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D�tails bibliographiques

Titre: Optimization and Computational Logic (Wiley-Interscience Series in Discrete Mathematics and Optimization)
�diteur: Wiley-Interscience
Date de parution: 1996
Langue: anglais
ISBN � 10 chiffres: 0471115339
ISBN � 13 chiffres: 9780471115335
Reliure: Couverture rigide
�tat de l'article: Good

A propos de ce titre

Synopsis

Part of the Wiley-interscience series in discrete mathematics and optimization, this title is suitable for undergraduates and graduates in AI, modelling languages, logic and linear programming, management science and decision support software development.

Quatri�me de couverture

An innovative book/software package that integrates logic and operations research

This volume focuses on the role of optimization and computational logic in modern decision science. It stands apart from other books on this topic with a remarkable approach that uses a computer programming language with standard syntax to integrate logic, operations research, and artificial intelligence. The text brings together concepts, templates, and tools for attacking thorny problems commonly encountered in decision making, and emphasizes the interplay between applications, theory, and code.

Featuring a crystal–clear presentation and superior organization, this book fills a growing need for course materials on logic and optimization. It serves graduate and undergraduate students in artificial intelligence, operations research, mathematics, management science, and computer science. It is also an important resource for professionals working in decision support.

Optimization and Computational Logic
∗ Merges discrete and continuous problem solving methods
∗ Features programming examples that employ the small language 2LP (Linear Programming and Logic Programming)
∗ Includes the Windows version of the 2LP software and Internet addresses for other versions
∗ Discusses many applications, including resource allocation, personnel scheduling, pattern recognition, classical and probabilistic logic, financial applications, challenging puzzles, expert systems, machine scheduling, and more
∗ Presents search paradigms such as randomized local search, genetic algorithms, constrain–and–generate, marking–and–trailing, branch–and–bound, branch–and–cut, iterative deepening, and others
∗ Provides the mathematical background for linear programming and optimization problems

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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