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Linear Operator Equations: Approximation And Regularization
Linear Operator Equations: Approximation And Regularization
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A01=M Thamban Nair
Accelerated Methods
Author_M Thamban Nair
Category=PBKS
Discrepancy Principle
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Fredholm Integral Equations
Galerkin Method
Ill-Posed Problems
Nystrom Method
Operator Equations
Parameter Choice Strategy
Projection Methods
Regularization Method
Source Conditions
Well-Posed Problems
Product details
- ISBN 9789812835642
- Publication Date: 27 May 2009
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Many problems in science and engineering have their mathematical formulation as an operator equation Tx=y, where T is a linear or nonlinear operator between certain function spaces. In practice, such equations are solved approximately using numerical methods, as their exact solution may not often be possible or may not be worth looking for due to physical constraints. In such situations, it is desirable to know how the so-called approximate solution approximates the exact solution, and what the error involved in such procedures would be.This book is concerned with the investigation of the above theoretical issues related to approximately solving linear operator equations. The main tools used for this purpose are basic results from functional analysis and some rudimentary ideas from numerical analysis. To make this book more accessible to readers, no in-depth knowledge on these disciplines is assumed for reading this book.
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