Abstract
Let P be an optimization problem, and let A be an approximation algorithm for P. The domination ratio domr(A, n) is the maximum real q such that the solution x(I) obtained by A for any instance I of P of size n is not worse than at least a fraction q of the feasible solutions of I. We describe a deterministic, polynomial-time algorithm with domination ratio 1 - o(1) for the partition problem, and a deterministic, polynomial-time algorithm with domination ratio Ω(1) for the MaxCut problem and for some far-reaching extensions of it, including Max-r-Sat, for each fixed r. The techniques combine combinatorial and probabilistic methods with tools from harmonic analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 118-131 |
| Number of pages | 14 |
| Journal | Journal of Algorithms |
| Volume | 50 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2004 |
| Externally published | Yes |
Keywords
- Approximation algorithms
- Combinatorial optimization
- Domination analysis
ASJC Scopus subject areas
- Control and Optimization
- Computational Mathematics
- Computational Theory and Mathematics