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On the Sup-norm Condition Number of the Multivariate Triangular Bernstein Basis

On the \(p\)-norm condition number of the multivariate triangular Bernstein basis
Authors: Lyche, Tom; Scherer, Karl;

On the Sup-norm Condition Number of the Multivariate Triangular Bernstein Basis

Abstract

The authors recall the definition of the \(p\)-norm condition number and state some facts about the multivariate Bernstein basis. In particular, they study the 2-norm case. The condition number can then be computed exactly from the eigenvalues of the Gram matrix of the Bernstein basis. They show that the condition number for fixed \(s\) grows like \(O(n^s 2^n)\), as \(n\) increases. They end the paper with an appendix on the connection between Bernstein and Legendre polynomials on simplices.

Related Organizations
Keywords

Polynomial approximation, Applied Mathematics, Numerical computation of matrix norms, conditioning, scaling, Multidimensional approximation, Computational Mathematics, Approximation by polynomials, multivariate Bernstein basis, Error analysis, Algorithms for approximation of functions, multidimensional approximation, Condition number, approximation, error analysis, condition number

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
hybrid