Title	From sparse interpolation to digital filters
Creator	Briani, Matteo
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2016-11-04T10:00
Description	In sparse polynomial interpolation, we can improve the conditioning of the problem by splitting the overall problem into several subproblems of smaller sizes. In this talk, we extend this idea to a more general scenario where the exponents are not necessarily discrete. We investigate the size-reduction strategy for this setting, which also leads us to a specific case of digital filters. This is joint work with Annie Cuyt and Wen-shin Lee (Antwerp)
Extent	28 minutes
Subject	Mathematics; Approximations and expansions; Commutative rings and algebras; Classical analysis
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of Antwerp Belgium
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2017-06-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0348101
URI	http://hdl.handle.net/2429/61837
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Graduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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