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Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks: 12 (Advances in Computational Management Science) - Tapa dura
Sinopsis
THIS BOOK PRESENTS THE LATEST FINDINGS ON STOCHASTIC DYNAMIC PROGRAMMING MODELS AND ON SOLVING OPTIMAL CONTROL PROBLEMS IN NETWORKS. IT INCLUDES THE AUTHORS' NEW FINDINGS ON DETERMINING THE OPTIMAL SOLUTION OF DISCRETE OPTIMAL CONTROL PROBLEMS IN NETWORKS AND ON SOLVING GAME VARIANTS OF MARKOV DECISION PROBLEMS IN THE CONTEXT OF COMPUTATIONAL NETWORKS. FIRST, THE BOOK STUDIES THE FINITE STATE SPACE OF MARKOV PROCESSES AND REVIEWS THE EXISTING METHODS AND ALGORITHMS FOR DETERMINING THE MAIN CHARACTERISTICS IN MARKOV CHAINS, BEFORE PROPOSING NEW APPROACHES BASED ON DYNAMIC PROGRAMMING AND COMBINATORIAL METHODS. CHAPTER TWO IS DEDICATED TO INFINITE HORIZON STOCHASTIC DISCRETE OPTIMAL CONTROL MODELS AND MARKOV DECISION PROBLEMS WITH AVERAGE AND EXPECTED TOTAL DISCOUNTED OPTIMIZATION CRITERIA, WHILE CHAPTER THREE DEVELOPS A SPECIAL GAME-THEORETICAL APPROACH TO MARKOV DECISION PROCESSES AND STOCHASTIC DISCRETE OPTIMAL CONTROL PROBLEMS. IN CLOSING, THE BOOK'S FINAL CHAPTER IS DEVOTED TO FINITE HORIZON STOCHASTIC CONTROL PROBLEMS AND MARKOV DECISION PROCESSES. THE ALGORITHMS DEVELOPED REPRESENT A VALUABLE CONTRIBUTION TO THE IMPORTANT FIELD OF COMPUTATIONAL NETWORK THEORY.
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Críticas
“This book contributes to the systematization of the most relevant existing methods for these problems by introducing new algorithms for solving different classes of stochastic dynamic programming problems. ... The mathematical and computational level of the book will enable students and practitioners to deepen their understanding of the topic. Numerous examples are included to illustrate the proposed algorithms and methods.” (Rosario Romera, Mathematical Reviews, July, 2015)
Reseña del editor
This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory.
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- EditorialSpringer
- Año de publicación2014
- ISBN 10 3319118323
- ISBN 13 9783319118321
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas424
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Optimization of Stochastic Discrete Systems and Control on Complex Networks (Advances in Computational Management Science, 12)
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Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks
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Springer International Publishing, 2014
ISBN 10: 3319118323
ISBN 13: 9783319118321
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Condición: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 424 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 25033674/2
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Optimization of Stochastic Discrete Systems and Control on Complex Networks
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Springer International Publishing Dez 2014, 2014
ISBN 10: 3319118323
ISBN 13: 9783319118321
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors' new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book's final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory. 424 pp. Englisch. Nº de ref. del artículo: 9783319118321
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Optimization of Stochastic Discrete Systems and Control on Complex Networks (Advances in Computational Management Science, 12)
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Optimization of Stochastic Discrete Systems and Control on Complex Networks : Computational Networks
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Springer International Publishing, 2014
ISBN 10: 3319118323
ISBN 13: 9783319118321
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors' new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book's final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory. Nº de ref. del artículo: 9783319118321
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Optimization of Stochastic Discrete Systems and Control on Complex Networks
Publicado por
Springer International Publishing, 2014
ISBN 10: 3319118323
ISBN 13: 9783319118321
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Librería: moluna, Greven, Alemania
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Systematizes the most important existing methods of stochastic dynamic optimizationDescribes new algorithms for solving different classes of stochastic dynamic programming problemsPresents methods to solve practical decision problems from d. Nº de ref. del artículo: 4499129
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