The Book
This book introduces students with diverse backgrounds to various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with appropriate motivations and careful proofs. In an engaging and informal style, the authors demonstrate that many computational procedures and intriguing questions of computer science arise from theorems and proofs. Algorithms are presented in pseudocode, so that students can immediately write computer programs in standard languages or use interactive mathematical software packages.
The Author(s)
University of Texas at Austin, Texas, USA
Table of Contents
- Mathematical Preliminaries
- Computer Arithnetic
- Solution of Nonlinear Equations
- Solving Systems of Linear Equations
- Selected Topics in Numerical Linear Algebra
- Approximating Functions
- Numerical Differentiation and Integration
- Numerical Solution of Ordinary Differential Equations
- Numerical Solution of Partial Differential Equations
- Linear Programming ond Related Topica
- Optimization
Appendix A An Overview of Mathematical Software
Bibliography
Index