Numerical Analysis for Engineers and Scientists

A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.

List of contents

Preface; 1. Numerical error; 2. Direct solution of linear systems; 3. Eigenvalues and eigenvectors; 4. Iterative approaches for linear systems; 5. Interpolation; 6. Iterative methods and the roots of polynomials; 7. Optimization; 8. Data fitting; 9. Integration; 10. Ordinary differential equations; 11. Introduction to stochastic ODEs; 12. A big integrative example; A. Mathematical background; B. Answers; C. Sample codes; References; Index.

About the author

G. Miller is a professor in the Department of Chemical Engineering and Materials Science at the University of California, Davis.

Summary

Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.

Product details

• Authors: G. Miller, G. (University of California Miller, Greg Miller
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 29.05.2014
• EAN: 9781107021082
• ISBN: 978-1-107-02108-2
• No. of pages: 581
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Analysis