A course in mathematical biology - quantitative modeling with mathematical and computational methods

Preface Part I. Theoretical Modeling Tools: 1. Introduction 2. Discrete-time models 3. Ordinary differential equations 4. Partial differential equations 5. Stochastic models 6. Cellular automata and related models 7. Estimating parameters Part II. Self-guided Computer Tutorial: 8. Maple course Part III. Projects: 9. Project descriptions 10. Solved projects Appendix Bibliography Author index Index.

[1]  Alan J. Laub,et al.  Matrix analysis - for scientists and engineers , 2004 .

[2]  Michael C. Ferris,et al.  Linear programming with MATLAB , 2007, MPS-SIAM series on optimization.