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Applied Stochastic Processes and Control for Jump Diffusions
Modeling, Analysis, and Computation
A practical, entry-level text integrating the basic principles of applied mathematics and probability, and computational science.
Floyd B. Hanson (Author)
9780898716337, Society for Industrial and Applied Mathematics
Paperback / softback, published 22 November 2007
474 pages
25.4 x 17.9 x 2.6 cm, 0.81 kg
This self-contained, practical, entry-level text integrates the basic principles of applied mathematics, applied probability, and computational science for a clear presentation of stochastic processes and control for jump diffusions in continuous time. The author covers the important problem of controlling these systems and, through the use of a jump calculus construction, discusses the strong role of discontinuous and nonsmooth properties versus random properties in stochastic systems. The book emphasises modelling and problem solving, and presents sample applications in financial engineering and biomedical modelling. Computational and analytic exercises and examples are included throughout. While classical applied mathematics is used in most of the chapters to set up systematic derivations and essential proofs, the final chapter bridges the gap between the applied and the abstract worlds to give readers an understanding of the more abstract literature on jump diffusions. Appendices are available on the book's supplementary Web page.
Preface
1. Stochastic jump and diffusion processes
2. Stochastic integration for diffusions
3. Stochastic integration for jumps
4. Stochastic calculus for jump-diffusions
5. Stochastic calculus for general Markov SDEs
6. Stochastic dynamic programming
7. Kolmogorov equations
8. Computational Stochastic control methods
9. Stochastic simulations
10. Applications in financial engineering
11. Applications in mathematical niology and medicine
12. Applied guide to abstract stochastic processes
Bibliography
Index
A. Appendix online: deterministic optimal control
B. Appendix online: preliminaries in probability and analysis
C. Appendix online: MATLAB programs.
Subject Areas: Numerical analysis [PBKS]