Constructive Computation in Stochastic Models with Applications

Released on by Quan-Lin Li
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  • Constructive Computation in Stochastic Models with Applications Book Detail

  • Author : Quan-Lin Li
  • Release Date : 2011-02-02
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 693
  • ISBN 13 : 364211492X
  • File Size : 82,82 MB
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Constructive Computation in Stochastic Models with Applications by Quan-Lin Li PDF Summary

Book Description: "Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.

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Matrix-analytic Methods

Matrix-analytic Methods

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Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They are extensively used i