Description: Deterministic Global Optimization : Geometric Branch-and-bound Methods and Their Applications, Paperback by Scholz, Daniel, ISBN 1489995552, ISBN-13 9781489995551, Brand New, Free shipping in the US This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, . programming, and interval also introduces a new concept for the rate of convergence and analyzes several bounding operations reported in the literature, from the theoretical as well as from the empirical point of view. Furthermore, extensions of the prototype algorithm for multicriteria global optimization problems as well as mixed combinatorial optimization problems are considered. Numerical examples based on facility location problems support the theory. Applications of geometric branch-and-bound methods, namely the circle detection problem in image processing, the integrated scheduling and location makespan problem, and the median line location problem in the three-dimensional space are also presented. Th is intended for both researchers and students in the areas of mathematics, operations research, engineering, and computer science.
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Book Title: Deterministic Global Optimization : Geometric Branch-and-bound Me
Number of Pages: Xiv, 142 Pages
Language: English
Publication Name: Deterministic Global Optimization : Geometric Branch-And-Bound Methods and Their Applications
Publisher: Springer New York
Publication Year: 2014
Subject: Operations Research, Management Science, Optimization
Type: Textbook
Item Weight: 16 Oz
Subject Area: Mathematics, Business & Economics
Item Length: 9.3 in
Author: Daniel Scholz
Series: Nonconvex Optimization and Its Applications Ser.
Item Width: 6.1 in
Format: Trade Paperback
