Abstract Domains in Constraint Programming

This book PDF is perfect for those who love Computers genre, written by Marie Pelleau and published by Elsevier which was released on 20 May 2015 with total hardcover pages 176. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Abstract Domains in Constraint Programming books below.

Abstract Domains in Constraint Programming
Author : Marie Pelleau
File Size : 40,5 Mb
Publisher : Elsevier
Language : English
Release Date : 20 May 2015
ISBN : 9780081004647
Pages : 176 pages
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Abstract Domains in Constraint Programming by Marie Pelleau Book PDF Summary

Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or real. Solving mixed problems relies on ad hoc transformations. In another field, Abstract Interpretation offers tools to prove program properties, by studying an abstraction of their concrete semantics, that is, the set of possible values of the variables during an execution. Various representations for these abstractions have been proposed. They are called abstract domains. Abstract domains can mix any type of variables, and even represent relations between the variables. In this work, we define abstract domains for Constraint Programming, so as to build a generic solving method, dealing with both integer and real variables. We also study the octagons abstract domain, already defined in Abstract Interpretation. Guiding the search by the octagonal relations, we obtain good results on a continuous benchmark. We also define our solving method using Abstract Interpretation techniques, in order to include existing abstract domains. Our solver, AbSolute, is able to solve mixed problems and use relational domains. Exploits the over-approximation methods to integrate AI tools in the methods of CP Exploits the relationships captured to solve continuous problems more effectively Learn from the developers of a solver capable of handling practically all abstract domains

Abstract Domains in Constraint Programming

Constraint Programming aims at solving hard combinatorial problems, with a computation time increasing in practice exponentially. The methods are today efficient enough to solve large industrial problems, in a generic framework. However, solvers are dedicated to a single variable type: integer or real. Solving mixed problems relies on ad hoc

DOWNLOAD
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