Many of problems of the natural sciences lead to nonlinear partial differential equations. However, only a few of them have ...
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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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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 ...
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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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This book discusses the statistical methods most often applied for such adjustments, ranging from ad hoc procedures to regression-based ...
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This book presents a set of basic techniques for estimating the benefit of IT development projects and portfolios. It also ...
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