Description: Logic-Based 0-1 Constraint Programming Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Peter Barth Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461285649, 978-1461285649 Synopsis A logic view of 0-1 integer programming problems, providing new insights into the structure of problems that can lead the researcher to more effective solution techniques depending on the problem class. Operations research techniques are integrated into a logic programming environment. The first monographic treatment that begins to unify these two methodological approaches. Logic-based methods for modelling and solving combinatorial problems have recently started to play a significant role in both theory and practice. The application of logic to combinatorial problems has a dual aspect. On one hand, constraint logic programming allows one to declaratively model combinatorial problems over an appropriate constraint domain, the problems then being solved by a corresponding constraint solver. Besides being a high-level declarative interface to the constraint solver, the logic programming language allows one also to implement those subproblems that cannot be naturally expressed with constraints. On the other hand, logic-based methods can be used as a constraint solving technique within a constraint solver for combinatorial problems modelled as 0-1 integer programs.
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Book Title: Logic-Based 0-1 Constraint Programming
Subject Area: Data Analysis
Item Height: 235 mm
Item Width: 155 mm
Series: Operations Research/Computer Science Interfaces Series
Author: Peter Barth
Publication Name: Logic-Based 0-1 Constraint Programming
Format: Paperback
Language: English
Publisher: Springer-Verlag New York Inc.
Subject: Computer Science, Mathematics, Management
Publication Year: 2011
Type: Textbook
Item Weight: 417 g
Number of Pages: 254 Pages
