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|a 9781461443469
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|a 10.1007/978-1-4614-4346-9
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|a Yin, G. George.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Continuous-Time Markov Chains and Applications
|h [electronic resource] :
|b A Two-Time-Scale Approach /
|c by G. George Yin, Qing Zhang.
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|a 2nd ed. 2013.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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|a XXII, 430 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Stochastic Modelling and Applied Probability,
|x 2197-439X ;
|v 37
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|a Prologue and Preliminaries: Introduction and overview- Mathematical preliminaries -- Markovian models -- Two-Time-Scale Markov Chains: Asymptotic Expansions of Solutions for Forward Equations -- Occupation Measures: Asymptotic Properties and Ramification -- Asymptotic Expansions of Solutions for Backward Equations -- Applications:MDPs, Near-optimal Controls, Numerical Methods, and LQG with Switching: Markov Decision Problems -- Stochastic Control of Dynamical Systems -- Numerical Methods for Control and Optimization -- Hybrid LQG Problems -- References -- Index.-.
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|a This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufacturing systems, and financial engineering. It presents results on asymptotic expansions of solutions of Komogorov forward and backward equations, properties of functional occupation measures, exponential upper bounds, and functional limit results for Markov chains with weak and strong interactions. To bridge the gap between theory and applications, a large portion of the book is devoted to applications in controlled dynamic systems, production planning, and numerical methods for controlled Markovian systems with large-scale and complex structures in the real-world problems. This second edition has been updated throughout and includes two new chapters on asymptotic expansions of solutions for backward equations and hybrid LQG problems. The chapters on analytic and probabilistic properties of two-time-scale Markov chains have been almost completely rewritten and the notation has been streamlined and simplified. This book is written for applied mathematicians, engineers, operations researchers, and applied scientists. Selected material from the book can also be used for a one semester advanced graduate-level course in applied probability and stochastic processes.
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|a Probabilities.
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|a Mathematical optimization.
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|a Calculus of variations.
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|a Operations research.
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|a Management science.
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|a Engineering mathematics.
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|a Engineering-Data processing.
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|a Probability Theory.
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|a Calculus of Variations and Optimization.
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|a Operations Research, Management Science .
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|a Mathematical and Computational Engineering Applications.
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|a Zhang, Qing.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781461443476
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|i Printed edition:
|z 9781489991188
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|i Printed edition:
|z 9781461443452
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|a Stochastic Modelling and Applied Probability,
|x 2197-439X ;
|v 37
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|u https://doi.uam.elogim.com/10.1007/978-1-4614-4346-9
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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