Optimization of Stochastic Discrete Systems and Control on Complex Networks - Computational Networks (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Computational Management Science, 12
Release date:	December 2014
First published:	2015
Authors:	Dmitrii Lozovanu • Stefan Pickl
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	400
Edition:	2015 ed.
ISBN-13:	978-3-319-11832-1
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Promotions
LSN:	3-319-11832-3
Barcode:	9783319118321

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