Excluded minors, network decomposition, and multicommodity flow
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Divide-and-conquer approximation algorithms via spreading metrics
Journal of the ACM (JACM)
Expander flows, geometric embeddings and graph partitioning
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
New Approximation Techniques for Some Linear Ordering Problems
SIAM Journal on Computing
Euclidean distortion and the sparsest cut
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
On distance scales, embeddings, and efficient relaxations of the cut cone
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Embeddings of negative-type metrics and an improved approximation to generalized sparsest cut
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
l22 spreading metrics for vertex ordering problems
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Partitioning graphs into balanced components
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Expander flows, geometric embeddings and graph partitioning
Journal of the ACM (JACM)
Bounds on the Geometric Mean of Arc Lengths for Bounded-Degree Planar Graphs
FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
FPGA placement using space-filling curves: Theory meets practice
ACM Transactions on Embedded Computing Systems (TECS)
Approximating the minimum quadratic assignment problems
ACM Transactions on Algorithms (TALG)
The directed circular arrangement problem
ACM Transactions on Algorithms (TALG)
Decorous Lower Bounds for Minimum Linear Arrangement
INFORMS Journal on Computing
Inapproximability Results for Maximum Edge Biclique, Minimum Linear Arrangement, and Sparsest Cut
SIAM Journal on Computing
d-dimensional arrangement revisited
Information Processing Letters
Hi-index | 0.89 |
We observe that combining the techniques of Arora, Rao, and Vazirani, with the rounding algorithm of Rao and Richa yields an O(√logn log logn)-approximation for the minimum-linear arrangement problem. This improves over the O(logn)-approximation of Rao and Richa.