Wavelet Based Approximation Schemes for Singular Integral Equations

Widely used methods include: Finite Difference Method (FDM), Finite Element Method (FEM), Finite Volume Method (FVM) and Galerkin Method (GM). Unfortunately, none of these are versatile. Each has merits and limitations.

Wavelet Based Approximation Schemes for Singular Integral Equations

Wavelet Based Approximation Schemes for Singular Integral Equations

Many mathematical problems in science and engineering are defined by ordinary or partial differential equations with appropriate initial-boundary conditions. Among the various methods, boundary integral equation method (BIEM) is probably the most effective. It’s main advantage is that it changes a problem from its formulation in terms of unbounded differential operator to one for an integral/integro-differential operator, which makes the problem tractable from the analytical or numerical point of view. Basically, the review/study of the problem is shifted to a boundary (a relatively smaller domain), where it gives rise to integral equations defined over a suitable function space. Integral equations with singular kernels areamong the most important classes in the fields of elasticity, fluid mechanics, electromagnetics and other domains in applied science and engineering. With the advancesin computer technology, numerical simulations have become important tools in science and engineering. Several methods have been developed in numerical analysis for equations in mathematical models of applied sciences. Widely used methods include: Finite Difference Method (FDM), Finite Element Method (FEM), Finite Volume Method (FVM) and Galerkin Method (GM). Unfortunately, none of these are versatile. Each has merits and limitations. For example, the widely used FDM and FEM suffers from difficulties in problem solving when rapid changes appear in singularities. Even with the modern computing machines, analysis of shock-wave or crack propagations in three dimensional solids by the existing classical numerical schemes is challenging (computational time/memory requirements). Therefore, with the availability of faster computing machines, research into the development of new efficient schemes for approximate solutions/numerical simulations is an ongoing parallel activity. Numerical methods based on wavelet basis (multiresolution analysis) may be regarded as a confluence of widely used numerical schemes based on Finite Difference Method, Finite Element Method, Galerkin Method, etc. The objective of this monograph is to deal with numerical techniques to obtain (multiscale) approximate solutions in wavelet basis of different types of integral equations with kernels involving varieties of singularities appearing in the field of elasticity, fluid mechanics, electromagnetics and many other domains in applied science and engineering.

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Wavelet Based Approximation Schemes for Singular Integral Equations
Language: en
Pages: 290
Authors: Madan Mohan Panja, Birendra Nath Mandal
Categories: Mathematics
Type: BOOK - Published: 2020-09-25 - Publisher: CRC Press

Many mathematical problems in science and engineering are defined by ordinary or partial differential equations with appropriate initial-boundary conditions. Among the various methods, boundary integral equation method (BIEM) is probably the most effective. It’s main advantage is that it changes a problem from its formulation in terms of unbounded differential
Wavelet Based Approximation Schemes for Singular Integral Equations
Language: en
Pages: 290
Authors: M. M. Panja, B. N. Mandal
Categories: Mathematics
Type: BOOK - Published: 2022-02-15 - Publisher: CRC Press

Many mathematical problems in science and engineering are defined by ordinary or partial differential equations with appropriate initial-boundary conditions. Among the various methods, boundary integral equation method (BIEM) is probably the most effective. It's main advantage is that it changes a problem from its formulation in terms of unbounded differential
Multiscale Methods for Fredholm Integral Equations
Language: en
Pages: 552
Authors: Zhongying Chen, Charles A. Micchelli, Yuesheng Xu
Categories: Mathematics
Type: BOOK - Published: 2015-07-16 - Publisher: Cambridge University Press

Presents the state of the art in the study of fast multiscale methods for solving these equations based on wavelets.
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Language: en
Pages:
Authors: Zhongying Chen, Charles A. Micchelli, Yuesheng Xu
Categories: Mathematics
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Multiscale, Nonlinear and Adaptive Approximation
Language: en
Pages: 660
Authors: Ronald DeVore, Angela Kunoth
Categories: Mathematics
Type: BOOK - Published: 2009-09-16 - Publisher: Springer Science & Business Media

The book of invited articles offers a collection of high-quality papers in selected and highly topical areas of Applied and Numerical Mathematics and Approximation Theory which have some connection to Wolfgang Dahmen's scientific work. On the occasion of his 60th birthday, leading experts have contributed survey and research papers in