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Best Rational Approximation and Strict Quasi-Convexity

dc.contributor.authorBarrodale, I
dc.date.accessioned2020-01-16T20:56:59Z
dc.date.available2020-01-16T20:56:59Z
dc.date.copyright1971en_US
dc.date.issued1971
dc.description.abstractIf a continuous function is strictly quasi-convex on a convex set $\Gamma $, then every local minimum of the function must be a global minimum. Furthermore, every local maximum of the function on the interior of $\Gamma $ must also be a global minimum. Here, we prove that any minimax rational approximation problem defines a strictly quasi-convex function with the property that a best approximation (if one exists) is a minimum of that function. The same result is not true in general for best rational approximation in other norms.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipSponsored by the United States Army under Contract No.: DA-31-124-ARO-D-462 and by the Department of Mathematics, University of Victoria, Victoria, B.C., Canada.en_US
dc.identifier.citationBarrodale, I. (1971). Best Rational Approximation and Strict Quasi-Convexity. MRC Technical Summary Report #1157.en_US
dc.identifier.urihttp://hdl.handle.net/1828/11492
dc.language.isoenen_US
dc.subject.departmentDepartment of Computer Science
dc.titleBest Rational Approximation and Strict Quasi-Convexityen_US
dc.typeTechnical Reporten_US

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