Error sensitive multivariate polynomial interpolation

dc.contributor.authorHaller, Kirk
dc.contributor.authorMann, Stephen
dc.date.accessioned2026-07-30T15:57:21Z
dc.date.issued2021-05-14
dc.description.abstractIn this paper, we make a strong connection between algebraic geometry and interpolation. In particular, we use algebraic geometry tools to develop a machinery for the analysis of Newton or nested multivariate interpolation schemes. The main practical result coming out of our analysis is that for robustness, one should replace the condition of minimal degree with a minimally complete condition that is introduced in this paper. We show how to construct minimally complete schemes and provide examples.
dc.identifier.urihttps://hdl.handle.net/10012/23886
dc.language.isoen
dc.publisherUniversity of Waterloo
dc.relation.ispartofseriesComputer Science Technical Reports; CS-2021-01
dc.titleError sensitive multivariate polynomial interpolation
dc.typeTechnical Report
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2David R. Cheriton School of Computer Science
uws.peerReviewStatusUnreviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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