear stochastic Itô-Volterra integral equations using shifted Legendre polynomials (English)
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14 March 2022
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Summary: In this paper, we give a new method for solving stochastic nonlinear Volterra integral equations by using shifted Legendre operational matrix. It is discussed that how the stochastic differential equations (SDE) could numerically be solved as matrix problems. By using this new operational matrix of integration and the so-called collocation method, nonlinear Volterra integral equations is reduced to systems of algebraic equations with unknown Legendre coefficients. Finally, the high accuracy of approximated solutions are illustrated by several experiment.
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stochastic Volterra integral equation
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Brownian motion
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approximate solution
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best approximation
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Legendre polynomials
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collocation method
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0.92179996
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0.9106374
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0.90861917
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0.90760183
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0.90754974
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0.90667194
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0.9041444
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