Although, bifurcation theory of equations with autonomous and periodic time dependence is a major object of research in the ...
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This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
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This book includes a self-contained approach of the general theory of quadratic forms and integral Euclidean lattices.It ...
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Most known examples of Lie superalgebras with a related automorphic form such as the Fake Monster Lie algebra whose reflection ...
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This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance ...
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The authors have presented an extensive revision of the first edition of the Averaging Methods in Nonlinear Dynamical Systems ...
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AC, the axiom of choice, because of its non-constructive character, is the most controversial mathematical axiom, shunned ...
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Bandwidth Extension of Speech Signals provides discussion on different approaches for efficient and robust bandwidth extension ...
Lire la suiteProvides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data ...
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Basic Algebra and Advanced Algebra systematically develop concepts and tools in algebra that are vital to every mathematician, ...
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This book aims to present a general survey of algebra, of its basic notions and main branches.Those parts of the book devoted ...
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This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, ...
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This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. ...
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Basic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts ...
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This handbook brings together the theoretical basics of fluid dynamics with a systemaic overview of the appropriate numerical ...
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R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
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This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
Lire la suiteThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
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Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
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Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
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