Classical and Modern Numerical Analysis: Theory, Methods and Practiceprovides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.
The text covers the main areas of introductory numerical analysis, including the solution of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The authors illustrate the concepts with many examples as well as analytical and computational exercises at the end of each chapter.
This advanced, graduate-level introduction to the theory and methods of numerical analysis supplies the necessary background in numerical methods so that students can apply the techniques and understand the mathematical literature in this area. Although the book is independent of a specific computer program, MATLAB?code is available on the authors' website to illustrate various concepts.
Mathematical Review and Computer Arithmetic
Mathematical Review
Computer Arithmetic
Interval Computations
Numerical Solution of Nonlinear Equations of One Variable
Introduction
Bisection Method
The Fixed Point Method
Newtons Method (NewtonRaphson Method)
The Univariate Interval Newton Method
Secant Method and M?llers Method
Aitken Acceleration and Steffensens Method
Roots of Polynomials
Additional Notes and Summary
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