Mathematical Foundations of Data Science Using R, Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
Автор: Peter A. Fejer; Dan A. Simovici Название: Mathematical Foundations of Computer Science ISBN: 1461277922 ISBN-13(EAN): 9781461277927 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mathematical Foundations of Computer Science, Volume I is the first of two volumes presenting topics from mathematics (mostly discrete mathematics) which have proven relevant and useful to computer science.
Автор: Beran, Jan Название: Mathematical Foundations of Time Series Analysis ISBN: 3319743783 ISBN-13(EAN): 9783319743783 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis.
Автор: Jin-Yi Cai, Xi Chen Название: Complexity Dichotomies for Counting Problems: Volume 1, Boolean Domain ISBN: 1107062373 ISBN-13(EAN): 9781107062375 Издательство: Cambridge Academ Рейтинг: Цена: 155230.00 T Наличие на складе: Невозможна поставка. Описание: Complexity theory aims to understand and classify computational problems according to their inherent complexity. This book uses new techniques to expand the theory for use with counting problems on the Boolean domain and is broadly accessible to researchers and graduate students.
Автор: Vetterli Название: Foundations of Signal Processing ISBN: 110703860X ISBN-13(EAN): 9781107038608 Издательство: Cambridge Academ Рейтинг: Цена: 69690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive, accessible textbook covers the basics of signal processing, building up from fundamental principles to practical applications. It uses engineering notation to make mathematical concepts easy to follow, includes numerous homework problems and is accompanied by an extensive Mathematica (R) companion and instructor solutions manual.
Автор: Gin? Название: Mathematical Foundations of Infinite-Dimensional Statistical Models ISBN: 1107043166 ISBN-13(EAN): 9781107043169 Издательство: Cambridge Academ Рейтинг: Цена: 99270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.
Название: Mathematical and Numerical Foundations of Turbulence Models ISBN: 149390454X ISBN-13(EAN): 9781493904549 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph provides a detailed look at eddy viscosity models from theoretical and numerical angles. In particular, it gives a rigorous derivation of these models and shows through careful analysis how they can be applied to oceanic and atmospheric flows.
Автор: Tom?s Chac?n Rebollo; Roger Lewandowski Название: Mathematical and Numerical Foundations of Turbulence Models and Applications ISBN: 1493951750 ISBN-13(EAN): 9781493951758 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph provides a detailed look at eddy viscosity models from theoretical and numerical angles. In particular, it gives a rigorous derivation of these models and shows through careful analysis how they can be applied to oceanic and atmospheric flows.
Автор: Jeffrey Humpherys, Tyler Jarvis, Emily J. Evans Название: Foundations of Applied Mathematics, Volume 1: Mathematical Analysis ISBN: 1611974895 ISBN-13(EAN): 9781611974898 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 79420.00 T Наличие на складе: Невозможна поставка. Описание: This book provides the foundations of both linear and nonlinear analysis necessary for understanding and working in twenty-first century applied and computational mathematics. In addition to the standard topics, this text includes several key concepts of modern applied mathematical analysis that should be, but are not typically, included in advanced undergraduate and beginning graduate mathematics curricula. This material is the introductory foundation upon which algorithm analysis, optimization, probability, statistics, differential equations, machine learning, and control theory are built. When used in concert with the free supplemental lab materials, this text teaches students both the theory and the computational practice of modern mathematical analysis. Foundations of Applied Mathematics, Volume 1: Mathematical Analysis includes several key topics not usually treated in courses at this level, such as uniform contraction mappings, the continuous linear extension theorem, Daniell–Lebesgue integration, resolvents, spectral resolution theory, and pseudospectra. Ideas are developed in a mathematically rigorous way and students are provided with powerful tools and beautiful ideas that yield a number of nice proofs, all of which contribute to a deep understanding of advanced analysis and linear algebra. Carefully thought out exercises and examples are built on each other to reinforce and retain concepts and ideas and to achieve greater depth. Associated lab materials are available that expose students to applications and numerical computation and reinforce the theoretical ideas taught in the text. The text and labs combine to make students technically proficient and to answer the age-old question, ""When am I going to use this?
Автор: Wazwaz Abdul-Majid Название: First Course In Integral Equations, A (Second Edition) ISBN: 9814675121 ISBN-13(EAN): 9789814675123 Издательство: World Scientific Publishing Рейтинг: Цена: 42240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This second edition integrates the newly developed methods with classical techniques to give both modern and powerful approaches for solving integral equations.
Автор: Herman J. Bierens Название: Introduction to the Mathematical and Statistical Foundations of Econometrics ISBN: 0521542243 ISBN-13(EAN): 9780521542241 Издательство: Cambridge Academ Рейтинг: Цена: 44350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.
Автор: Gross, Benedict H., Название: Fat chance : ISBN: 1108728189 ISBN-13(EAN): 9781108728188 Издательство: Cambridge Academ Рейтинг: Цена: 25350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.
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