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Analysis of polynomial approximation algorithms for constraint expressions

  • Karl J. Lieberherr
  • Stephen A. Vavasis
Contributed Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 145)

Abstract

The generalized maximum satisfiability problem contains a large class of interesting combinatorial optimization problems. Since most of them are NP-complete we analyze fast approximation algorithms.

Every generalized ψ-satisfiability problem has a polynomial ɛψ-approximate algorithm for a naturally defined constant ɛψ, 0≤ɛψ>1 which is determined here explicitly for several ψ. It is shown that ɛψ can be approximated by the Soviet Ellipsoid Algorithm. The fraction ɛψis known to be best-possible in the sense that the following set is NP-complete: The ψ-formulas S which have an assignment satisfying the fraction τ' <1−ɛψ(τ' rational) of all clauses in S.

Among other results we also show that for many ψ, local search algorithms fail to be ɛψ-approximate algorithms. In some cases, local search algorithms can be arbitrarily far from optimal.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1982

Authors and Affiliations

  • Karl J. Lieberherr
    • 1
  • Stephen A. Vavasis
    • 2
  1. 1.Institut für Informatik ETH ZurichZurich
  2. 2.Dept. of MathematicsPrinceton UniversityPrinceton

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