"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.



Inhalt
Stochastic Models.- Block-Structured Markov Chains.- Markov Chains of GI/G/1 Type.- Asymptotic Analysis.- Markov Chains on Continuous State Space.- Block-Structured Markov Renewal Processes.- Examples of Practical Applications.- Transient Solution.- Quasi-Stationary Distributions.- Markov Reward Processes.- Sensitivity Analysis and Evolutionary Games.
Titel
Constructive Computation in Stochastic Models with Applications
Untertitel
The RG-Factorizations
EAN
9783642114922
ISBN
978-3-642-11492-2
Format
E-Book (pdf)
Herausgeber
Veröffentlichung
02.02.2011
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
5.96 MB
Anzahl Seiten
650
Jahr
2011
Untertitel
Englisch