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Approximation algorithms

OPAC (1/1)

Elektronisches Buch

Approximation algorithms

Verfasser: Vazirani, Vijay V.
Ausgabe: corrected second printing
Verlagsort, Verlag, Jahr: Berlin ; Heidelberg, Springer, 2003
Umfang: 1 Online-Ressource (XIX, 380 Seiten)
Schlagwort: Approximationsalgorithmus
ISBN: 9783662045657


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Titel: Approximation algorithms
Von: Vijay V. Vazirani
Verfasser: Vazirani, Vijay V.   Fragezeichen
Ausgabe: corrected second printing
Verlagsort: Berlin ; Heidelberg
Verlag: Springer
Jahr: 2003
Umfang: 1 Online-Ressource (XIX, 380 Seiten)
Details: Illustrationen
Abstract: This book covers the dominant theoretical approaches to the approximate solution of hard combinatorial optimization and enumeration problems. It contains elegant combinatorial theory, useful and interesting algorithms, and deep results about the intrinsic complexity of combinatorial problems. Its clarity of exposition and excellent selection of exercises will make it accessible and appealing to all those with a taste for mathematics and algorithms. Richard Karp,University Professor, University of California at Berkeley Following the development of basic combinatorial optimization techniques in the 1960s and 1970s, a main open question was to develop a theory of approximation algorithms. In the 1990s, parallel developments in techniques for designing approximation algorithms as well as methods for proving hardness of approximation results have led to a beautiful theory. The need to solve truly large instances of computationally hard problems, such as those arising from the Internet or the human genome project, has also increased interest in this theory. The field is currently very active, with the toolbox of approximation algorithm design techniques getting always richer. It is a pleasure to recommend Vijay Vazirani's well-written and comprehensive book on this important and timely topic. I am sure the reader will find it most useful both as an introduction to approximability as well as a reference to the many aspects of approximation algorithms. László Lovász, Senior Researcher, Microsoft Research
Andere Ausgabe: Erscheint auch als
_Bemerkung: Druck-Ausgabe
_ISBN: 978-3-642-08469-0
ISBN: 9783662045657
DOI: 10.1007/978-3-662-04565-7
E-Book TUM: https://ebookcentral.proquest.com/lib/munchentech/detail.action?docID=3097734
E-Book TUM: https://doi.org/10.1007/978-3-662-04565-7
Volltext: https://doi.org/10.1007/978-3-662-04565-7
Schlagwort: Approximationsalgorithmus
TUM-Systematik: DAT 530f
TUM-Systematik: MAT 913f
B3Kat-Nr: BV046672238