Markov decision processes (MDPs), also called stochastic dynamic programming, were first studi...
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The structure of approximate solutions of autonomous discrete-time optimal control problems and i...
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Cooperative systems are pervasive in a multitude of environments and at all levels. We find th...
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This book serves as an introductory text to optimization theory in normed spaces and covers all a...
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During the last four decades there has been a remarkable development in optimization and optim...
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This book deals mainly with the study of convex functions and their behavior from the point of vi...
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This volume collects research papers addressing topical issues in economics and management with a...
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Set-valued analysis is an essential tool for the mathematical formulation of many real-life situa...
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Devoted to the structure of approximate solutions of discrete-time optimal control problems and a...
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This book is devoted to the study of the turnpike phenomenon and describes the existence of solut...
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Since the days of Lev Pontryagin and his associates, the discipline of Optimal Control has enjoye...
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This book discusses recent developments in the vast domain of optimization. Featuring papers pres...
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