Numerical Methods Using Matlab
Résumé
- Developing computing technology used through all algorithms and scripts.
- Clear visual interpretation of results using MATLAB graphics.
- Use of symbolic methods—Includes a full chapter
on the use of the MATLAB symbolic toolbox and its
application to numerical methods.
- Allows comparison of different approaches to many problems and enhances opportunities for testing and experimentation.
- Introduction to the important field of optimization.
- Helps the reader understand the broad area of MATLAB application.
- Statistical techniques placed in a clear numerical
context.
- Enables the reader to grasp complex but widely applied concepts.
- MATLAB symbolic toolbox—Includes a full chapter on the use of the MATLAB symbolic toolbox and its applications to numerical methods.
- The most current MATLAB functions—Includes functions for obtaining specific eigenvalues; for the solution of differential equations (including methods for stiff differential equations); and for regression analysis.
- Coverage on global optimization methods.
- 1. An Introduction to MATLAB.
- 2. Linear Equations and Eigensystems.
- 3. Solution of Non-Linear Equations.
- 4. Differentiation and Integration.
- 5. Solution of Differential Equations.
- 6. Boundary Value Problems.
- 7. Fitting Functions to Data.
- 8. Optimization Methods.
- 9. Applications of the Symbolic Toolbox.
- Appendix 1. Matrix Algebra.
- Appendix 2. Error Analysis.
- Appendix 3. Special Maple Functions.
- Appendix 4. MATLAB Functions.
- References.
- Solutions to Problems.
- Index.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Prentice Hall |
Auteur(s) | george Lindfield, john Penny |
Parution | 01/08/1999 |
Édition | 2eme édition |
Nb. de pages | 482 |
Format | 17,7 x 23,4 |
Couverture | Broché |
Poids | 696g |
Intérieur | Noir et Blanc |
EAN13 | 9780130126412 |
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