A Theoretical Introduction to Numerical Analysis

CRC Press, Nov 2, 2006 - Mathematics - 552 pages
A Theoretical Introduction to Numerical Analysis presents the general methodology and principles of numerical analysis, illustrating these concepts using numerical methods from real analysis, linear algebra, and differential equations. The book focuses on how to efficiently represent mathematical models for computer-based study.

An accessible yet rigorous mathematical introduction, this book provides a pedagogical account of the fundamentals of numerical analysis. The authors thoroughly explain basic concepts, such as discretization, error, efficiency, complexity, numerical stability, consistency, and convergence. The text also addresses more complex topics like intrinsic error limits and the effect of smoothness on the accuracy of approximation in the context of Chebyshev interpolation, Gaussian quadratures, and spectral methods for differential equations. Another advanced subject discussed, the method of difference potentials, employs discrete analogues of Calderon’s potentials and boundary projection operators. The authors often delineate various techniques through exercises that require further theoretical study or computer implementation.

By lucidly presenting the central mathematical concepts of numerical methods, A Theoretical Introduction to Numerical Analysis provides a foundational link to more specialized computational work in fluid dynamics, acoustics, and electromagnetism.

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This book is superb in terms of simplicity and elegance. The contents are well-written and well-organized. However, it is not a book for beginners. This book is the next step to Introductory Methods of Numerical Analysis by S.S. Sastry. Overall, this book is very good for the students who wants insight into strengths and limitations of a particular numerical method.

Contents

 Interpolation of Functions Quadratures 21 Trigonometric Interpolation 61 polants 80 Computation of Definite Integrals Quadratures 91 Direct Methods 119
 Iterative Methods for Solving Linear Systems 173 Overdetermined Linear Systems The Method of Least Squares 211 i 445 Copyright

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