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Persistent URL http://purl.org/net/epubs/work/42012632
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Record Id 42012632
Title Error estimates for iterative algorithms for minimizing regularized quadratic subproblems
Contributors
Abstract We derive bounds for the objective errors and gradient residuals when finding approximations to the solution of common regularized quadratic optimization problems within evolving Krylov spaces. These provide upper bounds on the number of iterations required to achieve a given stated accuracy. We illustrate the quality of our bounds on given test examples.
Organisation STFC , SCI-COMP
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Language English (EN)
Type Details URI(s) Local file(s) Year
Report RAL Technical Reports RAL-TR-2019-004. STFC, 2019. RAL-TR-2019-004.pdf 2019
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