Engineering a Combinatorial Laplacian Solver: Lessons Learned
Linear system solving is a main workhorse in applied mathematics. Recently, theoretical computer scientists contributed sophisticated algorithms for solving linear systems with symmetric diagonally-dominant (SDD) matrices in provably nearly-linear time. These algorithms are very interesting from a t...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-10-01
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Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/9/4/72 |