Computers and intractability : A guide to the theory of NP-completeness

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Dades bibliogràfiques
Autors principals: Garey, Michael R., Johnson, David S., 1945-2016 (Autor)
Format: Livre papier
Idioma:Anglais
Publicat: New York, N.Y : W. H. Freeman C 1979.
Col·lecció:A series of books in the mathematical sciences / Victor Klee, editor
Matèries:
Nota: Autres tirages : 1999, 2000, 2002, 2003, 2008
Autres localisations: Voir dans le Sudoc
Variante du titre:NP-completeness
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082 |a 518.1 
084 |a F.2 
084 |a 03D15. 1991 
084 |a 68A20. 1991 
084 |a 68C25. 1991 
100 1 |a Garey, Michael R. 
240 1 0 |a NP-completeness 
245 1 0 |a Computers and intractability :  |b A guide to the theory of NP-completeness   |c Michael R. Garey, David S. Johnson,... 
260 |a New York, N.Y :  |b W. H. Freeman. 
260 |c C 1979. 
300 |a 1 volume (X-338 pages) :  |b illustrations, graphiques, couverture illustrée ;  |c 24 cm. 
490 1 |a A series of books in the mathematical sciences / Victor Klee, editor 
500 |a Autres tirages : 1999, 2000, 2002, 2003, 2008 
504 |a Bibliographie p. [291]-325. Index 
505 0 |a 1. Computers, complexity, and intractability -- 1.1 Introduction -- 1.2 Problems, algorithms, and complexity -- 1.4 Provably intractable problems -- 1.5 NP-complete problems -- 1.6 An outline of the book -- 2. The theory of NP-completeness -- 2.1 Decision problems, languages, and encoding schemes -- 2.2 Deterministic Turing machines and the class P -- 2.3 Nondeterministic computation and the class NP -- 2.4 The relationship between P and NP -- 2.5 Polynomial transformations and NP-completeness -- 2.6 Cook's theorem -- 3. Proving NP-completeness results -- 3.1 Six basic NP-complete problems -- 3.2 Some techniques for proving NP-completeness -- 3.3 Some suggested exercises -- 4. Using NP-completeness to analyze problems -- 4.1 Analyzing subproblems -- 4.2 Number problems and strong NP-completeness -- 4.3 Time complexity as a function of natural parameters -- 5. NP-hardness -- 5.1 Turing reducibility and NP-hard problems -- 5.2 A terminological history -- 6. Coping with NP-complete problems -- 6.1 Performance guarantees for approximation algorithms -- 6.2 Applying NP-completeness to approximation problems -- 6.3 Performance guarantees and behavior "in practice" -- 7. Beyond NP-completeness -- 7.1 The structure of NP -- 7.2 The polynomial hierarchy -- 7.3 The complexity of enumeration problems -- 7.4 Polynomial space completeness -- 7.5 Logarithmic space -- 7.6 Proofs of intractability and P vs. NP -- Appendix : a list of NP-complete problems -- A1. Graph theory -- A2. Network design -- A3. Sets and partitions -- A4. Storage and retrieval -- A5. Sequencing and scheduling -- A6. Mathematical programming -- A7. Algebra and number theory -- A8. Games and puzzles -- A9. Logic -- A10. Automata and language theory -- A11. Program optimization -- A12. Miscellaneous -- A13. Open problems 
650 |a Ordinateurs 
650 |a Complexité de calcul (informatique) 
650 |a Analyse combinatoire 
650 |a Théorème de complétude 
700 1 |a Johnson, David S.,  |d 1945-2016.  |4 aut 
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