Deterministic Global Optimization Geometric Branch-and-bound Methods and their Applications

Deterministic Global Optimization Geometric Branch-and-bound Methods and their Applications / by Daniel Scholz.

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, d.c. programming, and interval analysis.It also introduces a new concept for...

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Bibliographic Details
Main Author: Scholz, Daniel (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Nonconvex Optimization and Its Applications ; 63
Springer eBook Collection.
Subjects:
Mathematical optimization.
Operations research.
Management science.
Computer mathematics.
Algorithms.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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