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Decision Processes in Dynamic Probabilistic Systems (Mathematics and its Applications, 42) - Hardcover
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'Et moi -...- si j'avait su comment en revenir. One service mathematics has rendered the je n'y serais point aile: human race. It has put common sense back where it belongs. on the topmost shelf next Jules Verne (0 the dusty canister labelled 'discarded non- sense'. The series is divergent; therefore we may be able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non- linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. .'; 'One service logic has rendered com- puter science .. .'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.
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Decision Processes in Dynamic Probabilistic Systems (Mathematics and its Applications, 42, Band 42) [hardcover] [1990]
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Kluwer Academic Publishers, 1990
ISBN 10: 0792305442
ISBN 13: 9780792305446
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Decision Processes in Dynamic Probabilistic Systems
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Decision Processes in Dynamic Probabilistic Systems (Mathematics and its Applications, 42)
Published by
Kluwer Academic Publishers, 1990
ISBN 10: 0792305442
ISBN 13: 9780792305446
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Decision Processes in Dynamic Probabilistic Systems
Published by
Kluwer Academic Publishers, 1990
ISBN 10: 0792305442
ISBN 13: 9780792305446
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Decision Processes in Dynamic Probabilistic Systems
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Kluwer Academic Publishers, 1990
ISBN 10: 0792305442
ISBN 13: 9780792305446
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Condition: New. Series: Mathematics and its Applications. Num Pages: 376 pages, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 22. Weight in Grams: 703. . 1990. 1990th Edition. hardcover. . . . . Seller Inventory # V9780792305446
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Decision Processes in Dynamic Probabilistic Systems
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Gebunden. Condition: New. 1 Semi-Markov and Markov Chains.- 1.1 Definitions and basic properties.- 1.1.1 Discrete time semi-Markov and Markov behaviour of systems.- 1.1.2 Multi-step transition probability.- 1.1.3 Semi-Markov processes.- 1.1.4 State occupancy and waiting-time statist. Seller Inventory # 5965885
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Decision Processes in Dynamic Probabilistic Systems
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Et moi . si j'avait su comment en revenir. One service mathematics has rendered the je n'y serais point aile: human race. It has put common sense back where it belongs. on the topmost shelf next Jules Verne (0 the dusty canister labelled 'discarded non sense'. The series is divergent; therefore we may be able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics . .'; 'One service logic has rendered com puter science . .'; 'One service category theory has rendered mathematics . .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series. 376 pp. Englisch. Seller Inventory # 9780792305446
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Decision Processes in Dynamic Probabilistic Systems
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Decision Processes in Dynamic Probabilistic Systems
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Decision Processes in Dynamic Probabilistic Systems
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Springer, Springer Jul 1990, 1990
ISBN 10: 0792305442
ISBN 13: 9780792305446
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1 Semi-Markov and Markov Chains.- 1.1 Definitions and basic properties.- 1.2 Algebraic and analytical methods in the study of Markovian systems.- 1.3 Transient and recurrent processes.- 1.4 Markovian populations.- 1.5 Partially observable Markov chains.- 1.6 Rewards and discounting.- 1.7 Models and applications.- 1.8 Dynamic-decision models for clinical diagnosis.- 2 Dynamic and Linear Programming.- 2.1 Discrete dynamic programming.- 2.2 A linear programming formulation and an algorithm for computation.- 3 Utility Functions and Decisions under Risk.- 3.1 Informational lotteries and axioms for utility functions.- 3.2 Exponential utility functions.- 3.3 Decisions under risk and uncertainty; event trees.- 3.4 Probability encoding.- 4 Markovian Decision Processes (Semi-Markov and Markov) with Complete Information (Completely Observable).- 4.1 Value iteration algorithm (the finite horizon case).- 4.2 Policy iteration algorithm (the finite horizon optimization).- 4.3 Policy iteration with discounting.- 4.4 Optimization algorithm using linear programming.- 4.5 Risk-sensitive decision processes.- 4.6 On eliminating sub-optimal decision alternatives in Markov and semi-Markov decision processes.- 5 Partially Observable Markovian Decision Processes.- 5.1 Finite horizon partially observable Markov decision processes.- 5.2 The infinite horizon with discounting for partially observable Markov decision processes.- 5.3 A useful policy iteration algorithm, for discounted ( Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. Seller Inventory # 9780792305446
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