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A Geometry of Approximation, Piero Pagliani; Mihir Chakraborty


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Цена: 48076.00р.
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Автор: Piero Pagliani; Mihir Chakraborty
Название:  A Geometry of Approximation
ISBN: 9789048179350
Издательство: Springer
Классификация:






ISBN-10: 9048179351
Обложка/Формат: Paperback
Страницы: 704
Вес: 1.08 кг.
Дата издания: 30.11.2010
Серия: Trends in Logic
Язык: English
Размер: 234 x 156 x 40
Основная тема: Philosophy
Подзаголовок: Rough Set Theory: Logic, Algebra and Topology of Conceptual Patterns
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: A Geometry of Approximation addresses Rough Set Theory. It focuses mainly on its logic-algebraic interpretation. The theory is embedded in a broader perspective and this is the first book to place Rough Set Theory in a broad historical and applied setting.


Geometry of approximation

Автор: Pagliani, Piero Chakraborty, Mihir
Название: Geometry of approximation
ISBN: 1402086210 ISBN-13(EAN): 9781402086212
Издательство: Springer
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Цена: 48076.00 р.
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Описание: Addresses Rough Set Theory, a field of interdisciplinary research first proposed by Zdzislaw Pawlak in 1982, and focuses mainly on its logic-algebraic interpretation. This title also links many areas of academic pursuit without losing track of its focal point, Rough Sets. It is suitable for researchers, graduate and pre-graduate students.

Mathematics of Approximation

Автор: Johan De Villiers
Название: Mathematics of Approximation
ISBN: 9462390460 ISBN-13(EAN): 9789462390461
Издательство: Springer
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Цена: 9362.00 р.
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Описание: The approximation of a continuous function by either an algebraic polynomial, a trigonometric polynomial, or a spline, is an important issue in application areas like computer-aided geometric design and signal analysis. best uniform polynomial approximation;

Approximation and Online Algorithms

Автор: Evripidis Bampis; Ola Svensson
Название: Approximation and Online Algorithms
ISBN: 3319182625 ISBN-13(EAN): 9783319182629
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 12th International Workshop on Approximation and Online Algorithms, WAOA 2014, held in Wroclaw, Poland, in September 2014 as part of ALGO 2014.

Approximation and Online Algorithms

Автор: Laura Sanit?; Martin Skutella
Название: Approximation and Online Algorithms
ISBN: 3319286838 ISBN-13(EAN): 9783319286839
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 13th International Workshop on Approximation and Online Algorithms, WAOA 2015, held in Patras, Greece, in September 2015 as part of ALGO 2015.The 17 revised full papers presented were carefully reviewed and selected from 40 submissions.

Advances in Optimization and Approximation

Автор: Ding-Zhu Du; Jie Sun
Название: Advances in Optimization and Approximation
ISBN: 0792327853 ISBN-13(EAN): 9780792327851
Издательство: Springer
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Цена: 36197.00 р.
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Описание: Offers a collection of research papers in optimization and approximation that covers the research on optimization problems, including scheduling, location, assignment, linear and nonlinear programming problems as well as problems in molecular biology. This book focuses on algorithmic aspects of research work in optimization.

Wavelets, Approximation, and Statistical Applications

Автор: Wolfgang H?rdle; Gerard Kerkyacharian; Dominique P
Название: Wavelets, Approximation, and Statistical Applications
ISBN: 0387984534 ISBN-13(EAN): 9780387984537
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. Five years ago wavelet theory progressively appeared to be a power- ful framework for nonparametric statistical problems.

Frontiers In Approximation Theory

Автор: Anastassiou George A
Название: Frontiers In Approximation Theory
ISBN: 9814696080 ISBN-13(EAN): 9789814696081
Издательство: World Scientific Publishing
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Цена: 13939.00 р.
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Описание:

This monograph presents the author's work of the last five years in approximation theory. The chapters are self-contained and can be read independently. Readers will find the topics covered are diverse and advanced courses can be taught out of this book.

