This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
Continue readingThis book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of ...
Continue readingThis monograph, divided into four parts, presents a comprehensive treatment and systematic examination of cycle spaces of ...
Continue readingThis monograph, divided into four parts, presents a comprehensive treatment and systematic examination of cycle spaces of ...
Continue readingCyclotomic fields have always occupied a central place in number theory, and the so called "main conjecture" on cyclotomic ...
Continue readingCyclotomic fields have always occupied a central place in number theory, and the so called "main conjecture" on cyclotomic ...
Continue readingIts objective is to present various numerical methods for solving certain mathematical problems on the computer that cannot ...
Continue readingThis textbook is an introduction to Scientific Calculus, illustrating various numerical methods for the computer solution ...
Continue readingD-modules continues to be an active area of stimulating research in such mathematical areas as algebra, analysis, differential ...
Continue readingThis book presents the Darboux transformations in matrix form and provides purely algebraic algorithms for constructing the ...
Continue readingThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Continue readingThe preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full ...
Continue readingPresents advances in data analysis and decision support and gives an actual overview on the interface between mathematics, ...
Continue readingThis book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Continue readingThis book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic ...
Continue readingThis volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications ...
Continue readingPresents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses ...
Continue readingData Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation ...
Continue readingThis textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental ...
Continue readingSince its inception, R has become one of the preeminent programs for statistical computing and data analysis. The ready availability ...
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