Article ID Journal Published Year Pages File Type
9657922 Theoretical Computer Science 2005 17 Pages PDF
Abstract
We obtain the results through the constraint satisfaction problem over multi-valued domains, for which we develop approximation algorithms and show non-approximability results. Our parallel approximation algorithms are based on linear programming and random rounding; they are better than previously known sequential algorithms. The non-approximability results are based on new recent progress in the fields of probabilistically checkable proofs and multi-prover one-round proof systems.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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