This was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on ...
Continue readingSemantics will have an important role to play in the future development of software systems and domain specific languages, ...
Continue readingThis book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems ...
Continue readingIncreasingly, academic and industrial leaders are recognizing that college graduates need new skills to address business ...
Continue readingSet-valued analysis is an essential tool for the mathematical formulation of many real-life situations, e.g., equilibrium ...
Continue readingShock and Damage Models in Reliability Theory is the first book to describe the reliability properties and maintenance policies ...
Continue readingMarkov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, ...
Continue readingSocial computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces ...
Continue readingIn this book, multiple authors working on the application of social media in projects come together to craft an agenda for ...
Continue readingProvides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular ...
Continue readingThis open access book applies for the first time emerging concepts of socioeconomics to analyse an economic sector, namely ...
Continue readingThis edited volume is the proceedings of the 2006 International Conference on Soft Methods in Probability and Statistics ...
Continue reading(Four areas in one book) This book covers various disciplines in learning and optimization, including perturbation analysis ...
Continue readingSTOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the theoretical ...
Continue readingOptimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, ...
Continue readingStochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study ...
Continue readingThis book presents stochastic processes, control theory, differential games, optimization, and their applications in finance, ...
Continue readingSampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers ...
Continue readingFocuses on leadership and strategy, corporate governance, operational excellence, and corporate social responsibility. In ...
Continue readingMore and more often practitioners in process industry have to adapt their global production networks to changes in the competitive ...
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