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Best Approximation of Data Distributed in a Band
Author(s) -
H‎. ‎H‎. Cuenya‎,
F‎. ‎E‎. Levis,
Claudia Rodríguez
Publication year - 2011
Publication title -
isrn mathematical analysis
Language(s) - English
Resource type - Journals
eISSN - 2090-4665
pISSN - 2090-4657
DOI - 10.5402/2011/147026
Subject(s) - measure (data warehouse) , data set , set (abstract data type) , plane (geometry) , sense (electronics) , mathematics , computer science , algorithm , statistics , data mining , geometry , engineering , electrical engineering , programming language
We study the problem to approximate a data set which are affected in a such way that they present us as a band in the plane. We introduce a deviation measure, and we research the asymptotic behavior of the best approximants when the band shrink in some sense.

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