Handbook of Parallel Constraint Reasoning
Mentés helye:
| Testületi szerző: | |
|---|---|
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : Springer International Publishing,
2018
|
| Tárgyszavak: | |
| Online elérés: | http://doi.org/10.1007/978-3-319-63516-3 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
|
| id |
opac-EUL01-000977492 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Handbook of Parallel Constraint Reasoning edited by Youssef Hamadi, Lakhdar Sais Cham Springer International Publishing 2018 XXVI, 677 p. 118 illusztrált, 48 illusztrált szinesben online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Part I, Theory and Algorithms -- Parallel Satisfiability -- Cube-and-Conquer for Satisfiability -- Parallel Maximum Satisfiability -- Parallel Solving of Quantified Boolean Formulas -- Parallel Satisfiability Modulo Theories -- Parallel Theorem Proving -- Parallel Answer Set Programming -- Parallel Solvers for Mixed Integer Linear Optimization -- Parallel Constraint Programming -- Parallel Local Search -- Parallel A* for State-Space Search -- Parallel Model Checking Algorithms for Linear-Time Temporal Logic -- Multi-core Decision Diagrams -- Parallel Model-Based Diagnosis -- Part II, Tools and Applications -- Selection and Configuration of Parallel Portfolios -- An Application of Parallel Satisfiability Solving to the Verification of Complex Embedded Systems -- Parallel Constraint-Based Local Search: An Application to Designing Resilient Long-Reach Passive Optical Networks. This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD). The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning. Nyomtatott kiadás: ISBN 9783319635156 Nyomtatott kiadás: ISBN 9783319635170 Nyomtatott kiadás: ISBN 9783030096946 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book kényszerprogramozás EUL10001040077 Y számítási bonyolultság EUL10000906114 Y Információelmélet operációkutatás EUL10000089842 Y matematikai optimalizálás EUL10000403759 Y Artificial intelligence. EUL10000183324 Y Information theory EUL10000071489 Y Operations research. EUL10000376459 Y Mathematical optimization. EUL10000435178 Y Artificial Intelligence. Theory of Computation. Operations Research/Decision Theory. Optimization. EUL10000272654 Y elektronikus könyv Hamadi, Youssef szerk. EUL10001040079 Y Sais, Lakhdar szerk. EUL10001040080 Y SpringerLink (Online service) közreadó testület Online változat http://doi.org/10.1007/978-3-319-63516-3 Cham Springer International Publishing Imprint: Springer 2018 EUL01 |
| language |
English |
| format |
Book |
| author2 |
Hamadi, Youssef, szerk. Sais, Lakhdar, szerk. |
| author_facet |
Hamadi, Youssef, szerk. Sais, Lakhdar, szerk. SpringerLink (Online service), közreadó testület |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Hamadi, Youssef |
| title |
Handbook of Parallel Constraint Reasoning |
| spellingShingle |
Handbook of Parallel Constraint Reasoning kényszerprogramozás számítási bonyolultság Információelmélet operációkutatás matematikai optimalizálás Artificial intelligence. Information theory Operations research. Mathematical optimization. Artificial Intelligence. Theory of Computation. Operations Research/Decision Theory. Optimization. elektronikus könyv |
| title_short |
Handbook of Parallel Constraint Reasoning |
| title_full |
Handbook of Parallel Constraint Reasoning edited by Youssef Hamadi, Lakhdar Sais |
| title_fullStr |
Handbook of Parallel Constraint Reasoning edited by Youssef Hamadi, Lakhdar Sais |
| title_full_unstemmed |
Handbook of Parallel Constraint Reasoning edited by Youssef Hamadi, Lakhdar Sais |
| title_auth |
Handbook of Parallel Constraint Reasoning |
| title_sort |
handbook of parallel constraint reasoning |
| publishDate |
2018 |
| publishDateSort |
2018 |
| physical |
XXVI, 677 p. 118 illusztrált, 48 illusztrált szinesben : online forrás |
| isbn |
978-3-319-63516-3 |
| callnumber-first |
Q - Science |
| callnumber-subject |
Q - General Science |
| callnumber-label |
Q334-342 |
| callnumber-raw |
14697 |
| callnumber-search |
14697 |
| topic |
kényszerprogramozás számítási bonyolultság Információelmélet operációkutatás matematikai optimalizálás Artificial intelligence. Information theory Operations research. Mathematical optimization. Artificial Intelligence. Theory of Computation. Operations Research/Decision Theory. Optimization. elektronikus könyv |
| topic_facet |
kényszerprogramozás számítási bonyolultság Információelmélet operációkutatás matematikai optimalizálás Artificial intelligence. Information theory Operations research. Mathematical optimization. Artificial Intelligence. Theory of Computation. Operations Research/Decision Theory. Optimization. elektronikus könyv kényszerprogramozás számítási bonyolultság Információelmélet operációkutatás matematikai optimalizálás Artificial intelligence. Information theory Operations research. Mathematical optimization. Artificial Intelligence. Theory of Computation. Operations Research/Decision Theory. Optimization. |
| url |
http://doi.org/10.1007/978-3-319-63516-3 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
006 - Special computer methods |
| dewey-full |
006.3 |
| dewey-sort |
16.3 |
| dewey-raw |
006.3 |
| dewey-search |
006.3 |
| first_indexed |
2024-04-15T11:13:33Z |
| last_indexed |
2024-04-15T11:20:47Z |
| recordtype |
opac |
| publisher |
Cham : Springer International Publishing |
| _version_ |
1796391932477308928 |
| score |
13,371172 |
| generalnotes |
This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing number of contributions have been made on scaling constraint reasoning thanks to parallel architectures. The goal in this book is to overview these achievements in a concise way, assuming the reader is familiar with the classical, sequential background. It presents work demonstrating the use of multiple resources from single machine multi-core and GPU-based computations to very large scale distributed execution platforms up to 80,000 processing units. The contributions in the book cover the most important and recent contributions in parallel propositional satisfiability (SAT), maximum satisfiability (MaxSAT), quantified Boolean formulas (QBF), satisfiability modulo theory (SMT), theorem proving (TP), answer set programming (ASP), mixed integer linear programming (MILP), constraint programming (CP), stochastic local search (SLS), optimal path finding with A*, model checking for linear-time temporal logic (MC/LTL), binary decision diagrams (BDD), and model-based diagnosis (MBD). The book is suitable for researchers, graduate students, advanced undergraduates, and practitioners who wish to learn about the state of the art in parallel constraint reasoning. |