Notions of Convexity

Notions of Convexity
Author: Lars Hörmander
Publisher: Springer Science & Business Media
Total Pages: 424
Release: 2007-06-25
Genre: Mathematics
ISBN: 0817645853

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.

Convex Analysis and Monotone Operator Theory in Hilbert Spaces

Convex Analysis and Monotone Operator Theory in Hilbert Spaces
Author: Heinz H. Bauschke
Publisher: Springer
Total Pages: 624
Release: 2017-02-28
Genre: Mathematics
ISBN: 3319483110

This reference text, now in its second edition, offers a modern unifying presentation of three basic areas of nonlinear analysis: convex analysis, monotone operator theory, and the fixed point theory of nonexpansive operators. Taking a unique comprehensive approach, the theory is developed from the ground up, with the rich connections and interactions between the areas as the central focus, and it is illustrated by a large number of examples. The Hilbert space setting of the material offers a wide range of applications while avoiding the technical difficulties of general Banach spaces. The authors have also drawn upon recent advances and modern tools to simplify the proofs of key results making the book more accessible to a broader range of scholars and users. Combining a strong emphasis on applications with exceptionally lucid writing and an abundance of exercises, this text is of great value to a large audience including pure and applied mathematicians as well as researchers in engineering, data science, machine learning, physics, decision sciences, economics, and inverse problems. The second edition of Convex Analysis and Monotone Operator Theory in Hilbert Spaces greatly expands on the first edition, containing over 140 pages of new material, over 270 new results, and more than 100 new exercises. It features a new chapter on proximity operators including two sections on proximity operators of matrix functions, in addition to several new sections distributed throughout the original chapters. Many existing results have been improved, and the list of references has been updated. Heinz H. Bauschke is a Full Professor of Mathematics at the Kelowna campus of the University of British Columbia, Canada. Patrick L. Combettes, IEEE Fellow, was on the faculty of the City University of New York and of Université Pierre et Marie Curie – Paris 6 before joining North Carolina State University as a Distinguished Professor of Mathematics in 2016.

Convex Functions and Their Applications

Convex Functions and Their Applications
Author: Constantin P. Niculescu
Publisher: Springer
Total Pages: 430
Release: 2018-06-08
Genre: Mathematics
ISBN: 3319783378

Thorough introduction to an important area of mathematics Contains recent results Includes many exercises

Finite Dimensional Convexity and Optimization

Finite Dimensional Convexity and Optimization
Author: Monique Florenzano
Publisher: Springer Science & Business Media
Total Pages: 161
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642565220

This book discusses convex analysis, the basic underlying structure of argumentation in economic theory. Convex analysis is also common to the optimization of problems encountered in many applications. The text is aimed at senior undergraduate students, graduate students, and specialists of mathematical programming who are undertaking research into applied mathematics and economics. The text consists of a systematic development in eight chapters, and contains exercises. The book is appropriate as a class text or for self-study.

Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization
Author: Jonathan Borwein
Publisher: Springer Science & Business Media
Total Pages: 316
Release: 2010-05-05
Genre: Mathematics
ISBN: 0387312560

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set of optional exercises. This new edition adds material on semismooth optimization, as well as several new proofs.

Convex Bodies: The Brunn–Minkowski Theory

Convex Bodies: The Brunn–Minkowski Theory
Author: Rolf Schneider
Publisher: Cambridge University Press
Total Pages: 759
Release: 2014
Genre: Mathematics
ISBN: 1107601010

A complete presentation of a central part of convex geometry, from basics for beginners, to the exposition of current research.

Convex Analysis

Convex Analysis
Author: Steven G. Krantz
Publisher: CRC Press
Total Pages: 174
Release: 2014-10-20
Genre: Mathematics
ISBN: 149870638X

Convexity is an ancient idea going back to Archimedes. Used sporadically in the mathematical literature over the centuries, today it is a flourishing area of research and a mathematical subject in its own right. Convexity is used in optimization theory, functional analysis, complex analysis, and other parts of mathematics.Convex Analysis introduces

Complex Convexity and Analytic Functionals

Complex Convexity and Analytic Functionals
Author: Mats Andersson
Publisher: Birkhäuser
Total Pages: 172
Release: 2012-12-06
Genre: Mathematics
ISBN: 3034878710

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 Fantappié transformation of analytic functionals, integral representation formulas, polynomial interpolation, and solutions to linear partial differential equations.

Non-Connected Convexities and Applications

Non-Connected Convexities and Applications
Author: G. Cristescu
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461500036

Lectori salutem! The kind reader opens the book that its authors would have liked to read it themselves, but it was not written yet. Then, their only choice was to write this book, to fill a gap in the mathematicalliterature. The idea of convexity has appeared in the human mind since the antiquity and its fertility has led to a huge diversity of notions and of applications. A student intending a thoroughgoing study of convexity has the sensation of swimming into an ocean. It is due to two reasons: the first one is the great number of properties and applications of the classical convexity and second one is the great number of generalisations for various purposes. As a consequence, a tendency of writing huge books guiding the reader in convexity appeared during the last twenty years (for example, the books of P. M. Gruber and J. M. Willis (1993) and R. J. Webster (1994)). Another last years' tendency is to order, from some point of view, as many convexity notions as possible (for example, the book of I. Singer (1997)). These approaches to the domain of convexity follow the previous point of view of axiomatizing it (A. Ghika (1955), W. Prenowitz (1961), D. Voiculescu (1967), V. W. Bryant and R. J. Webster (1969)). Following this last tendency, our book proposes to the reader two classifications of convexity properties for sets, both of them starting from the internal mechanism of defining them.

Convex Functions

Convex Functions
Author: Jonathan M. Borwein
Publisher: Cambridge University Press
Total Pages: 533
Release: 2010-01-14
Genre: Mathematics
ISBN: 0521850053

The product of a collaboration of over 15 years, this volume is unique because it focuses on convex functions themselves, rather than on convex analysis. The authors explore the various classes and their characteristics, treating convex functions in both Euclidean and Banach spaces.