Fourier Analysis and Convexity, Luca Brandolini; Leonardo Colzani; Alex Iosevich;

Автор: Luca Brandolini; Leonardo Colzani; Alex Iosevich;
Название: Fourier Analysis and Convexity
ISBN: 146126474X ISBN-13(EAN): 9781461264743
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: in the past, study of this relationship has led to important mathematical advancesPresents new results and applications to diverse fields such as geometry, number theory, and analysisContributors are leading experts in their respective fieldsWill be of interest to both pure and applied mathematicians

Автор: Lauritzen Niels
Название: Undergraduate Convexity: From Fourier and Motzkin to Kuhn and Tucker
ISBN: 9814452769 ISBN-13(EAN): 9789814452762
Издательство: World Scientific Publishing
Рейтинг:
Цена: 39070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples.Starting from linear inequalities and Fourier-Motzkin elimination, the theory is developed by introducing polyhedra, the double description method and the simplex algorithm, closed convex subsets, convex functions of one and several variables ending with a chapter on convex optimization with the Karush-Kuhn-Tucker conditions, duality and an interior point algorithm. Study Guide here

Автор: Nicolas Hadjisavvas; Juan E. Martinez-Legaz; Jean-
Название: Generalized Convexity and Generalized Monotonicity
ISBN: 3540418067 ISBN-13(EAN): 9783540418061
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains a selection of refereed papers presented at the 6th International Symposium on Generalized Convexity/Monotonicity, and aims to review the latest developments in this interdisciplinary field.

Автор: H. H?llein; N. Boboc; G. Bucur; A. Cornea
Название: Order and Convexity in Potential Theory
ISBN: 3540106928 ISBN-13(EAN): 9783540106920
Издательство: Springer
Рейтинг:
Цена: 32560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Karim Adiprasito; Imre B?r?ny; Costin Vilcu
Название: Convexity and Discrete Geometry Including Graph Theory
ISBN: 3319281844 ISBN-13(EAN): 9783319281841
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents easy-to-understand yet surprising properties obtained using topological, geometric and graph theoretic tools in the areas covered by the Geometry Conference that took place in Mulhouse, France from September 7-11, 2014 in honour of Tudor Zamfirescu on the occasion of his 70th anniversary.

Автор: Roberto Lucchetti
Название: Convexity and Well-Posed Problems
ISBN: 1441921117 ISBN-13(EAN): 9781441921116
Издательство: Springer
Рейтинг:
Цена: 62380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: We shall consider convex functions from the most modern point of view: a function is de?ned to be convex whenever its epigraph, the set of the points lying above the graph, is a convex set. Except for trivial cases, the minimum value must be taken at a point where the function is not +?, hence at a point in the constraint set.

Автор: Bernhard Kawohl
Название: Rearrangements and Convexity of Level Sets in PDE
ISBN: 3540156933 ISBN-13(EAN): 9783540156932
Издательство: Springer
Рейтинг:
Цена: 23250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Sandor Komlosi; Tamas Rapcsak; Siegfried Schaible
Название: Generalized Convexity
ISBN: 354057624X ISBN-13(EAN): 9783540576242
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Generalizations of the classical concept of a convex function have been proposed in various fields. In addition to listing new results in more established areas of generalized convexity theory, this study presents developments in emerging fields and a number of applications.

Автор: Lovasz, Laszlo
Название: Algorithmic theory of numbers, graphs and convexity
ISBN: 0898712033 ISBN-13(EAN): 9780898712032
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 44310.00 T
Наличие на складе: Невозможна поставка.
Описание: A study of how complexity questions in computing interact with classical mathematics in the numerical analysis of issues in algorithm design. Algorithmic designers concerned with linear and nonlinear combinatorial optimization will find this volume especially useful.

Автор: Monique Florenzano; P. Gourdel; Cuong Le Van
Название: Finite Dimensional Convexity and Optimization
ISBN: 3642625703 ISBN-13(EAN): 9783642625701
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses convex analysis, the basic underlying structure of argumentation in economic theory. The text is aimed at senior undergraduate students, graduate students, and specialists of mathematical programming who are undertaking research into applied mathematics and economics.

Автор: Andrew Eberhard; Nicolas Hadjisavvas; D.T. Luc
Название: Generalized Convexity, Generalized Monotonicity and Applications
ISBN: 1441936475 ISBN-13(EAN): 9781441936479
Издательство: Springer
Рейтинг:
Цена: 194730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years there is a growing interest in generalized convex fu- tions and generalized monotone mappings among the researchers of - plied mathematics and other sciences.

Автор: Eugene Fink; Derick Wood
Название: Restricted-Orientation Convexity
ISBN: 3642623239 ISBN-13(EAN): 9783642623233
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The authors explore the properties of this generalized convexity in multidimensional Euclidean space, and describ restricted-orientation analogs of lines, hyperplanes, flats, halfspaces, and identify major properties of standard convex sets that also hold for restricted-orientation convexity.