Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures
Constraints provide a declarative way of representing infinite sets of data. They are well suited for combining different logical or programming paradigms as has been known for constraint logic programming since the 1980s and more recently for functional programming. The use of constraints in automated deduction is more recent and has proved to be very successful, moving the control from the meta-level to the constraints, which are now first-class objects.

This monograph-like book presents six thoroughly reviewed and revised lectures given by leading researchers at the summer school organized by the ESPRIT CCL Working Group in Gif-sur-Yvette, France, in September 1999. The book offers coherently written chapters on constraints and constraint solving, constraint solving on terms, combining constraint solving, constraints and theorem proving, functional and constraint logic programming, and building industrial applications.

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Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures
Constraints provide a declarative way of representing infinite sets of data. They are well suited for combining different logical or programming paradigms as has been known for constraint logic programming since the 1980s and more recently for functional programming. The use of constraints in automated deduction is more recent and has proved to be very successful, moving the control from the meta-level to the constraints, which are now first-class objects.

This monograph-like book presents six thoroughly reviewed and revised lectures given by leading researchers at the summer school organized by the ESPRIT CCL Working Group in Gif-sur-Yvette, France, in September 1999. The book offers coherently written chapters on constraints and constraint solving, constraint solving on terms, combining constraint solving, constraints and theorem proving, functional and constraint logic programming, and building industrial applications.

54.99 In Stock
Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures

Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures

Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures

Constraints in Computational Logics: Theory and Applications: International Summer School, CCL'99 Gif-sur-Yvette, France, September 5-8, 1999 Revised Lectures

Paperback(2001)

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Overview

Constraints provide a declarative way of representing infinite sets of data. They are well suited for combining different logical or programming paradigms as has been known for constraint logic programming since the 1980s and more recently for functional programming. The use of constraints in automated deduction is more recent and has proved to be very successful, moving the control from the meta-level to the constraints, which are now first-class objects.

This monograph-like book presents six thoroughly reviewed and revised lectures given by leading researchers at the summer school organized by the ESPRIT CCL Working Group in Gif-sur-Yvette, France, in September 1999. The book offers coherently written chapters on constraints and constraint solving, constraint solving on terms, combining constraint solving, constraints and theorem proving, functional and constraint logic programming, and building industrial applications.


Product Details

ISBN-13: 9783540419501
Publisher: Springer Berlin Heidelberg
Publication date: 05/18/2001
Series: Lecture Notes in Computer Science , #2002
Edition description: 2001
Pages: 316
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Constraints and Constraint Solving: An Introduction.- Constraint Solving on Terms.- Combining Constraint Solving.- Constraints and Theorem Proving.- Functional and Constraint Logic Programming.- Building Industrial Applications with Constraint Programming.
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