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Decision Processes in Dynamic Probabilistic Systems

Decision Processes in Dynamic Probabilistic Systems PDF Author: A.V. Gheorghe
Publisher: Springer Science & Business Media
ISBN: 9400904932
Category : Mathematics
Languages : en
Pages : 370

Book Description
'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.

Decision Processes in Dynamic Probabilistic Systems

Decision Processes in Dynamic Probabilistic Systems PDF Author: A.V. Gheorghe
Publisher: Springer Science & Business Media
ISBN: 9400904932
Category : Mathematics
Languages : en
Pages : 370

Book Description
'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.

Decision Processes in Dynamic Probabilistic Systems

Decision Processes in Dynamic Probabilistic Systems PDF Author: A V Gheorghe
Publisher:
ISBN: 9789400904941
Category :
Languages : en
Pages : 376

Book Description


Dynamic Probabilistic Systems, Volume II

Dynamic Probabilistic Systems, Volume II PDF Author: Ronald A. Howard
Publisher: Courier Corporation
ISBN: 0486152006
Category : Mathematics
Languages : en
Pages : 857

Book Description
This book is an integrated work published in two volumes. The first volume treats the basic Markov process and its variants; the second, semi-Markov and decision processes. Its intent is to equip readers to formulate, analyze, and evaluate simple and advanced Markov models of systems, ranging from genetics and space engineering to marketing. More than a collection of techniques, it constitutes a guide to the consistent application of the fundamental principles of probability and linear system theory. Author Ronald A. Howard, Professor of Management Science and Engineering at Stanford University, continues his treatment from Volume I with surveys of the discrete- and continuous-time semi-Markov processes, continuous-time Markov processes, and the optimization procedure of dynamic programming. The final chapter reviews the preceding material, focusing on the decision processes with discussions of decision structure, value and policy iteration, and examples of infinite duration and transient processes. Volume II concludes with an appendix listing the properties of congruent matrix multiplication.

Dynamic Probabilistic Systems: Semi-Markov and decision processes

Dynamic Probabilistic Systems: Semi-Markov and decision processes PDF Author: Ronald A. Howard
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 582

Book Description


Dynamic Probabilistic Systems, Volume I

Dynamic Probabilistic Systems, Volume I PDF Author: Ronald A. Howard
Publisher: Courier Corporation
ISBN: 0486458709
Category : Mathematics
Languages : en
Pages : 610

Book Description
An integrated work in two volumes, this text teaches readers to formulate, analyze, and evaluate Markov models. The first volume treats basic process; the second, semi-Markov and decision processes. 1971 edition.

Dynamic Probabilistic Systems: Markov models

Dynamic Probabilistic Systems: Markov models PDF Author: Ronald A. Howard
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 12

Book Description


Semi-Markov and Decision Processes

Semi-Markov and Decision Processes PDF Author: Ronald A. Howard
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Markov Decision Processes

Markov Decision Processes PDF Author: Martin L. Puterman
Publisher: John Wiley & Sons
ISBN: 1118625870
Category : Mathematics
Languages : en
Pages : 544

Book Description
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential." —Zentralblatt fur Mathematik ". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes." —Journal of the American Statistical Association

Markov Decision Processes with Their Applications

Markov Decision Processes with Their Applications PDF Author: Qiying Hu
Publisher: Springer Science & Business Media
ISBN: 0387369511
Category : Business & Economics
Languages : en
Pages : 305

Book Description
Put together by two top researchers in the Far East, this text examines Markov Decision Processes - also called stochastic dynamic programming - and their applications in the optimal control of discrete event systems, optimal replacement, and optimal allocations in sequential online auctions. This dynamic new book offers fresh applications of MDPs in areas such as the control of discrete event systems and the optimal allocations in sequential online auctions.

Continuous-Time Markov Decision Processes

Continuous-Time Markov Decision Processes PDF Author: Alexey Piunovskiy
Publisher: Springer Nature
ISBN: 3030549879
Category : Mathematics
Languages : en
Pages : 605

Book Description
This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields. Unlike most books on the subject, much attention is paid to problems with functional constraints and the realizability of strategies. Three major methods of investigations are presented, based on dynamic programming, linear programming, and reduction to discrete-time problems. Although the main focus is on models with total (discounted or undiscounted) cost criteria, models with average cost criteria and with impulsive controls are also discussed in depth. The book is self-contained. A separate chapter is devoted to Markov pure jump processes and the appendices collect the requisite background on real analysis and applied probability. All the statements in the main text are proved in detail. Researchers and graduate students in applied probability, operational research, statistics and engineering will find this monograph interesting, useful and valuable.