Numerical Methods in Scientific Computing
This new book from the authors of the classic book Numerical Methods addresses the increasingly important role of numerical methods in science and engineering. More cohesive and comprehensive than any other modern textbook in the field, it combines traditional and well-developed topics with other material that is rarely found in numerical analysis texts, such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions. Although this volume is self-contained, more comprehensive treatments of matrix computations will be given in a forthcoming volume. A supplementary Website contains three appendices: an introduction to matrix computations; a description of Mulprec, a MATLAB® multiple precision package; and a guide to literature, algorithms, and software in numerical analysis. Review questions, problems, and computer exercises are also included. For use in an introductory graduate course in numerical analysis and for researchers who use numerical methods in science and engineering.
- Includes review questions, problems and computer exercises drawn from 40 years of teaching
- Contains over 60 short biographical notes on mathematicians who have made significant contributions to the field
- A supporting website provides an introduction to matrix analysis, a basic review of the MATLAB® package Mulprec, and a guide to literature in numerical analysis
Reviews & endorsements
'This work is a monumental undertaking and represents the most comprehensive textbook survey of numerical analysis to date. It will be an important reference in the field for many years to come.' Nicholas J. Higham, University of Manchester
Product details
September 2008Hardback
9780898716443
746 pages
260 × 183 × 42 mm
1.43kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- List of figures
- List of tables
- List of conventions
- Preface
- 1. Principles of numerical calculations
- 2. How to obtain and estimate accuracy
- 3. Series, operators and continued fractions
- 4. Interpolation and approximation
- 5. Numerical integration
- 6. Solving scalar nonlinear equations
- Bibliography
- Index
- Online appendix A. Introduction to matrix computations
- Online appendix B. A MATLAB multiple precision package
- Online appendix C. Guide to literature.