The paper contributes to the systematic study (started by Berman and Karpinski) of explicit approximability lower bounds for small occurrence optimization problems. We present parametrized reductions for some packing and covering problems, including 3-Dimensional Matching, and prove the best known inapproximability results even for highly restricted versions of them. For example, we show that it is NPhard to approximate Max-3-DM within 139 138 even on instances with exactly two occurrences of each element. Previous known hardness results for bounded occurence case of the problem required that the bound is at least three, and even then no explicit lower bound was known
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
Introduction The last few years have seen much progress in proving "non-approximability result...
We present efficient new randomized and deterministic methods for transforming optimal solutions for...
The paper contributes to the systematic study (started by Berman and Karpinski) of explicit approxim...
AbstractWe study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover....
We study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover. The goa...
AbstractWe study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover....
We study small degree graph problems such as MAXIMUM INDEPENDENT SET and MINIMUM NODE COVER and impr...
We provide the first interesting explicit lower bounds on efficient approximability for two closely ...
Bansal and Sviridenko [N. Bansal, M. Sviridenko, New approximability and inapproximability results f...
We prove some non-approximability results for restrictions of basic combinatorial optimization probl...
An α-approximation algorithm is an algorithm guaranteed to output a solution that is within an α rat...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
In the test cover problem a set of m items is given together with a collection of subsets, called t...
AbstractBansal and Sviridenko [N. Bansal, M. Sviridenko, New approximability and inapproximability r...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
Introduction The last few years have seen much progress in proving "non-approximability result...
We present efficient new randomized and deterministic methods for transforming optimal solutions for...
The paper contributes to the systematic study (started by Berman and Karpinski) of explicit approxim...
AbstractWe study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover....
We study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover. The goa...
AbstractWe study low degree graph problems such as Maximum Independent Set and Minimum Vertex Cover....
We study small degree graph problems such as MAXIMUM INDEPENDENT SET and MINIMUM NODE COVER and impr...
We provide the first interesting explicit lower bounds on efficient approximability for two closely ...
Bansal and Sviridenko [N. Bansal, M. Sviridenko, New approximability and inapproximability results f...
We prove some non-approximability results for restrictions of basic combinatorial optimization probl...
An α-approximation algorithm is an algorithm guaranteed to output a solution that is within an α rat...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
In the test cover problem a set of m items is given together with a collection of subsets, called t...
AbstractBansal and Sviridenko [N. Bansal, M. Sviridenko, New approximability and inapproximability r...
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximab...
Introduction The last few years have seen much progress in proving "non-approximability result...
We present efficient new randomized and deterministic methods for transforming optimal solutions for...