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Lectures on Proof Verification and Approximation Algorithms / edited by Ernst W. Mayr, Hans Jürgen Prömel, Angelika Steger.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Mayr, Ernst, editor.
Prömel, H. J., editor.
Steger, Angelika, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 1367.
Lecture Notes in Computer Science, 0302-9743 ; 1367
Language:
English
Subjects (All):
Computers.
Algorithms.
Computer science--Mathematics.
Computer science.
Combinatorial analysis.
Calculus of variations.
Theory of Computation.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Computation by Abstract Devices.
Combinatorics.
Calculus of Variations and Optimal Control; Optimization.
Local Subjects:
Theory of Computation.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Computation by Abstract Devices.
Combinatorics.
Calculus of Variations and Optimal Control; Optimization.
Physical Description:
1 online resource (XII, 348 pages).
Edition:
First edition 1998.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
System Details:
text file PDF
Summary:
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.
Contents:
to 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.
Other Format:
Printed edition:
ISBN:
978-3-540-69701-5
9783540697015
Access Restriction:
Restricted for use by site license.

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