Solution of large-scale weighted least-squares problems
| dc.contributor.author | Baryamureeba, Venansius | |
| dc.date.accessioned | 2022-07-18T10:45:21Z | |
| dc.date.available | 2022-07-18T10:45:21Z | |
| dc.date.issued | 2002 | |
| dc.description.abstract | A sequence of least-squares problems of the form miny G1=2(ATy−h) 2, where G is an n×n positive definite diagonal weight matrix, and A an m×n (m6n) sparse matrix with some dense columns; has many applications in linear programming, electrical networks, elliptic boundary value problems, and structural analysis. We suggest low-rank correction preconditioners for such problems, and a mixed solver (a combination of a direct solver and an iterative solver). The numerical results show that our technique for selecting the low-rank correction matrix is very effective. Copyright ? 2002 John Wiley & Sons, Ltd. | en_US |
| dc.identifier.citation | Baryamureeba, V. (2002). Solution of large‐scale weighted least‐squares problems. Numerical linear algebra with applications , 9 (2), 93-106. DOI: 10.1002/nla.232 | en_US |
| dc.identifier.other | 10.1002/nla.232 | |
| dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/4221 | |
| dc.language.iso | en | en_US |
| dc.publisher | Numerical linear algebra with applications | en_US |
| dc.subject | Least squares | en_US |
| dc.subject | Conjugate gradients | en_US |
| dc.subject | Preconditioner | en_US |
| dc.subject | Dense columns | en_US |
| dc.title | Solution of large-scale weighted least-squares problems | en_US |
| dc.type | Article | en_US |
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