The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems (2017)
Attributed to:
Least Squares: Fit for the Future
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1145/3014057
Publication URI: http://dx.doi.org/10.1145/3014057
Type: Journal Article/Review
Parent Publication: ACM Transactions on Mathematical Software
Issue: 4