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