Scaling and pivoting in an out-of-core sparse direct solver
Work
Year: 2010
Type: article
Abstract: Out-of-core sparse direct solvers reduce the amount of main memory needed to factorize and solve large sparse linear systems of equations by holding the matrix data, the computed factors, and some of ... more
Author J. A. Scott
Institution Rutherford Appleton Laboratory
Cites: 28
Cited by: 9
Related to: 10
FWCI: 1.18
Citation percentile (by year/subfield): 75.79
Topic: Matrix Theory and Algorithms
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Grant ID EP/E053351/1