Computational Probability Book

Preface. 1. Computational Probability: Challenges and Limitations; W.K. Grassmann. 2. Tools for Formulating Markov Models; G. Ciardo. 3. Transient Solutions for Markov Chains; E. de Souza e Silva, H.R. Gail. 4. Numerical Methods for Computing Stationary Distributions of Finite Irreducible Markov Chains; W.J. Stewart. 5. Stochastic Automata Networks; B. Plateau, W.J. Steward. 6. Matrix Analytic Methods; W.K. Grassmann, D.A. Stanford. 7. Use of Characteristic Roots for Solving Infinite State Markov Chains; H.R. Gail, et al. 8. An Introduction to Numerical Transform Inversion and Its Application to Probability Models; J. Abate, et al. 9. Optimal Control of Markov Chains; S. Stidham, Jr. 10. On Numerical Computations of Some Discrete-Time Queues; M.L. Chaudhry. 11. The Product Form Tool for Queueing Networks; N.M. van Dijk, W.K. Grassmann. 12. Techniques for System Dependability Evaluation; J.K. Muppala, et al. Index.