Computational Probability

Häftad, Engelska, 2010

Av Winfried K. Grassmann, Winfried Grassmann

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Markov modeling has found applications in many areas, three of which are described in detail:Chapter 10 analyzes discrete-time queues, Chapter 11 describes networks of queues, and Chapter 12 deals with reliability theory.

Produktinformation

Utgivningsdatum2010-12-06
Mått155 x 235 x 28 mm
Vikt756 g
FormatHäftad
SpråkEngelska
SerieInternational Series in Operations Research & Management Science
Antal sidor490
FörlagSpringer-Verlag New York Inc.
ISBN9781441951007

Tillhör följande kategorier

1 Computational Probability: Challenges and Limitations.- 2 Tools for Formulating Markov Models.- 3 Transient Solutions for Markov Chains.- 4 Numerical Methods for Computing Stationary Distributions of Finite Irreducible Markov Chains.- 5 Stochastic Automata Networks.- 6 Matrix Analytic Methods.- 7 Use of Characteristic Roots for Solving Infinite State Markov Chains.- 8 An Introduction to Numerical Transform Inversion and Its Application to Probability Models.- 9 Optimal Control of Markov Chains.- 10 On Numerical Computations of Some Discrete-Time Queues.- 11 The Product Form Tool for Queueing Networks.- 12 Techniques for System Dependability Evaluation.