Although, bifurcation theory of equations with autonomous and periodic time dependence is a major object of research in the ...
Lire la suiteThis collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students ...
Lire la suiteThis book includes a self-contained approach of the general theory of quadratic forms and integral Euclidean lattices.It ...
Lire la suiteMost known examples of Lie superalgebras with a related automorphic form such as the Fake Monster Lie algebra whose reflection ...
Lire la suiteThis book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance ...
Lire la suiteThe authors have presented an extensive revision of the first edition of the Averaging Methods in Nonlinear Dynamical Systems ...
Lire la suiteAC, the axiom of choice, because of its non-constructive character, is the most controversial mathematical axiom, shunned ...
Lire la suiteBandwidth 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 ...
Lire la suiteBasic Algebra and Advanced Algebra systematically develop concepts and tools in algebra that are vital to every mathematician, ...
Lire la suiteThis book aims to present a general survey of algebra, of its basic notions and main branches.Those parts of the book devoted ...
Lire la suiteThis introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, ...
Lire la suiteThis book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. ...
Lire la suiteBasic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts ...
Lire la suiteThis handbook brings together the theoretical basics of fluid dynamics with a systemaic overview of the appropriate numerical ...
Lire la suiteR's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Lire la suiteThis 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 ...
Lire la suiteProbabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies ...
Lire la suiteBayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The ...
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