Postgraduates, researchers, and practitioners in reliability engineering, maintenance engineering, operations research, industrial ...
WeiterlesenRetrial Queueing Systems: A Computational Approach also Presents motivating examples in telephone and computer networks. Establishes ...
WeiterlesenPresents various concepts and applications related to risk-conscious operations management. It also provides an overview ...
WeiterlesenSearch Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, ...
WeiterlesenThis was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on ...
WeiterlesenThis book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems ...
WeiterlesenIncreasingly, academic and industrial leaders are recognizing that college graduates need new skills to address business ...
WeiterlesenSet-valued analysis is an essential tool for the mathematical formulation of many real-life situations, e.g., equilibrium ...
WeiterlesenShock and Damage Models in Reliability Theory is the first book to describe the reliability properties and maintenance policies ...
WeiterlesenMarkov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, ...
WeiterlesenSocial computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces ...
WeiterlesenProvides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular ...
WeiterlesenThis edited volume is the proceedings of the 2006 International Conference on Soft Methods in Probability and Statistics ...
Weiterlesen(Four areas in one book) This book covers various disciplines in learning and optimization, including perturbation analysis ...
WeiterlesenSTOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the theoretical ...
WeiterlesenOptimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
WeiterlesenStochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study ...
WeiterlesenThis book presents stochastic processes, control theory, differential games, optimization, and their applications in finance, ...
WeiterlesenSampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers ...
WeiterlesenMore and more often practitioners in process industry have to adapt their global production networks to changes in the competitive ...
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