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Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Edizione [1st ed.]
Pubbl/distr/stampa Newport Beach, CA : , : ISTE USA, , 2007
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.1
005.1/16
005.116
Collana ISTE
Soggetto topico Constraint programming (Computer science)
Soggetto genere / forma Electronic books.
ISBN 1-280-84786-7
9786610847860
0-470-61230-4
0-470-39494-3
1-84704-647-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trends in Constraint Programming; Contents; Introduction; Part I. The Past, Present and Future of Constraint Programming; Chapter 1. Constraint Programming as Declarative Algorithmics; 1.1. The CHIP project; 1.2. The Numerica project; 1.3. The OPL project; 1.4. The Comet project; 1.5. The future of constraint programming; Chapter 2. Constraint Programming Tools; 2.1. Introduction; 2.2. Invited talks; 2.2.1. The development of an industrial CP tool; 2.2.1.1. Design goals; 2.2.1.2. The future; 2.2.2. System design: taking informed decisions; 2.2.2.1. Search; 2.2.2.2. Constraint propagation
2.2.2.3. Variables2.3. System presentations; 2.3.1. ECLiPSe; 2.3.2. SICStus FD; 2.3.3. G12; 2.3.4. DiSolver; 2.3.5.MINION; 2.3.6. Choco; 2.3.7. Gecode; 2.3.8. Comet; 2.3.9. JaCoP; 2.3.10. Borderwijk; 2.4. Panels; 2.5. Conclusion; 2.6. References; Chapter 3. The Next 10 Years of Constraint Programming; 3.1. Pedro Barahona; 3.2. Christian Bessiere; 3.3. Peter Jeavons; 3.4. Pedro Meseguer; 3.5. Gilles Pesant; 3.6. Francesca Rossi; 3.7. Thomas Schiex; 3.8. Christian Schulte; 3.9. Meinolf Sellmann; 3.10. Mark Wallace; 3.11. Toby Walsh; 3.12. Roland Yap; 3.13. References
Chapter 4. Constraint Propagation and Implementation4.1. Filtering algorithms for precedence and dependency constraints; 4.1.1. Problem description and related works; 4.1.2. Filtering rules for precedence and dependency constraints; 4.1.3. Summary; 4.2. A study of residual supports in arc consistency; 4.3. Maintaining singleton arc consistency; 4.3.1. Mixed consistency; 4.3.2. Checking existential-SAC; 4.3.3. Conclusion; 4.4. Probabilistic singleton arc consistency; 4.5. Simplification and extension of the SPREAD constraint; 4.5.1. Filtering of π; 4.5.2. Filtering of X; 4.5.3. Conclusion
4.6. A new filtering algorithm for the graph isomorphism problem4.6.1. A global constraint for the graph isomorphism problem; 4.6.2. ILL-consistency and ILL-filtering; 4.6.3. Experimental results; 4.7. References; Chapter 5. On the First SAT/CP Integration Workshop; 5.1. The technical program; 5.1.1. The invited talk; 5.1.2. Contributions related to SMT and solver integration; 5.1.3. Contributions related to the use of SAT techniques to improve CSP/CP solvers; 5.1.4. Other contributions; 5.2. The panel session; 5.2.1. Are SAT and CP different or similar?
5.2.2. Why has SAT succeeded in reducing the tuning issue?5.2.3. How long can the current generation of SAT solvers evolve?; 5.2.4. Were performance issues correctly addressed by CP?; 5.2.5. Was CP too ambitious?; 5.2.6. Do we still need CP?; 5.3. Summary, future directions and conclusion; 5.4. References; Chapter 6. Constraint-Based Methods for Bioinformatics; 6.1. On using temporal logic with constraints to express biological properties of cell processes; 6.2. Modeling biological systems in stochastic concurrent constraint programming
6.3. Chemera: constraints in protein structural problems
Record Nr. UNINA-9910144653803321
Newport Beach, CA : , : ISTE USA, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Edizione [1st ed.]
