Hubert Comon – författare

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.

This volume contains the proceedings of the conference on Computer-Aided Veric ation (CAV 2001),held in Paris, Palaisde laMutualit e, July 18{22,2001. CAV 2001 was the 13th in a series of conferences dedicated to the advan- ment of the theory and practice of computer-assisted formal analysis methods for software and hardware systems. The CAV conference covers the spectrum from theoretical results to concrete applications, with an emphasis on practical veri cation tools and algorithms and techniques needed for their implemen- tion. ProgramCommitteeofCAV 2001 Rajeev Alur (Penn. &Bell labs) Bengt Jonsson (Uppsala) Henrik Reif Andersen (Copenhagen) Robert Kurshan (LucentBellLabs) G erard Berry (EsterelT. ,co-chair) Kim G. Larsen (Aalborg) Randy Bryant (CMU) Ken Mc Millan(Cadence) Jerry Burch (Cadence) Kedar Namjoshi (Belllabs) Ching-Tsun Chou (Intel) Christine Paulin-Mohring (Orsay) Edmund Clarke (CMU) Carl Pixley (Motorola) Hubert Comon (LSV& Stanford, co-chair) Kavita Ravi (Cadence) David Dill (Stanford) Natarajan Shankar (SRI) E. Allen Emerson (Austin) Mary Sheeran (Chalmers &Prover T. ) Alain Finkel (LSV,co-chair) Tom Shiple (Synopsys) Patrice Godefroid (Belllabs) A.

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.

This volume contains thoroughly revised versions of the contributions presented at the French Spring School of Theoretical Computer Science, held in Font Romeu, France in May 1993.This seminar was devoted to rewriting in a broad sense, as rewriting is now an important discipline, relating to many other areas such as formal languages, models of concurrency, tree automata, functional programming languages, constraints, symbolic computation, and automated deduction. The book includes a number of surveys contributed by senior researchers as well as a few papers presenting original research of relevance for the broader theoretical computer science community.