Titlebook: Optimization, Control, and Applications of Stochastic Systems; In Honor of Onésimo Daniel Hernández-Hernández,J. Adolfo Minjárez-Sosa Book

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Alexey Piunovskiy,Yi Zhangck and the consequently high and volatile price of energy, the first policies to promote conservation were forged largely in response to concerns about the adequacy of future energy resources. Exhortations to ‘save’ energy were paralleled by regulations that sought to prevent its unnecessary waste i

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Richard H. Stockbridge,Chao Zhuility, and few reforms are needed; for others there may be no sensible alternative to an early demise. Where on the spectrum does the United Nations lie? Today most observers agree that the United Nations — in its administration, its operations and its structure — is seriously flawed. There are call

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On the Policy Iteration Algorithm for Nondegenerate Controlled Diffusions Under the Ergodic Criterins Automat Control 42:1663–1680, 1997) for discrete-time controlled Markov chains. The model in (Meyn, IEEE Trans Automat Control 42:1663–1680, 1997) uses norm-like running costs, while we opt for the milder assumption of near-monotone costs. Also, instead of employing a blanket Lyapunov stability h

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Sample-Path Optimality in Average Markov Decision Chains Under a Double Lyapunov Function Conditione main structural condition on the model is that the cost function has a Lyapunov function . and that a power larger than two of . also admits a Lyapunov function. In this context, the existence of optimal stationary policies in the (strong) sample-path sense is established, and it is shown that the

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Approximation of Infinite Horizon Discounted Cost Markov Decision Processes,unction. Based on Lipschitz continuity of the elements of the control model, we propose a state and action discretization procedure for approximating the optimal value function and an optimal policy of the original control model. We provide explicit bounds on the approximation errors.

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