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Analyzes, for the first time, the key concepts and general methods used in studying complexity in statistical physics, evolutionary biology, and economics. It highlights the features common to each area, and describes how we understand and deal with complexity.
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Much of the material that the author presents is original and many results have never appeared in book form before. A comprehensive bibliography completes this work which will... Læs mere
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This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework... Læs mere
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A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency,... Læs mere
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This book presents a comprehensive and consistent theory of estimation. The framework described leads naturally to a powerful new tool, the generalized maximum capacity... Læs mere
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This accessible text provides detailed coverage of the core mathematical concepts underpinning signal processing, focusing on the relationship between theory and... Læs mere
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Unifying information theory and digital communication through the language... Læs mere
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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering... Læs mere
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Drawing on ideas from information theory and signal processing, this authoritative text covers the fundamentals of wireless and MIMO communication, all the way to... Læs mere
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A unified treatment of the latest game theoretic approaches for designing, modeling, and optimizing... Læs mere
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Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal. This tutorial text explains... Læs mere
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Largely devoted to the problems of adaptive regulation, tracking and identification, this book presents a unifying system-theoretic view on the problem of adaptation in... Læs mere