A Course in Convexity

A Course in Convexity PDF Author: Alexander Barvinok
Publisher: American Mathematical Soc.
ISBN: 0821829688
Category : Mathematics
Languages : en
Pages : 378

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Book Description
Convexity is a simple idea that manifests itself in a surprising variety of places. This fertile field has an immensely rich structure and numerous applications. Barvinok demonstrates that simplicity, intuitive appeal, and the universality of applications make teaching (and learning) convexity a gratifying experience. The book will benefit both teacher and student: It is easy to understand, entertaining to the reader, and includes many exercises that vary in degree of difficulty. Overall, the author demonstrates the power of a few simple unifying principles in a variety of pure and applied problems. The prerequisites are minimal amounts of linear algebra, analysis, and elementary topology, plus basic computational skills. Portions of the book could be used by advanced undergraduates. As a whole, it is designed for graduate students interested in mathematical methods, computer science, electrical engineering, and operations research. The book will also be of interest to research mathematicians, who will find some results that are recent, some that are new, and many known results that are discussed from a new perspective.

Convexity

Convexity PDF Author: Barry Simon
Publisher: Cambridge University Press
ISBN: 1139497596
Category : Mathematics
Languages : en
Pages : 357

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Book Description
Convexity is important in theoretical aspects of mathematics and also for economists and physicists. In this monograph the author provides a comprehensive insight into convex sets and functions including the infinite-dimensional case and emphasizing the analytic point of view. Chapter one introduces the reader to the basic definitions and ideas that play central roles throughout the book. The rest of the book is divided into four parts: convexity and topology on infinite-dimensional spaces; Loewner's theorem; extreme points of convex sets and related issues, including the Krein–Milman theorem and Choquet theory; and a discussion of convexity and inequalities. The connections between disparate topics are clearly explained, giving the reader a thorough understanding of how convexity is useful as an analytic tool. A final chapter overviews the subject's history and explores further some of the themes mentioned earlier. This is an excellent resource for anyone interested in this central topic.

Duration, Convexity, and Other Bond Risk Measures

Duration, Convexity, and Other Bond Risk Measures PDF Author: Frank J. Fabozzi
Publisher: John Wiley & Sons
ISBN: 9781883249632
Category : Business & Economics
Languages : en
Pages : 270

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Book Description
Duration, Convexity and other Bond Risk Measures offers the most comprehensive coverage of bond risk measures available. Financial expert Frank Fabozzi walks you through every aspect of bond risk measures from the price volatility characteristics of option-free bonds and bonds with embedded options to the proper method for calculating duration and convexity. Whether you're a novice trader or experienced money manager, if you need to understand the interest rate risk of a portfolio Duration, Convexity and other Bond Risk Measures is the only book you'll need.

Convexity and Optimization in Rn

Convexity and Optimization in Rn PDF Author: Leonard D. Berkovitz
Publisher: John Wiley & Sons
ISBN: 0471461660
Category : Mathematics
Languages : en
Pages : 283

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Book Description
A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides a basis for thefurther mathematical study of convexity, of more generaloptimization problems, and of numerical algorithms for the solutionof finite dimensional optimization problems. For readers who do nothave the requisite background in real analysis, the author providesa chapter covering this material. The text features abundantexercises and problems designed to lead the reader to a fundamentalunderstanding of the material. Convexity and Optimization in Rn provides detailed discussionof: * Requisite topics in real analysis * Convex sets * Convex functions * Optimization problems * Convex programming and duality * The simplex method A detailed bibliography is included for further study and an indexoffers quick reference. Suitable as a text for both graduate andundergraduate students in mathematics and engineering, thisaccessible text is written from extensively class-tested notes.

Notions of Convexity

Notions of Convexity PDF Author: Lars Hörmander
Publisher: Springer Science & Business Media
ISBN: 0817645853
Category : Mathematics
Languages : en
Pages : 424

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Book Description
The first two chapters of this book are devoted to convexity in the classical sense, for functions of one and several real variables respectively. This gives a background for the study in the following chapters of related notions which occur in the theory of linear partial differential equations and complex analysis such as (pluri-)subharmonic functions, pseudoconvex sets, and sets which are convex for supports or singular supports with respect to a differential operator. In addition, the convexity conditions which are relevant for local or global existence of holomorphic differential equations are discussed.

Convexity

Convexity PDF Author: H. G. Eggleston
Publisher: CUP Archive
ISBN: 9780521077347
Category : Mathematics
Languages : en
Pages : 160

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Book Description
This account of convexity includes the basic properties of convex sets in Euclidean space and their applications, the theory of convex functions and an outline of the results of transformations and combinations of convex sets. It will be useful for those concerned with the many applications of convexity in economics, the theory of games, the theory of functions, topology, geometry and the theory of numbers.

Polynomial Convexity

Polynomial Convexity PDF Author: Edgar Lee Stout
Publisher: Springer Science & Business Media
ISBN: 0817645373
Category : Mathematics
Languages : en
Pages : 454

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Book Description
This comprehensive monograph details polynomially convex sets. It presents the general properties of polynomially convex sets with particular attention to the theory of the hulls of one-dimensional sets. Coverage examines in considerable detail questions of uniform approximation for the most part on compact sets but with some attention to questions of global approximation on noncompact sets. The book also discusses important applications and motivates the reader with numerous examples and counterexamples, which serve to illustrate the general theory and to delineate its boundaries.

Convexity and Well-Posed Problems

Convexity and Well-Posed Problems PDF Author: Roberto Lucchetti
Publisher: Springer Science & Business Media
ISBN: 0387287191
Category : Mathematics
Languages : en
Pages : 308

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Book Description
This book deals mainly with the study of convex functions and their behavior from the point of view of stability with respect to perturbations. 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. Thus many of its properties can be seen also as properties of a certain convex set related to it. Moreover, we shall consider extended real valued functions, i. e. , functions taking possibly the values?? and +?. The reason for considering the value +? is the powerful device of including the constraint set of a constrained minimum problem into the objective function itself (by rede?ning it as +? outside the constraint 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. And the value ?? is allowed because useful operations, such as the inf-convolution, can give rise to functions valued?? even when the primitive objects are real valued. Observe that de?ning the objective function to be +? outside the closed constraint set preserves lower semicontinuity, which is the pivotal and mi- mal continuity assumption one needs when dealing with minimum problems. Variational calculus is usually based on derivatives.

Generalized Convexity and Optimization

Generalized Convexity and Optimization PDF Author: Alberto Cambini
Publisher: Springer Science & Business Media
ISBN: 3540708766
Category : Mathematics
Languages : en
Pages : 252

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Book Description
The authors have written a rigorous yet elementary and self-contained book to present, in a unified framework, generalized convex functions. The book also includes numerous exercises and two appendices which list the findings consulted.

Geometry and Convexity

Geometry and Convexity PDF Author: Paul J. Kelly
Publisher:
ISBN: 9780486469805
Category : Convex bodies
Languages : en
Pages : 0

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Book Description
This text assumes no prerequisites, offering an easy-to-read treatment with simple notation and clear, complete proofs. From motivation to definition, its explanations feature concrete examples and theorems. 1979 edition.