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The Ethereal
Hardness Results for Structured Linear Systems
May 08, 2017 ยท The Ethereal ยท ๐ IEEE Annual Symposium on Foundations of Computer Science
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Authors
Rasmus Kyng, Peng Zhang
arXiv ID
1705.02944
Category
cs.CC: Computational Complexity
Cross-listed
cs.DS,
math.NA
Citations
21
Venue
IEEE Annual Symposium on Foundations of Computer Science
Last Checked
1 month ago
Abstract
We show that if the nearly-linear time solvers for Laplacian matrices and their generalizations can be extended to solve just slightly larger families of linear systems, then they can be used to quickly solve all systems of linear equations over the reals. This result can be viewed either positively or negatively: either we will develop nearly-linear time algorithms for solving all systems of linear equations over the reals, or progress on the families we can solve in nearly-linear time will soon halt.
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