SAT 2005 SAT 2005

SAT 2005

Satisfiability Research in the Year 2005

    • 134,99 €
    • 134,99 €

Description de l’éditeur

This book is devoted to recent progress made in solving propositional satisfiability and related problems. Propositional satisfiability is a powerful and general formalism used to solve a wide range of important problems including hardware and software verification. The core of many reasoning problems in automated deduction are propositional. Research into methods to automate such reasoning has therefore a long history in artificial intelligence. In 1957, Allen Newell and Herb Simon introduced the Logic Theory Machine to prove propositional theorems from Whitehead and Russel's "Principia mathematica".

In 1960, Martin Davis and Hillary Putnam introduced their eponymous decision procedure for satisfiability reasoning (though, for space reasons, it was quickly superseded by the modified procedure proposed by Martin Davis, George Logemann and Donald Loveland two years later). In 1971, Stephen Cook's proof that propositional satisfiability is NP-Complete placed satisfiability as the cornerstone of complexity theory.

As this volume demonstrates, research has continued very actively in this area since then. This book follows on from the highly successful volume entitled SAT 2000 published five years ago. The papers in SAT 2005 fall (not entirely neatly) into the following

categories: complete methods, local and stochastic search methods, random problems, applications, and extensions beyond the propositional.

GENRE
Informatique et Internet
SORTIE
2007
21 janvier
LANGUE
EN
Anglais
LONGUEUR
300
Pages
ÉDITIONS
Springer Netherlands
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
5,8
Mo
Efficient Solving of Large Arithmetic Constraint Systems with Complex Boolean Structure Efficient Solving of Large Arithmetic Constraint Systems with Complex Boolean Structure
2011
Automata, Languages and Programming Automata, Languages and Programming
2010
Logic and Integer Programming Logic and Integer Programming
2009
Constraint Networks Constraint Networks
2013
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
2010
Computer Aided Verification Computer Aided Verification
2010