Pubbl/distr/stampa Newport Beach, CA : , : ISTE USA, , 2007
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.1
005.1/16
005.116
Collana ISTE
Soggetto topico Constraint programming (Computer science)
ISBN 1-280-84786-7
9786610847860
0-470-61230-4
0-470-39494-3
1-84704-647-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trends in Constraint Programming; Contents; Introduction; Part I. The Past, Present and Future of Constraint Programming; Chapter 1. Constraint Programming as Declarative Algorithmics; 1.1. The CHIP project; 1.2. The Numerica project; 1.3. The OPL project; 1.4. The Comet project; 1.5. The future of constraint programming; Chapter 2. Constraint Programming Tools; 2.1. Introduction; 2.2. Invited talks; 2.2.1. The development of an industrial CP tool; 2.2.1.1. Design goals; 2.2.1.2. The future; 2.2.2. System design: taking informed decisions; 2.2.2.1. Search; 2.2.2.2. Constraint propagation
2.2.2.3. Variables2.3. System presentations; 2.3.1. ECLiPSe; 2.3.2. SICStus FD; 2.3.3. G12; 2.3.4. DiSolver; 2.3.5.MINION; 2.3.6. Choco; 2.3.7. Gecode; 2.3.8. Comet; 2.3.9. JaCoP; 2.3.10. Borderwijk; 2.4. Panels; 2.5. Conclusion; 2.6. References; Chapter 3. The Next 10 Years of Constraint Programming; 3.1. Pedro Barahona; 3.2. Christian Bessiere; 3.3. Peter Jeavons; 3.4. Pedro Meseguer; 3.5. Gilles Pesant; 3.6. Francesca Rossi; 3.7. Thomas Schiex; 3.8. Christian Schulte; 3.9. Meinolf Sellmann; 3.10. Mark Wallace; 3.11. Toby Walsh; 3.12. Roland Yap; 3.13. References
Chapter 4. Constraint Propagation and Implementation4.1. Filtering algorithms for precedence and dependency constraints; 4.1.1. Problem description and related works; 4.1.2. Filtering rules for precedence and dependency constraints; 4.1.3. Summary; 4.2. A study of residual supports in arc consistency; 4.3. Maintaining singleton arc consistency; 4.3.1. Mixed consistency; 4.3.2. Checking existential-SAC; 4.3.3. Conclusion; 4.4. Probabilistic singleton arc consistency; 4.5. Simplification and extension of the SPREAD constraint; 4.5.1. Filtering of π; 4.5.2. Filtering of X; 4.5.3. Conclusion
4.6. A new filtering algorithm for the graph isomorphism problem4.6.1. A global constraint for the graph isomorphism problem; 4.6.2. ILL-consistency and ILL-filtering; 4.6.3. Experimental results; 4.7. References; Chapter 5. On the First SAT/CP Integration Workshop; 5.1. The technical program; 5.1.1. The invited talk; 5.1.2. Contributions related to SMT and solver integration; 5.1.3. Contributions related to the use of SAT techniques to improve CSP/CP solvers; 5.1.4. Other contributions; 5.2. The panel session; 5.2.1. Are SAT and CP different or similar?
5.2.2. Why has SAT succeeded in reducing the tuning issue?5.2.3. How long can the current generation of SAT solvers evolve?; 5.2.4. Were performance issues correctly addressed by CP?; 5.2.5. Was CP too ambitious?; 5.2.6. Do we still need CP?; 5.3. Summary, future directions and conclusion; 5.4. References; Chapter 6. Constraint-Based Methods for Bioinformatics; 6.1. On using temporal logic with constraints to express biological properties of cell processes; 6.2. Modeling biological systems in stochastic concurrent constraint programming
6.3. Chemera: constraints in protein structural problems
Record Nr. UNISA-996206952003316
Newport Beach, CA : , : ISTE USA, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Trends in constraint programming / / edited by Frédéric Benhamou, Narendra Jussien, Barry O'Sullivan
Edizione [1st ed.]
