arXiv · 1508.03261
Constructing Linear-Sized Spectral Sparsification in Almost-Linear Time
Abstract
We present the first almost-linear time algorithm for constructing linear-sized spectral sparsification for graphs. This improves all previous constructions of linear-sized spectral sparsification, which requires $\Omega(n^2)$ time. A key ingredient in our algorithm is a novel combination of two techniques used in literature for constructing spectral sparsification: Random sampling by effective resistance, and adaptive constructions based on barrier functions.
Explore related subjects
Keep this discovery
Yin Tat Lee, He Sun. 2015-08-13. Constructing Linear-Sized Spectral Sparsification in Almost-Linear Time. https://arxiv.org/abs/1508.03261
Cite the original work for its findings. Save a collection to share your selection of sources.