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