Mathematical Theory of Optimization
By: edited by Ding-Zhu Du, Panos M. Pardalos, Weili Wu
Contributors: Pardalos, Panos M.; Wu, Weili
Series: Nonconvex Optimization and Its Applications -- 56; Nonconvex optimization and its applications -- 56.
Publisher: Springer US
Published: 2001
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] /
Number of pages: 273
ISBN-13: 9781441952028; 9781475757958
Subjects: Mathematics; Mathematical optimization; Information theory; Algorithms; Computer science
Description: This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. It includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems. Audience: The book can be a textbook or useful reference for undergraduate and graduate students in applied mathematics, operations research, and computer science.
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