Description: Discrete-Time Markov Control Processes by Onesimo Hernandez-Lerma, Jean B. Lasserre Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. Publisher Description This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbounded costs and noncompact control constraint sets. MCPs are a class of stochastic control problems, also known as Markov decision processes, controlled Markov processes, or stochastic dynamic pro grams; sometimes, particularly when the state space is a countable set, they are also called Markov decision (or controlled Markov) chains. Regardless of the name used, MCPs appear in many fields, for example, engineering, economics, operations research, statistics, renewable and nonrenewable re source management, (control of) epidemics, etc. However, most of the lit erature (say, at least 90%) is concentrated on MCPs for which (a) the state space is a countable set, and/or (b) the costs-per-stage are bounded, and/or (c) the control constraint sets are compact. But curiously enough, the most widely used control model in engineering and economics--namely the LQ (Linear system/Quadratic cost) model-satisfies none of these conditions. Moreover, when dealing with "partially observable" systems) a standard approach is to transform them into equivalent "completely observable" sys tems in a larger state space (in fact, a space of probability measures), which is uncountable even if the original state process is finite-valued. Author Biography Hernandez-Lerma, CINVESTAV-IPN, Mexico. Details ISBN 1461268842 ISBN-13 9781461268840 Title Discrete-Time Markov Control Processes Author Onesimo Hernandez-Lerma, Jean B. Lasserre Format Paperback Year 2012 Pages 216 Edition 95199th Publisher Springer-Verlag New York Inc. GE_Item_ID:137615527; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 211.95 USD
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End Time: 2024-11-23T03:13:42.000Z
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ISBN-13: 9781461268840
Book Title: Discrete-Time Markov Control Processes
Number of Pages: Xiv, 216 Pages
Publication Name: Discrete-Time Markov Control Processes : Basic Optimality Criteria
Language: English
Publisher: Springer New York
Subject: Probability & Statistics / General, General, Applied
Publication Year: 2012
Type: Textbook
Item Weight: 12.9 Oz
Author: Onesimo Hernandez-Lerma, Jean B. Lasserre
Item Length: 9.3 in
Subject Area: Mathematics, Technology & Engineering
Item Width: 6.1 in
Series: Stochastic Modelling and Applied Probability Ser.
Format: Trade Paperback
