
Numerical Methods for Physics
Alejandro Garcia(Author)
Pearson (Publisher)
2nd Edition
Published on 12. August 1999
Book
Hardback
423 pages
978-0-13-906744-0 (ISBN)
Description
For courses in Computational Physics and or Numerical Methods.
The second edition updates programs, graphics, includes a significant number of new and revised exercises, and revises throughout for clarity. Organized around the numerical algorithms that should be in every physicists' "Computational Toolbox". This text combines numerical analysis and mathematical physics topics.
The second edition updates programs, graphics, includes a significant number of new and revised exercises, and revises throughout for clarity. Organized around the numerical algorithms that should be in every physicists' "Computational Toolbox". This text combines numerical analysis and mathematical physics topics.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 243 mm
Width: 185 mm
Thickness: 25 mm
Weight
838 gr
ISBN-13
978-0-13-906744-0 (9780139067440)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Alejandro L. Garcia
Numerical Methods for Physics
Book
03/1994
Prentice-Hall
€40.84
Article exhausted; check for reprint
Content
1. Preliminaries.
2. Ordinary Differential Equations I: Basic Methods.
3. Ordinary Differential Equations II: Advanced Methods.
4. Solving Systems of Equations.
5. Analysis of Data.
6. Partial Differential Equations I: Foundations and Explicit Methods.
7. Partial Differential Equations II: Advanced Explicit Methods.
8. Partial Differential Equations III: Relaxation and Spectral Methods.
9. Partial Differential Equations IV: Stability and Implicit Methods.
10. Special Functions and Quadrature.
11. Stochastic Methods.
2. Ordinary Differential Equations I: Basic Methods.
3. Ordinary Differential Equations II: Advanced Methods.
4. Solving Systems of Equations.
5. Analysis of Data.
6. Partial Differential Equations I: Foundations and Explicit Methods.
7. Partial Differential Equations II: Advanced Explicit Methods.
8. Partial Differential Equations III: Relaxation and Spectral Methods.
9. Partial Differential Equations IV: Stability and Implicit Methods.
10. Special Functions and Quadrature.
11. Stochastic Methods.