Mathematical modeling is the process of solving a "real world" problem using mathematical methods. This book takes a practical approach toward the solution of a variety of real problems such as docking two vehicles in space, growth rate of an infectious disease, and wildlife management, while introducing the necessary, rigorous mathematical techniques required for a reasonable solution. The book employs a uniform problem-solving methodology consistently in the three major areas of optimization, dynamic systems, and stochastic processes. Computer programs, calculators, and graphics are used where appropriate.
- Hardback | 304 pages
- 160.02 x 223.52 x 22.86mm | 566.99g
- 01 Apr 1993
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
Table of contents
Optimization models - one variable optimization; multivariable optimization; computational methods for optimization; dynamic models - introduction to dynamic models; analysis of dynamic models; simulation of dynamic models; probability models - introduction to probability models; stochastic models; Monte Carlo simulation.