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77021.pdf
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Wiley出版社
Contents:
The Poisson Process and Related Processes.
Renewal-Reward Processes.
Discrete-Time Markov Chains.
Continuous-Time Markov Chains.
Markov Chains and Queues.
Discrete-Time Markov Decision Processes.
Semi-Markov Decision Processes.
Advanced Renewal Theory.
Algorithmic Analysis of Queueing Models.
Appendix A: Useful Tools in Applied Probability.
Appendix B: Useful Probability Distributions.
Appendix C: Generating Functions.
Appendix D: The Discrete Fast Fourier Transform.
Appendix E: Laplace Transform Theory.
Appendix F: Numerical Laplace Inversion.
Appendix G: The Root-Finding Problem.
References.
Index.
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