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Probabilistic Analysis of Numerical Methods for Integral Equations
Numerical problems and algorithms for solving Fredholm integral equations are analyzed from a probabilistic point of view. The probability measures on the set of right-hand sides and on the set of kernels are fixed. The author uses Wiener type measures which are naturally related to the scale of Sobolev spaces.
S. Heinrich
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On the Stability of Numerical Methods for Nonlinear Volterra Integral Equations [PDF]
Here we investigate the behavior of the analytical and numerical solution of a nonlinear second kind Volterra integral equation where the linear part of the kernel has a constant sign and we provide conditions for the boundedness or decay of solutions ...
E. Messina +3 more
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Numerical Methods for Solving Fredholm Integral Equations of Second Kind
Integral equation has been one of the essential tools for various areas of applied mathematics. In this paper, we review different numerical methods for solving both linear and nonlinear Fredholm integral equations of second kind.
S. Saha Ray, P. K. Sahu
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This article is concerned with the construction of approximate analytic solutions to linear Fredholm integral equations of the second kind with general continuous kernels. A unified treatment of some classes of analytical and numerical classical methods,
Efthimios Providas
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A Survey of Numerical Methods for Solving Nonlinear Integral Equations
The author gives a survey of numerical methods for solving nonlinear integral equations of the second kind such as the following: \[ x(t)=y(t)+\int_ D K(t,s)f(s,x(s))ds,\quad t\in D. \] Projection methods (such as Nyström technique and iterated projection method) are described and convergence results are given.
K. Atkinson
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Numerical integration methods for the solution of singular integral equations [PDF]
The evaluation of the stress intensity factors at the tips of a crack in a homogeneous isotropic and elastic medium may be achieved with higher accuracy and much less computation if the Lobatto-Chebyshev method of numerical solution of the corresponding system of singular integral equations is used instead of the method of Gauss-Chebyshev commonly ...
Theocaris, P. S., Ioakimidis, N. I.
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Numerical methods for Volterra integral equations of the first kind [PDF]
P. Linz
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Numerical methods for stochastic Volterra integral equations with weakly singular kernels [PDF]
In this paper we first establish the existence, uniqueness and Hölder continuity of the solution to stochastic Volterra integral equations (SVIEs) with weakly singular kernels, with singularities $\alpha \in (0, 1)$ for the drift term and $\beta \in (0,
Min Li, Chengming Huang, Yaozhong Hu
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Methods and effective algorithms for solving multidimensional integral equations
Objectives. Integral equations have long been used in mathematical physics to demonstrate existence and uniqueness theorems for solving boundary value problems for differential equations. However, despite integral equations have a number of advantages in
A. B. Samokhin
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Certain results associated with mixed integral equations and their comparison via numerical methods
In this article, we consider existence and unique of solutions of linear mixed integral equations of third, second and first kinds. Then, we use the collection method to discuss numerical solutions by employing Chebyshev and Legendre polynomials.
S. Alhazmi
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