£24.11

Springer Advances in Convex Analysis and Global Optimization

Name: Springer Advances in Convex Analysis and Global Optimization
Brand: Springer
Price: 24.11 GBP
Availability: InStock

27632345

Algorithms

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Description

Explore recent progress in global optimization algorithms for nonconvex continuous and discrete problems. This academic text examines how convex analysis serves a fundamental role in the analysis and development of these algorithms. Because most nonconvex optimization problems can be described through differences of convex functions and sets, this volume provides essential theoretical and practical perspectives for researchers and students. This book contains proceedings from the conference on Convex Analysis and Global Optimization held in June 2000 at Pythagorion, Samos, Greece. The collection serves to honor the memory of C. Caratheodory (1873-1950) and provides a deep look into the mathematical foundations required for modern optimization. Whether you are studying algorithm development or advanced mathematical analysis, this Springer publication offers valuable insights into the relationship between convex sets and global optimization.

Key Features

Covers recent progress in global optimization algorithms for both continuous and discrete nonconvex problems.

Explains the role of convex analysis in the development of modern optimization algorithms.

Discusses how nonconvex problems are described using differences of convex functions and sets.

Includes research and insights from the 2000 conference held in Pythagorion, Samos, Greece.

Honors the mathematical legacy of C. Caratheodory (1873-1950) through specialized academic content.

Provides both theoretical and practical perspectives on nonconvex optimization applications.

Product Specifications

Brand: Springer
Model: 27632345
Format: hardcover
ASIN: 0792369424
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 30 June 2001
Listed Since: 15 December 2006

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Springer Advances in Convex Analysis and Global Optimization

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