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