Title
Dynamic Probabilistic Systems, Volume Ii: Semimarkov And Decision Processes (Dover Books On Mathematics)-new
Delivery time: 8-12 business days (International)
This Book Is An Integrated Work Published In Two Volumes. The First Volume Treats The Basic Markov Process And Its Variants; The Second, Semimarkov 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 Continuoustime Semimarkov Processes, Continuoustime 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.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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