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A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows (2018)

First Author: Scott J

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