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Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming free

Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming



Author: Ivo Nowak
Edition: 2005
Publisher: Birkhäuser
Binding: Hardcover
ISBN: 3764372389
Category: Programming
List Price: $ 179.00
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Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming (International Series of Numerical Mathematics)



This book presents a comprehensive description of theory, algorithms and software for solving nonconvex mixed integer nonlinear programs (MINLP). Programming books Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming pdf. The main focus is on deterministic global optimization methods, which play a very important role in integer linear programming, and are used only recently in MINLP. The presented material consists of two parts. The first part describes basic optimization tools, such as block-separable reformulations, convex and Lagrangian relaxations, decomposition methods and global optimality criteria. Some of these results are presented here for the first time. Download books Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming pdf via mediafire, 4shared, rapidshare.

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This book presents a comprehensive description of theory, algorithms and software for solving nonconvex mixed integer nonlinear programs (MINLP). The main focus is on deterministic global optimization methods, which play a very important role in integer linear programming, and are used only recently in MINLP.The presented material consists of two parts. The first part describes basic optimization tools, such as block-separable reformulations, convex and Lagrangian relaxations, decomposition meth

relaxation and decomposition methods for mixed integer nonlinear programming
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relaxation and decomposition methods for mixed integer nonlinear programming: vo
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author ivo nowak format hardback language english publication year 15 08 2005 series international series of numerical mathematics subject mathematics sciences subject 2 mathematics title relaxation and decomposition methods for mixed integer nonlinear programming vol 152 author nowak ivo karl heintz hoffman bonn editor mittelmann tempe d editor publisher birkhauser publication date dec 30 2005 pages 213 binding hardcover edition 1 st dimensions 6 50 wx 9 25 hx 0 75 d isbn 3764372389 subject c

Relaxation And Decomposition Methods For Mixed Integer Nonlinear Programming: Vol 152
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The main focus is on deterministic global optimization methods, which play a very important role in integer linear programming, and are used only recently in MINLP. The presented material consists of two parts. The first part describes basic optimization tools, such as block-separable reformulations, convex and Lagrangian relaxations, decomposition methods and global optimality criteria. Some of these results are presented here for the first time. The second part is devoted to algorithms. Starting with a short overview on existing methods, deformation, rounding, partitioning and Lagrangian heuristics, and a branch-cut-and-price algorithm are presented. The algorithms are implemented as part of an object-oriented library, called LaGO. Numerical results on several mixed integer nonlinear programs are reported to show abilities and limits of the proposed solution methods. The book contains many illustrations and an up-to-date bibliography. Because of the emphasis on practical methods, as well as the introduction into the basic theory, it is accessible to a wide audience and can be used both as a research as well as a graduate text. Download free Relaxation and Decomposition Methods for Mixed Integer Nonlinear Programming (International Series of Numerical Mathematics) pdf

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