An sdp-based algorithm for linear-sized spectral sparsification

YT Lee, H Sun - Proceedings of the 49th annual acm sigact symposium …, 2017 - dl.acm.org
For any undirected and weighted graph G=(V, E, w) with n vertices and m edges, we call a
sparse subgraph H of G, with proper reweighting of the edges, a (1+ ε)-spectral sparsifier if …

An SDP-based algorithm for linear-sized spectral sparsification

YT Lee, H Sun - 49th Annual ACM SIGACT Symposium on …, 2017 - research.ed.ac.uk
An SDP-based algorithm for linear-sized spectral sparsification — University of Edinburgh
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[PDF][PDF] An SDP-Based Algorithm for Linear-Sized Spectral Sparsification

YT Lee, H Sun - 2017 - homepages.inf.ed.ac.uk
A sparse graph is one whose number of edges is reasonably viewed as being proportional
to the number of vertices. Since most algorithms run faster on sparse instances of graphs …

[PDF][PDF] An SDP-Based Algorithm for Linear-Sized Spectral Sparsification

YT Lee, H Sun - arXiv preprint arXiv:1702.08415, 2017 - researchgate.net
For any undirected and weighted graph G=(V, E, w) with n vertices and m edges, we call a
sparse subgraph H of G, with proper reweighting of the edges, a (1+ ε)-spectral sparsifier if …

[引用][C] An SDP-based algorithm for linear-sized spectral sparsification

YT Lee, H Sun - Proceedings of the 49th Annual ACM SIGACT …, 2017 - cir.nii.ac.jp
An SDP-based algorithm for linear-sized spectral sparsification | CiNii Research CiNii 国立
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An SDP-Based Algorithm for Linear-Sized Spectral Sparsification

YT Lee, H Sun - arXiv preprint arXiv:1702.08415, 2017 - arxiv.org
For any undirected and weighted graph $ G=(V, E, w) $ with $ n $ vertices and $ m $ edges,
we call a sparse subgraph $ H $ of $ G $, with proper reweighting of the edges, a …