| 商家名称 | 信用等级 | 购买信息 | 订购本书 |
 |
 |
Markov Decision Processes with Their Applications |  |
 |
|
Markov Decision Processes with Their Applications | |
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.
媒体推荐From the reviews:
"Markov decision processes (MDPs) are one of the most comprehensively investigated branches in mathematics. … Very beneficial also are the notes and references at the end of each chapter. … we can recommend the book … for readers who are familiar with Markov decision theory and who are interested in a new approach to modelling, investigating and solving complex stochastic dynamic decision problems." (Peter K?chel, Mathematical Reviews, Issue 2009 c)
目录Discretetimemarkovdecisionprocesses: Total Reward.- Discretetimemarkovdecisionprocesses: Average Criterion.- Continuous Time Markov Decision Processes.- Semi-Markov Decision Processes.- Markovdecisionprocessesinsemi-Markov Environments.- Optimal control of discrete event systems: I.- Optimal control of discrete event systems: II.- Optimal replacement under stochastic Environments.- Optimalal location in sequential online Auctions.
网友对Markov Decision Processes with Their Applications的评论
喜欢Markov Decision Processes with Their Applications请与您的朋友分享,由于版权原因，读书人网不提供图书下载服务