The first part of the book is dedicated to fractional monotone approximation theory introduced for the first time by the author, taking the related ordinary theory of usual differentiation at the fractional differentiation level with polynomials and splines as approximators. The second part deals with the approximation by discrete singular operators of the Favard style, for example, of the Picard and Gauss-Weierstrass types. Then, it continues in a very detailed and extensive chapter on approximation by interpolating operators induced by neural networks, a connection to computer science. This book ends with the approximation theory and functional analysis on time scales, a very modern topic, detailing all the pros and cons of this method.

The results in this book are expected to find applications in many areas of pure and applied mathematics. So far, very little is written about fractional approximation theory which is at its infancy. As such, it is suitable for researchers, graduate students, and performing seminars as well as an invaluable resource for all science libraries.

The Best Approximation Method in Computational Mechanics

Автор: Theodore V., II Hromadka
Название: The Best Approximation Method in Computational Mechanics
ISBN: 1447120221 ISBN-13(EAN): 9781447120223
Издательство: Springer
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Цена: 13060.00 р.
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Описание: This publication assists the computer modeller in his search for the best approximation by presenting functional analysis concepts. The Best Approximation Method in Computational Mechanics serves as an introduction to functional analysis and mathematical analysis of computer modelling algorithms.

Kernel-Based Approximation Methods Using Matlab

Автор: Fasshauer Gregory E Et Al
Название: Kernel-Based Approximation Methods Using Matlab
ISBN: 9814630136 ISBN-13(EAN): 9789814630139
Издательство: World Scientific Publishing
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Цена: 11246.00 р.
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Описание: In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as strategies to address long-standing problems. Examples are drawn from fields as diverse as function approximation, spatial statistics, boundary value problems, machine learning, surrogate modeling and finance. Researchers from those and other fields can recreate the results within using the documented MATLAB code, also available through the online library. This combination of a strong theoretical foundation and accessible experimentation empowers readers to use positive definite kernels on their own problems of interest.

Multiscale, Nonlinear and Adaptive Approximation

Автор: Ronald DeVore; Angela Kunoth
Название: Multiscale, Nonlinear and Adaptive Approximation
ISBN: 3642424570 ISBN-13(EAN): 9783642424571
Издательство: Springer
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Цена: 33401.00 р.
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Описание: Introduction: Wolfgang Dahmen's mathematical work.- The way things were in multivariate splines: A personal view.- On the efficient computation of high-dimensional integrals and the approximation by exponential sums.- Adaptive and anisotropic piecewise polynomial approximation.- Anisotropic function spaces with applications.- Nonlinear approximation and its applications.- Univariate subdivision and multi-scale transforms: The nonlinear case.- Rapid solution of boundary integral equations by wavelet Galerkin schemes.- Learning out of leaders.- Optimized wavelet preconditioning.- Multiresolution schemes for conservation laws.- Theory of adaptive finite element methods: An introduction.- Adaptive wavelet methods for solving operator equations: An overview.- Optimal multilevel methods for (grad), (curl), and (div) systems on graded and unstructured grids.

Shape-Preserving Approximation by Real and Complex Polynomials

Автор: Sorin G. Gal; George A. Anastassiou
Название: Shape-Preserving Approximation by Real and Complex Polynomials
ISBN: 0817647023 ISBN-13(EAN): 9780817647025
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This monograph presents the first comprehensive treatment in book form of shape-preserving approximation by real or complex polynomials in one or several variables. Such approximation methods are useful in many problems that arise in science and engineering and require an optimal mathematical representation of physical reality.

Approximation Algorithms for Combinatorial Optimization

Автор: Klaus Jansen; Jose Rolim
Название: Approximation Algorithms for Combinatorial Optimization
ISBN: 3540647368 ISBN-13(EAN): 9783540647362
Издательство: Springer
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Цена: 9781.00 р.
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Описание: A volume of 17 papers from a workshop on approximation algorithms for combinatorial optimization. They address the design and analysis of approximation algorithms, inapproximability results, on-line problems, randomization techniques, average-case analysis, scheduling problems, and applications.


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