A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows (2018)
Attributed to:
Least Squares: Fit for the Future
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/s11075-018-0478-2
Publication URI: http://dx.doi.org/10.1007/s11075-018-0478-2
Type: Journal Article/Review
Parent Publication: Numerical Algorithms
Issue: 4