| Description |
xii, 344 pages : illustrations ; 26 cm |
| Contents |
1. Introduction -- Pt. 1. Analytical Models. 2. Ordinary Differential and Difference Equations. 3. Partial Differential Equations. 4. Variational Principles. 5. Random Systems -- Pt. 2. Numerical Models. 6. Finite Differences: Ordinary Differential Equations. 7. Finite Differences: Partial Differential Equations. 8. Finite Elements. 9. Cellular Automata and Lattice Gases -- Pt. 3. Observational Models. 10. Function Fitting. 11. Transforms. 12. Architectures. 13. Optimization and Search. 14. Clustering and Density Estimation. 15. Filtering and State Estimation. 16. Linear and Nonlinear Time Series -- App. 1. Graphical and Mathematical Software -- App. 2. Network Programming -- App. 3. Benchmarking -- App. 4. Problem Solutions |
| Summary |
This is about the nature of mathematical modelling, and the kinds of techniques that are useful for modelling. It is oriented towards simple efficient implementations on computers |
| Bibliography |
Includes bibliographical references (pages 330-339) and index |
| Subject |
Mathematical models.
|
| LC no. |
98022029 |
| ISBN |
0521570956 (hardback) |
|
