Polynomial time approximation schemes for dense instances of NP-hard problems
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
A Geometric Approach to Betweenness
SIAM Journal on Discrete Mathematics
Random sampling and approximation of MAX-CSP problems
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Polynomial time approximation schemes for dense instances of minimum constraint satisfaction
Random Structures & Algorithms
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Hardness of fully dense problems
Information and Computation
Aggregation of partial rankings, p-ratings and top-m lists
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Yet another algorithm for dense max cut: go greedy
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Aggregating inconsistent information: Ranking and clustering
Journal of the ACM (JACM)
Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
Proceedings of the forty-first annual ACM symposium on Theory of computing
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Every Permutation CSP of arity 3 is Approximation Resistant
CCC '09 Proceedings of the 2009 24th Annual IEEE Conference on Computational Complexity
Betweenness parameterized above tight lower bound
Journal of Computer and System Sciences
Kernel and fast algorithm for dense triplet inconsistency
Theoretical Computer Science
Hi-index | 0.00 |
We settle the approximability status of the Minimum Betweenness problem in tournaments by designing a polynomial time approximation scheme (PTAS). No constant factor approximation was previously known. We also introduce a more general class of so-called fragile ranking problems and construct PTASs for them. The results depend on a new technique of dealing with fragile ranking constraints and could be of independent interest.