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Persistent URL http://purl.org/net/epubs/work/40161107
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Record Id 40161107
Title A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows
Contributors
Abstract
Organisation STFC , SCI-COMP
Keywords
Funding Information Engineering and Physical Sciences Research Council (EPSRC) (EP/M025179/1); Grantová Agentura České Republiky (17-04150J)
Related Research Object(s): 32680549
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Language English (EN)
Type Details URI(s) Local file(s) Year
Journal Article Numerical Algorithms 79, no. 4 (2018): 1147-1168. doi:10.1007/s11075-018-0478-2 2018