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Computational Methods for Integral Equations

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Published by Cambridge University Press .
Written in English

Subjects:

  • Probability & statistics,
  • Science/Mathematics,
  • Mathematics,
  • Science,
  • General,
  • Mathematics / Mathematical Analysis,
  • Integral Equations,
  • Numerical solutions

Book details:

The Physical Object
FormatPaperback
Number of Pages388
ID Numbers
Open LibraryOL7738035M
ISBN 100521357969
ISBN 109780521357968

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Some knowledge of numerical methods and linear algebra is assumed, but the book includes introductory sections on numerical quadrature and function space concepts. This book should serve as a valuable text for final year undergraduate or postgraduate courses, and as an introduction or reference work for practising computational mathematicians Cited by: Some knowledge of numerical methods and linear algebra is assumed, but the book includes introductory sections on numerical quadrature and function space concepts. This book should serve as a valuable text for final year undergraduate or postgraduate courses, and as an introduction or reference work for practising computational mathematicians Author: L. M. Delves, J. L. Mohamed. Get this from a library! Computational methods for integral equations. [L M Delves; J L Mohamed] -- Integral equations form an important class of problems, arising frequently in engineering, and mathematical and scientific analysis. This book provides an up-to-date and readable account of. Book Abstract: Computational Methods for Electromagnetics is an indispensable resource for making efficient and accurate formulations for electromagnetics applications and their numerical treatment. Employing a unified coherent approach that is unmatched in the field, the authors detail both integral and differential equations using the method.

Expansion methods for Freholm equations of the second kind; 8. Numerical techniques for expansion methods; 9. Analysis of the Galerkin method with orthogonal basis; Numerical performance of algorithms for Fredholm equations of the second kind; Singular integral equations; Integral equations of the first kind; When the number of equations are small solution may be obtained by elementary methods. For example, two or three equations may be solved easily by the use of Cramer’s rule. Integration of a function is best performed, when possible, by analytical methods to get the integral in closed form. Computational Methods in Engineering brings. The book can be used as a database of test problems for numerical and approximate methods for solving linear and nonlinear integral equations. Discover . In most of the cases, it is difficult to obtain analytical solution of integral equations, therefore many numerical methods such as collocation method with different basics [2,19, 20], orthogonal.

Computational Methods in Physics Compendium for Students. Authors (view affiliations) The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. Computational. Computational Methods for Linear Integral Equations: Authors: Prem K. Kythe: Organization: All supporting Mathematica files related to the book are available from the publisher's website Mathematics > Calculus and Analysis > Differential Equations: Science > Physics: Keywords: integral equations, complex analysis, computational. () Computationally enhanced projection methods for symmetric Sylvester and Lyapunov matrix equations. Journal of Computational and Applied Mathematics , () Integral Solution of Linear Multi-Term Matrix Equation and Its Spectral by: Integral equations form an important class of problems, arising frequently in engineering, and in mathematical and scientific analysis. This textbook provides a readable account of techniques for their numerical solution. The authors devote their attention primarily to efficient techniques using high order approximations, taking particular account of situations where singularities are present.