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Lectures on Proof Verification and Approximation Algorithms

Lecture Notes in Computer Science 1367
ISBN/EAN: 9783540642015
Umbreit-Nr.: 1507699

Sprache: Englisch
Umfang: xii, 348 S.
Format in cm:
Einband: kartoniertes Buch

Erschienen am 25.02.1998
€ 53,49
(inklusive MwSt.)
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  • Zusatztext
    • 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.
  • Kurztext
    • This book coherently summarizes the spectacular progress achieved in the areas of approximation algorithms and combinatorial optimization during the last few years.Includes supplementary material: sn.pub/extras
  • Schlagzeile
    • Inhaltsangabeto the theory of complexity and approximation algorithms.- to randomized algorithms.- Derandomization.- Proof checking and non-approximability.- Proving the PCP-Theorem.- Parallel repetition of MIP(2,1) systems.- Bounds for approximating MaxLinEq3-2 and MaxEkSat.- Deriving non-approximability results by reductions.- Optimal non-approximability of MaxClique.- The hardness of approximating set cover.- Semidefinite programming and its applications to approximation algorithms.- Dense instances of hard optimization problems.- Polynomial time approximation schemes for geometric optimization problems in euclidean metric spaces.