Foundations of Discrete Harmonic Analysis, Malozemov Vasily N., Masharsky Sergey M.

Автор: Hsing Tailen
Название: Theoretical Foundations of Functional Data Analysis, with an
ISBN: 0470016914 ISBN-13(EAN): 9780470016916
Издательство: Wiley
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Цена: 69640.00 T
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Описание: ?? Provides a concise but rigorous account of the theoretical background of FDA. ?? Introduces topics in various areas of mathematics, probability and statistics from the perspective of FDA. ?? Presents a systematic exposition of the fundamental statistical issues in FDA.

Автор: Costello
Название: Factorization Algebras in Quantum Field Theory
ISBN: 1107163102 ISBN-13(EAN): 9781107163102
Издательство: Cambridge Academ
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Цена: 146790.00 T
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Описание: Ideal for researchers and graduates in mathematics and physics, this volume develops factorization algebras while highlighting examples exhibiting their use in field theory, such as the recovery of a vertex algebra from a chiral conformal field theory. This first volume also includes expositions of the relevant background in homological algebra, sheaves and functional analysis.

Автор: Karlheinz Gr?chenig
Название: Foundations of Time-Frequency Analysis
ISBN: 1461265681 ISBN-13(EAN): 9781461265689
Издательство: Springer
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Цена: 83850.00 T
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Описание: Time-frequency analysis is a modern branch of harmonic analysis. The topics range from the elemen- tary theory of the short-time Fourier transform and classical results about the Wigner distribution via the recent theory of Gabor frames to quantita- tive methods in time-frequency analysis and the theory of pseudodifferential operators.

Автор: Radomir Stankovic; Paul Leo Butzer; William R. Wad
Название: Dyadic Walsh Analysis from 1924 Onwards Walsh-Gibbs-Butzer Dyadic Differentiation in Science Volume 1 Foundations
ISBN: 9462391599 ISBN-13(EAN): 9789462391598
Издательство: Springer
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Цена: 88500.00 T
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Описание: Dyadic (Walsh) analysis emerged as a new research area in applied mathematics and engineering in early seventies within attempts to provide answers to demands from practice related to application of spectral analysis of different classes of signals, including audio, video, sonar, and radar signals.

Автор: Jewgeni H. Dshalalow
Название: Foundations of Abstract Analysis
ISBN: 149394388X ISBN-13(EAN): 9781493943883
Издательство: Springer
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Цена: 74490.00 T
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Описание: The first of a two book series which comprises the expanded second edition of the previously published text Real Analysis, this volume covers topics in point-set topology and measure and integration. Includes examples and figures, and some 580 problems.

Автор: K. Hinderer
Название: Foundations of Non-stationary Dynamic Programming with Discrete Time Parameter
ISBN: 3540049568 ISBN-13(EAN): 9783540049562
Издательство: Springer
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Цена: 102480.00 T
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Описание: dynamic programming under risk, dynamic programming under uncertainty, Markovian models, stationary models, and models with finite horizon from a unified point of view.

Автор: Jeffrey Humpherys, Tyler J. Jarvis
Название: Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization
ISBN: 1611976057 ISBN-13(EAN): 9781611976052
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Невозможна поставка.
Описание: In this second book of what will be a four-volume series, the authors present, in a mathematically rigorous way, the essential foundations of both the theory and practice of algorithms, approximation, and optimization—essential topics in modern applied and computational mathematics. This material is the introductory framework upon which algorithm analysis, optimization, probability, statistics, machine learning, and control theory are built. This text gives a unified treatment of several topics that do not usually appear together: the theory and analysis of algorithms for mathematicians and data science students; probability and its applications; the theory and applications of approximation, including Fourier series, wavelets, and polynomial approximation; and the theory and practice of optimization, including dynamic optimization.When used in concert with the free supplemental lab materials, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization teaches not only the theory but also the computational practice of modern mathematical methods. Exercises and examples build upon each other in a way that continually reinforces previous ideas, allowing students to retain learned concepts while achieving a greater depth. The mathematically rigorous lab content guides students to technical proficiency and answers the age-old question “When am I going to use this?”This textbook is geared toward advanced undergraduate and beginning graduate students in mathematics, data science, or machine learning.

Автор: Knebl Helmut
Название: Algorithms and Data Structures: Foundations and Probabilistic Methods for Design and Analysis
ISBN: 3030597571 ISBN-13(EAN): 9783030597573
Издательство: Springer
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Цена: 46570.00 T
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Описание: To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm.

Автор: Phillips Jeff M.
Название: Mathematical Foundations for Data Analysis
ISBN: 3030623408 ISBN-13(EAN): 9783030623401
Издательство: Springer
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Цена: 51230.00 T
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Описание: This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis.

Автор: Farmakis Ioannis
Название: Fixed Point Theorems and Their Applications
ISBN: 9814458910 ISBN-13(EAN): 9789814458917
Издательство: World Scientific Publishing
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Цена: 84480.00 T
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Описание: This is the only book that deals comprehensively with fixed point theorems throughout mathematics. Their importance is due, as the book demonstrates, to their wide applicability. Beyond the first chapter, each of the other seven can be read independently of the others so the reader has much flexibility to follow his/her own interests. The book is written for graduate students and professional mathematicians and could be of interest to physicists, economists and engineers.