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This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems.
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This book delves into a rigorous mathematical exploration of the well-posedness and long-time behavior of weak solutions to nonlinear... Læs mere
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This monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields.
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This thesis advances our understanding of how thermal anisotropy can be exploited to extract work through a mechanism that is quite distinct from the classical Carnot heat engine.
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This book covers the latest advancements and applications of nonlinear... Læs mere
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This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces.
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This book delves into the foundational principles governing the treatment of molecular networks and "chemical space"—the comprehensive domain encompassing all physically achievable molecules—from the perspectives of vector space, graph theory, and data science.
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This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. As such, this monograph is suitable for a graduate course on the topic of statistical optimal transport.
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There is a distinction between the Ginibre ensemble with complex entries (GinUE) and those with real or quaternion entries (GinOE and GinSE, respectively).... Læs mere