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Wavelet Based Approximation Schemes for Singular Integral Equations (Paperback)
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Wavelet Based Approximation Schemes for Singular Integral Equations (Paperback)
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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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