| 书目名称 | Optimization of Stochastic Discrete Systems and Control on Complex Networks |
| 副标题 | Computational Networ |
| 编辑 | Dmitrii Lozovanu,Stefan Pickl |
| 视频video | |
| 概述 | Systematizes the most important existing methods of stochastic dynamic optimization.Describes new algorithms for solving different classes of stochastic dynamic programming problems.Presents methods t |
| 丛书名称 | Advances in Computational Management Science |
| 图书封面 |  |
| 描述 | This book presents the latest findings on stochastic dynamic programming models and on solving optimal control problems in networks. It includes the authors’ new findings on determining the optimal solution of discrete optimal control problems in networks and on solving game variants of Markov decision problems in the context of computational networks. First, the book studies the finite state space of Markov processes and reviews the existing methods and algorithms for determining the main characteristics in Markov chains, before proposing new approaches based on dynamic programming and combinatorial methods. Chapter two is dedicated to infinite horizon stochastic discrete optimal control models and Markov decision problems with average and expected total discounted optimization criteria, while Chapter three develops a special game-theoretical approach to Markov decision processes and stochastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon stochastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory. |
| 出版日期 | Book 2015 |
| 关键词 | Complex networks; Discrete optimal control; Game theory; Linear programming; Markov decision process; Sto |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-11833-8 |
| isbn_softcover | 978-3-319-35873-4 |
| isbn_ebook | 978-3-319-11833-8Series ISSN 1388-4301 |
| issn_series | 1388-4301 |
| copyright | Springer International Publishing Switzerland 2015 |
发表于 2025-3-21 17:45:13
