A Course in Mathematical Modeling
The emphasis of this book lies on the teaching of mathematical modeling rather than simply presenting models. To this end the book starts with the simple discrete exponential growth model as a building block, and successively refines it. This involves adding variable growth rates, multiple variables, fitting growth rates to data, including random elements, testing exactness of fit, using computer simulations and moving to a continuous setting. No advanced knowledge is assumed of the reader, making this book suitable for elementary modeling courses. The book can also be used to supplement courses in linear algebra, differential equations, probability theory and statistics.
- Highly class tested material
- Contains a wide spread of applications
- Includes many worked examples
Product details
June 1999Paperback
9780883857120
448 pages
255 × 179 × 28 mm
0.79kg
This item is not supplied by Cambridge University Press in your region. Please contact Mathematical Association of America for availability.
Table of Contents
- Modeling basics
- 1. Discrete dynamical systems
- 2. Discrete stochasticity
- 3. Stages, states, and classes
- 4. Empirical modeling
- 5. Continuous models
- 6. Continuous stochasticity
- Appendices.