Bookbot

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

Ocena książki

Więcej o książce

In computer science, more specifically computational complexity theory, Computers and Intractability: A Guide to the Theory of NP-Completeness is an influential textbook by Michael Garey and David S. Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

Zakup książki

Computers and intractability : a guide to the theory of NP-completeness, Michael R Garey, David S Johnson

Język
Rok wydania
1979
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

4,2
Bardzo dobra
207 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Computers and intractability : a guide to the theory of NP-completeness
Język
angielski
Rok wydania
1979
Oprawa
miękka
ISBN10
0716710455
ISBN13
9780716710455
Seria
Ocena
4,15 z 5
Opis
In computer science, more specifically computational complexity theory, Computers and Intractability: A Guide to the Theory of NP-Completeness is an influential textbook by Michael Garey and David S. Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.