Continuous-time Markov decision processes [Documento electrónico] : theory and applications / Xianping Guo, Onésimo Hernández-Lerma
Language: eng.Country: Germany.Publication: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Description: XVIII, 234 p.ISBN: 978-3-642-02547-1.Series: Stochastic Modelling and Applied ProbabilitySubject - Topical Name: Processos de Markov | Tomada de decisão, Modelos matemáticos | Processos estocásticos Online Resources:Click here to access online| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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| QA274.7.SPR FCT 81845 Markov's theorem and 100 years of the uniqueness conjecture, a mathematical journey from irrational numbers to perfect matchings | QA274.7.SPR FCT 82001 Invariant probabilities of transition functions | QA274.7.SPR FCT 82028 Input modeling with phase-type distributions and Markov models, theory and applications | QA274.7.SPR FCT 82247 Continuous-time Markov decision processes, theory and applications | QA274.7.SPR FCT 82442 Measure-valued branching Markov processes | QA274.7.SPR FCT 82489 Markov decision processes with applications to finance | QA274.7.SPR FCT 82521 Markov paths, loops and fields, école d'été de probabilités de Saint-Flour XXXVIII – 2008 |
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Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.
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