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dc.contributor.authorRiedy, E. Jason
dc.date.accessioned2009-09-02T16:50:56Z
dc.date.available2009-09-02T16:50:56Z
dc.date.issued2009-08-21
dc.identifier.urihttp://hdl.handle.net/1853/29795
dc.descriptionJason Riedy of the College of Computing, Computational Science & Engineering (CSE) division presented a lecture on August 21, 2009 at 2:00 pm in room 2443 of the Klaus Advanced Computing Building on the Georgia Tech campus.en
dc.description.abstractSolving a square linear system Ax=b often is considered a black box. It's supposed to "just work," and failures often are blamed on the original data or subtleties of floating-point. Now that we have an abundance of cheap computations, however, we can do much better. A little extra precision in just the right places produces accurate solutions cheaply or demonstrates when problems are too hard to solve without significant cost. This talk will outline the method, iterative refinement with a new twist; the benefits, small backward and forward errors; and the trade-offs and unexpected benefits.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesComputational Science and Engineering Seminar Seriesen_US
dc.subjectLinear algebraen
dc.subjectFloating pointen
dc.titleDependable direct solutions for linear systems using a little extra precisionen
dc.typeLectureen
dc.typeVideo
dc.contributor.corporatenameGeorgia Institute of Technology. School of Computational Science and Engineering


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