Dynamic Probabilistic Systems, Volume I
Title | Dynamic Probabilistic Systems, Volume I PDF eBook |
Author | Ronald A. Howard |
Publisher | Courier Corporation |
Pages | 610 |
Release | 2007-06-05 |
Genre | Mathematics |
ISBN | 0486458709 |
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, Volume II
Title | Dynamic Probabilistic Systems, Volume II PDF eBook |
Author | Ronald A. Howard |
Publisher | Courier Corporation |
Pages | 857 |
Release | 2013-01-18 |
Genre | Mathematics |
ISBN | 0486152006 |
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, Volume I
Title | Dynamic Probabilistic Systems, Volume I PDF eBook |
Author | Ronald A. Howard |
Publisher | Courier Corporation |
Pages | 610 |
Release | 2012-05-04 |
Genre | Mathematics |
ISBN | 0486140679 |
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, begins with the basic Markov model, proceeding to systems analyses of linear processes and Markov processes, transient Markov processes and Markov process statistics, and statistics and inference. Subsequent chapters explore recurrent events and random walks, Markovian population models, and time-varying Markov processes. Volume I concludes with a pair of helpful indexes.
Dynamic Probabilistic Systems: Markov models
Title | Dynamic Probabilistic Systems: Markov models PDF eBook |
Author | Ronald A. Howard |
Publisher | |
Pages | 12 |
Release | 1971 |
Genre | Markov processes |
ISBN |
Decision Processes in Dynamic Probabilistic Systems
Title | Decision Processes in Dynamic Probabilistic Systems PDF eBook |
Author | A.V. Gheorghe |
Publisher | Springer Science & Business Media |
Pages | 370 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 9400904932 |
'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.
Dynamic probabilistic systems
Title | Dynamic probabilistic systems PDF eBook |
Author | Ronald A. Howard |
Publisher | |
Pages | 0 |
Release | 1971 |
Genre | |
ISBN |
Markov Models
Title | Markov Models PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 1971 |
Genre | |
ISBN | 9780471416654 |