Description
Numerical Methods and Methods of Approximation in Science and Engineering prepares students and other readers for advanced studies involving applied numerical and computational analysis. Focused on building a sound theoretical foundation, it uses a clear and simple approach backed by numerous worked examples to facilitate understanding of numerical methods and their application. Readers will learn to structure a sequence of operations into a program, using the programming language of their choice; this approach leads to a deeper understanding of the methods and their limitations.
Features:
- Provides a strong theoretical foundation for learning and applying numerical methods
- Takes a generic approach to engineering analysis, rather than using a specific programming language
- Built around a consistent, understandable model for conducting engineering analysis
- Prepares students for advanced coursework, and use of tools such as FEA and CFD
- Presents numerous detailed examples and problems, and a Solutions Manual for instructors
Table of Contents
Preface
About the Author
1 Introduction
2 Linear Simultaneous Algebraic Equations
3 Nonlinear Simultaneous Equations
4 Algebraic Eigenvalue Problems
5 Interpolation and Mapping
6 Numerical Integration or Quadrature
7 Curve Fitting
8 Numerical Differentiation
9 Numerical Solutions of BVPs
10 Numerical Solution of Initial Value Problems
11 Fourier Series
BIBLIOGRAPHY
INDEX
