Lectures on proof verification and approximation algorithms

During the last few years, we have seen quite spectacular progress in the area of approximation algorithms: for several fundamental optimization problems we now actually know matching upper and lower bounds for their approximability. This textbook-like tutorial is a coherent and essentially self-con...

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Xehetasun bibliografikoak
Egile nagusia: Mayr, Ernst W., 1950-
Beste egile batzuk: Prömel, Hans Jürgen (Argitalpenaren zuzendaria), Steger, Angelika, 1962- (Argitalpenaren zuzendaria)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Saila:Lecture notes in computer science 1367
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Edition sous un autre format:• Lectures on proof verification and approximation algorithms, Ernst W. Mayr, Hans Jürgen Prömel, Angelika Steger (eds.), 1998, Berlin, Springer, 1 vol. (XII-344 p.), Lecture notes in computer science, 3-540-64201-3
• Lectures on Proof Verification and Approximation Algorithms, Texte imprimé, 9783662171806
Deskribapena
Gaia:During the last few years, we have seen quite spectacular progress in the area of approximation algorithms: for several fundamental optimization problems we now actually know matching upper and lower bounds for their approximability. This textbook-like tutorial is a coherent and essentially self-contained presentation of the enormous recent progress facilitated by the interplay between the theory of probabilistically checkable proofs and aproximation algorithms. The basic concepts, methods, and results are presented in a unified way to provide a smooth introduction for newcomers. These lectures are particularly useful for advanced courses or reading groups on the topic.
Alearen deskribapena:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540697015 (PDF)
ISSN:1611-3349
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017