This book presents the latest findings on shastic 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 shastic 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 shastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon shastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory.
1120327878
Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks
This book presents the latest findings on shastic 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 shastic 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 shastic discrete optimal control problems. In closing, the book’s final chapter is devoted to finite horizon shastic control problems and Markov decision processes. The algorithms developed represent a valuable contribution to the important field of computational network theory.
109.99
In Stock
5
1
Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks
400
Optimization of Stochastic Discrete Systems and Control on Complex Networks: Computational Networks
400Paperback(Softcover reprint of the original 1st ed. 2015)
$109.99
109.99
In Stock
Product Details
| ISBN-13: | 9783319358734 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 12/11/2015 |
| Series: | Advances in Computational Management Science , #12 |
| Edition description: | Softcover reprint of the original 1st ed. 2015 |
| Pages: | 400 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.03(d) |
About the Author
From the B&N Reads Blog