Some Extensions of an Algorithm for Sparse Linear Least Squares Problems
Journal Article
·
· SIAM Journal on Scientific and Statistical Computing
In this paper several algorithms are developed which extend the method of George and Heath for sparse linear least squares problems to include rank deficient problems, linear equality constrained problems, and updating of solutions. An application of these methods to the solution of sparse square nonsymmetric linear systems is also presented.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- W-7405-ENG-26
- OSTI ID:
- 6787320
- Report Number(s):
- ORNL/CSD-80
- Journal Information:
- SIAM Journal on Scientific and Statistical Computing, Journal Name: SIAM Journal on Scientific and Statistical Computing Journal Issue: 2 Vol. 3; ISSN 2168-3417; ISSN 0196-5204
- Publisher:
- Society for Industrial and Applied Mathematics (SIAM)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Numerical methods for large sparse linear least squares problems
Numerical methods for large sparse linear least-squared problems
Comparison of some methods for solving sparse linear least-squares problems
Journal Article
·
Sat Sep 01 00:00:00 EDT 1984
· SIAM J. Sci. Stat. Comput.; (United States)
·
OSTI ID:6126540
Numerical methods for large sparse linear least-squared problems
Technical Report
·
Thu Mar 31 23:00:00 EST 1983
·
OSTI ID:6163033
Comparison of some methods for solving sparse linear least-squares problems
Journal Article
·
Wed Jun 01 00:00:00 EDT 1983
· SIAM J. Sci. Stat. Comput.; (United States)
·
OSTI ID:6144201