Constructive Computation in Stochastic Models with Applications The RG-Factorization /

"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 m...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Li, Quan-Lin (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783642114922  |9 978-3-642-11492-2 
024 7 |a 10.1007/978-3-642-11492-2  |2 doi 
040 |d GrThAP 
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100 1 |a Li, Quan-Lin.  |e author. 
245 1 0 |a Constructive Computation in Stochastic Models with Applications  |h [electronic resource] :  |b The RG-Factorization /  |c by Quan-Lin Li. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a 650 p. 24 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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505 0 |a 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. 
520 |a "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. 
650 0 |a Mathematics. 
650 0 |a Computer communication systems. 
650 0 |a Mathematical optimization. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Probabilities. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 1 4 |a Mathematics. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Optimization. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Industrial and Production Engineering. 
650 2 4 |a Quality Control, Reliability, Safety and Risk. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642114915 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-11492-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)