Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems

Name: Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems
Brand: Springer-Verlag New York Inc.
SKU: 9781441948083
Price: 929.42 PLN
Availability: InStock

Autor: Hanif D. Sherali, W. P. Adams

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

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This book addresses a new method for generating tight linear or convex programming relaxations for d...

Informacje o książce

Autor

Hanif D. Sherali, W. P. Adams

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2010

strony

518

EAN

9781441948083

ISBN

1441948082

Enbook ID

01423236

Wydawca

Springer-Verlag New York Inc.

Waga

825

Wymiary

155 x 235 x 30

Pełny opis

This book addresses a new method for generating tight linear or convex programming relaxations for discrete and continuous nonconvex programming problems. Problems of this type arise in many economics, location-allocation, scheduling and routing, and process control and engineering design applications. The principal thrust is to commence with a model that affords a useful representation and structure, and then to further strengthen this representation through an automatic reformulation and constraint generation technique. The contents of this book comprise the original work of the authors compiled from several journal publications, and not covered in any other book on this subject. The outstanding feature of this book is that it offers for the first time a unified treatment of discrete and continuous nonconvex programming problems. In essence, the bridge between these two types of nonconvexities is made via a polynomial representation of discrete constraints. The book lays the foundation of an idea that is stimulating and that has served to enhance the solubility of many challenging problems in the field. Audience: This book is intended for researchers and practitioners who work in the area of discrete or continuous nonlinear, nonconvex optimization problems, as well as for students who are interested in learning about techniques for solving such problems.

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