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cover

A Course in Convexity

Alexander Barvinok

₹ 1695

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Imprint

Universities Press

Year of Publishing

2026

Number of pages

376

ISBN

9789349750258

Format

Paperback

Language

English

Dimensions

180 x 240 mm

Series

American Mathematical Society

Territorial Rights

India,Nepal,Bhutan,Bangladesh,Sri Lanka,Maldives,Pakistan

Catalogue(s)

Mathematics

  • the Book
  • the Author(s)
  • Table of Contents

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 notion of convexity comes from geometry. Barvinok describes here its geometric aspects, yet he focuses on applications of convexity rather than on convexity for its own sake. Mathematical applications range from analysis and probability to algebra to combinatorics to number theory. Several important areas are covered, including topological vector spaces, linear programming, ellipsoids, and lattices. Specific topics of note are optimal control, sphere packings, rational approximations, numerical integration, graph theory, and more. And of course, there is much to say about applying convexity theory to the study of faces of polytopes, lattices and polyhedra, and lattices and convex bodies.

The prerequisites are minimal amounts of linear algebra, analysis, and elementary topology, plus basic computer 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.

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Alexander Barvinok, University of Michigan, Ann Arbor, MI

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Chapter 1. Convex sets at large
Chapter 2. Faces and extreme points
Chapter 3. Convex sets in topological vector spaces
Chapter 4. Polarity, duality and linear programming
Chapter 5. Convex bodies and ellipsoids
Chapter 6. Faces of polytopes
Chapter 7. Lattices and convex bodies
Chapter 8. Lattice points and polyhedra

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