Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming
Author:   Ivo Nowak
Publisher:   Birkhauser Verlag AG
Edition:   2005 ed.
Volume:   152
ISBN:  

9783764372385


Pages:   213
Publication Date:   15 August 2005
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming


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Author:   Ivo Nowak
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
Edition:   2005 ed.
Volume:   152
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.518kg
ISBN:  

9783764372385


ISBN 10:   3764372389
Pages:   213
Publication Date:   15 August 2005
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Basic Concepts.- Problem Formulations.- Convex and Lagrangian Relaxations.- Decomposition Methods.- Semidefinite Relaxations.- Convex Underestimators.- Cuts, Lower Bounds and Box Reduction.- Local and Global Optimality Criteria.- Adaptive Discretization of Infinite Dimensional MINLPs.- Algorithms.- Overview of Global Optimization Methods.- Deformation Heuristics.- Rounding, Partitioning and Lagrangian Heuristics.- Branch-Cut-and-Price Algorithms.- LaGO — An Object-Oriented Library for Solving MINLPs.

Reviews

From the reviews: In his monograph, the author treats mixed integer nonlinear programs (MINLPs), that is nonlinear optimization problems containing both continuous and discrete variables. ... This self-contained monograph is rich in content, provides the reader with a wealth of information, and motivates his or her further interest in the subject. The book offers fairly comprehensive description of the MINLP theory and algorithms. (Jan Chleboun, Applications of Mathematics, Issue 3, 2012)


From the reviews: In his monograph, the author treats mixed integer nonlinear programs (MINLPs), that is nonlinear optimization problems containing both continuous and discrete variables. ... This self-contained monograph is rich in content, provides the reader with a wealth of information, and motivates his or her further interest in the subject. The book offers fairly comprehensive description of the MINLP theory and algorithms. (Jan Chleboun, Applications of Mathematics, Issue 3, 2012)


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