Pubbl/distr/stampa Newport Beach, CA : , : ISTE USA, , 2007
Descrizione fisica 1 online resource (410 p.)
Disciplina 005.1
005.1/16
005.116
Collana ISTE
Soggetto topico Constraint programming (Computer science)
ISBN 1-280-84786-7
9786610847860
0-470-61230-4
0-470-39494-3
1-84704-647-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trends in Constraint Programming; Contents; Introduction; Part I. The Past, Present and Future of Constraint Programming; Chapter 1. Constraint Programming as Declarative Algorithmics; 1.1. The CHIP project; 1.2. The Numerica project; 1.3. The OPL project; 1.4. The Comet project; 1.5. The future of constraint programming; Chapter 2. Constraint Programming Tools; 2.1. Introduction; 2.2. Invited talks; 2.2.1. The development of an industrial CP tool; 2.2.1.1. Design goals; 2.2.1.2. The future; 2.2.2. System design: taking informed decisions; 2.2.2.1. Search; 2.2.2.2. Constraint propagation
2.2.2.3. Variables2.3. System presentations; 2.3.1. ECLiPSe; 2.3.2. SICStus FD; 2.3.3. G12; 2.3.4. DiSolver; 2.3.5.MINION; 2.3.6. Choco; 2.3.7. Gecode; 2.3.8. Comet; 2.3.9. JaCoP; 2.3.10. Borderwijk; 2.4. Panels; 2.5. Conclusion; 2.6. References; Chapter 3. The Next 10 Years of Constraint Programming; 3.1. Pedro Barahona; 3.2. Christian Bessiere; 3.3. Peter Jeavons; 3.4. Pedro Meseguer; 3.5. Gilles Pesant; 3.6. Francesca Rossi; 3.7. Thomas Schiex; 3.8. Christian Schulte; 3.9. Meinolf Sellmann; 3.10. Mark Wallace; 3.11. Toby Walsh; 3.12. Roland Yap; 3.13. References
Chapter 4. Constraint Propagation and Implementation4.1. Filtering algorithms for precedence and dependency constraints; 4.1.1. Problem description and related works; 4.1.2. Filtering rules for precedence and dependency constraints; 4.1.3. Summary; 4.2. A study of residual supports in arc consistency; 4.3. Maintaining singleton arc consistency; 4.3.1. Mixed consistency; 4.3.2. Checking existential-SAC; 4.3.3. Conclusion; 4.4. Probabilistic singleton arc consistency; 4.5. Simplification and extension of the SPREAD constraint; 4.5.1. Filtering of π; 4.5.2. Filtering of X; 4.5.3. Conclusion
4.6. A new filtering algorithm for the graph isomorphism problem4.6.1. A global constraint for the graph isomorphism problem; 4.6.2. ILL-consistency and ILL-filtering; 4.6.3. Experimental results; 4.7. References; Chapter 5. On the First SAT/CP Integration Workshop; 5.1. The technical program; 5.1.1. The invited talk; 5.1.2. Contributions related to SMT and solver integration; 5.1.3. Contributions related to the use of SAT techniques to improve CSP/CP solvers; 5.1.4. Other contributions; 5.2. The panel session; 5.2.1. Are SAT and CP different or similar?
5.2.2. Why has SAT succeeded in reducing the tuning issue?5.2.3. How long can the current generation of SAT solvers evolve?; 5.2.4. Were performance issues correctly addressed by CP?; 5.2.5. Was CP too ambitious?; 5.2.6. Do we still need CP?; 5.3. Summary, future directions and conclusion; 5.4. References; Chapter 6. Constraint-Based Methods for Bioinformatics; 6.1. On using temporal logic with constraints to express biological properties of cell processes; 6.2. Modeling biological systems in stochastic concurrent constraint programming
6.3. Chemera: constraints in protein structural problems
Record Nr. UNINA-9910830751803321
Newport Beach, CA : , : ISTE USA, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui