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

Title
A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows
Authors
Keywords
Large-scale linear least-squares problems, Dense rows, Augmented system, Schur complement, Iterative solvers, Preconditioning, Cholesky factorization, Incomplete factorizations
Journal
NUMERICAL ALGORITHMS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-01-31
DOI
10.1007/s11075-018-0478-2

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started