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An approximation algorithm is an algorithm that finds an approximate solution to a (typically NP-hard) problem. The quality of the algorithm is measured by how close to the actual optimum it performs. For example, it is a constant factor approximation algorithm if it always outputs a solution that is within a constant factor of the optimum. Hardness of approximation is one way to separate NP-hard problems.

2 votes

Set Cover:Greedy vs LP

This is really a comment, not an answer, but for whatever reason I see no comment field. You can view the standard greedy set cover algorithm as a derandomization (using the method of conditional pr …
Neal Young's user avatar
1 vote

Approximate Set Cover Problem by Rounding

Yes, I believe there are instances of set cover where optimal basic feasible solutions (vertices of the polytope) have coordinates in $(0,1/f)$. Here is (I think) an example with $f=3$. Create 13 se …
Neal Young's user avatar