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Intelligent Mathematics II: Applied Mathematics and Approximation Theory, George A. Anastassiou; Oktay Duman


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Автор: George A. Anastassiou; Oktay Duman
Название:  Intelligent Mathematics II: Applied Mathematics and Approximation Theory
ISBN: 9783319303208
Издательство: Springer
Классификация:



ISBN-10: 3319303201
Обложка/Формат: Soft cover
Страницы: 502
Вес: 0.79 кг.
Дата издания: 23.03.2016
Серия: Advances in Intelligent Systems and Computing
Язык: English
Издание: 1st ed. 2016
Иллюстрации: 45 illustrations, color; 9 illustrations, black and white; xv, 502 p. 54 illus., 45 illus. in color.
Размер: 234 x 156 x 27
Читательская аудитория: General (us: trade)
Основная тема: Computational Intelligence
Подзаголовок: Contributions from amat 2015
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This specialvolume is a collection of outstanding more applied articles presented in AMAT2015 held in Ankara, May 28-31, 2015, at TOBB Economics and TechnologyUniversity.The collectionis suitable for Applied and Computational Mathematics and Engineeringpractitioners, also for related graduate students and researchers.


Approximation Methods in Probability Theory

Автор: ?ekanavi?ius
Название: Approximation Methods in Probability Theory
ISBN: 3319340719 ISBN-13(EAN): 9783319340715
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion formulas, the Stein method as well as the methods of convolutions and triangle function. Emphasising the correct usage of the methods presented, each step required for the proofs is examined in detail. As a result, this textbook provides valuable tools for proving approximation theorems.While Approximation Methods in Probability Theory will appeal to everyone interested in limit theorems of probability theory, the book is particularly aimed at graduate students who have completed a standard intermediate course in probability theory. Furthermore, experienced researchers wanting to enlarge their toolkit will also find this book useful.

Topology, calculus and approximation

Автор: Komornik, Vilmos
Название: Topology, calculus and approximation
ISBN: 1447173155 ISBN-13(EAN): 9781447173151
Издательство: Springer
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Цена: 4890.00 р.
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Описание: Presenting basic results of topology, calculus of several variables, and approximation theory which are rarely treated in a single volume, this textbook includes several beautiful, but almost forgotten, classical theorems of Descartes, Erdős, Fejer, Stieltjes, and Turan.

The exposition style of Topology, Calculus and Approximation follows the Hungarian mathematical tradition of Paul Erdős and others. In the first part, the classical results of Alexandroff, Cantor, Hausdorff, Helly, Peano, Radon, Tietze and Urysohn illustrate the theories of metric, topological and normed spaces. Following this, the general framework of normed spaces and Caratheodory's definition of the derivative are shown to simplify the statement and proof of various theorems in calculus and ordinary differential equations. The third and final part is devoted to interpolation, orthogonal polynomials, numerical integration, asymptotic expansions and the numerical solution of algebraic and differential equations.
Students of both pure and applied mathematics, as well as physics and engineering should find this textbook useful. Only basic results of one-variable calculus and linear algebra are used, and simple yet pertinent examples and exercises illustrate the usefulness of most theorems. Many of these examples are new or difficult to locate in the literature, and so the original sources of most notions and results are given to help readers understand the development of the field.

Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques

Автор: Chandra Chekuri; Klaus Jansen; Jos? D.P. Rolim; Lu
Название: Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques
ISBN: 3540282394 ISBN-13(EAN): 9783540282396
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Contains 41 reviewed papers, selected by the two program committees from a total of 101 submissions. Among the issues addressed are design and analysis of approximation algorithms, hardness of approximation, small space and data streaming algorithms, sub-linear time algorithms, embeddings and metric space methods, and more.

Approximation Theory XIII: San Antonio 2010

Автор: Marian Neamtu; Larry L. Schumaker
Название: Approximation Theory XIII: San Antonio 2010
ISBN: 1489997105 ISBN-13(EAN): 9781489997104
Издательство: Springer
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Цена: 25853.00 р.
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Описание: These proceedings were prepared in connection with the international conference Approximation Theory XIII, which was held March 7-10, 2010 in San Antonio, Texas. The conference was the thirteenth in a series of meetings in Approximation Theory held at various locations in the United States. Along with the many plenary speakers, the contributors to this proceedings provided inspiring talks and set a high standard of exposition in their descriptions of new directions for research. Many relevant topics in approximation theory are included in this book, such as abstract approximation, approximation with constraints, interpolation and smoothing, wavelets and frames, shearlets, orthogonal polynomials, univariate and multivariate splines, and complex approximation.

Mathematical Analysis, Approximation Theory and Their Applications

Автор: Rassias
Название: Mathematical Analysis, Approximation Theory and Their Applications
ISBN: 3319312790 ISBN-13(EAN): 9783319312798
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Designed for graduate students, researchers, and engineers in mathematics, optimization, and economics, this self-contained volume presents theory, methods, and applications in mathematical analysis and approximation theory. Specific topics include: approximation of functions by linear positive operators with applications to computer aided geometric design, numerical analysis, optimization theory, and solutions of differential equations. Recent and significant developments in approximation theory, special functions and q-calculus along with their applications to mathematics, engineering, and social sciences are discussed and analyzed. Each chapter enriches the understanding of current research problems and theories in pure and applied research.


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