Автор: Eric Carlen; Mokshay Madiman; Elisabeth M. Werner Название: Convexity and Concentration ISBN: 1493970046 ISBN-13(EAN): 9781493970049 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I: Probability and Concentration.- Interpolation of Probability Measures on Graphs.- Entropy and Thinning of Discrete Random Variables.- Structured Random Matrices.- Rates of Convergence for Empirical Spectral Measures: A Soft Approach.- Concentration of MEasure without Independence: A Unified Approach via the Martingale Method.- Strong Data-Processing Inequalities for Channels and Bayesian Networks.- An Application of a Functional Inequality to Quasi Invariance in Infinite Dimensions.- Borell's Formula on a Riemannian Manifold and Applications.- Fourth Moments and Products: Unified Estimates.- Asymptotic Expansions for Products of Characteristic Functions Under Moment Assumptions of non-Integer Orders.- Part II: Convexity and Concentration for Sets and Functions.- Non-Standard Constructions in Convex Geometry: Geometric Means of Convex Bodies.- Randomized Isoperimetric Inequalities.- Forward and Reverse Entropy Power Inequalities in Convex Geometry.- Log-Concave Functions.- On Some Problems Concerning Log-Concave Random Vectors.- Stability Results for Some Geometric Inequalities and their Functional Versions.- Measures of Sections of Convex Bodies.- On Isoperimetric Functions of Probability Measures Having Log-Concave Densities with Respect to the Standard Normal Law.- Counting Integer Points in Higher-Dimensional Polytopes.- The Chain Rule Operator Equation for Polynomials and Entire Functions.
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: Ewald Название: Combinatorial convexity and algebraic geometry ISBN: 0387947558 ISBN-13(EAN): 9780387947556 Издательство: Springer Цена: 8378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the theory of convex polytopes and polyhedral sets, to algebraic geometry, and to the connections between these fields, known as the theory of toric varieties. This book covers the theory of polytopes. It describes toric varieties in an elementary way.
Автор: Luca Brandolini; Leonardo Colzani; Alex Iosevich; Название: Fourier Analysis and Convexity ISBN: 0817632638 ISBN-13(EAN): 9780817632632 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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: 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: 13974.00 р. 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: Mats Andersson; Mikael Passare; Ragnar Sigurdsson Название: Complex Convexity and Analytic Functionals ISBN: 3034896050 ISBN-13(EAN): 9783034896054 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book puts the modern theory of complex linear convexity on a solid footing, and gives a thorough and up-to-date survey of its current status. Applications include the Fantappie transformation of analytic functionals, integral representation formulas, polynomial interpolation, and solutions to linear partial differential equations.
Автор: Luca Brandolini; Leonardo Colzani; Alex Iosevich; Название: Fourier Analysis and Convexity ISBN: 146126474X ISBN-13(EAN): 9781461264743 Издательство: Springer Рейтинг: Цена: 6986.00 р. 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: Adam Morawiec Название: Orientations and Rotations ISBN: 3642073867 ISBN-13(EAN): 9783642073861 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lauritzen Niels Название: Undergraduate Convexity ISBN: 9814412511 ISBN-13(EAN): 9789814412513 Издательство: World Scientific Publishing Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on undergraduate material for students in computer science, economics and mathematics, this book offers an introduction to convex sets and convex functions.
Автор: Josef Stoer; Christoph Witzgall Название: Convexity and Optimization in Finite Dimensions I ISBN: 3642462189 ISBN-13(EAN): 9783642462184 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dantzig`s development of linear programming into one of the most applicable optimization techniques has spread interest in the algebra of linear inequalities, the geometry of polyhedra, the topology of convex sets, and the analysis of convex functions.
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