Continuous and discrete best polynomial degree reduction with Jacobi and Hahn weights
KAUST DepartmentVisual Computing Center (VCC)
MetadataShow full item record
AbstractWe show that the weighted least squares approximation of Bézier coefficients with Hahn weights provides the best polynomial degree reduction in the Jacobi L2L2-norm. A discrete analogue of this result is also provided. Applications to Jacobi and Hahn orthogonal polynomials are presented.
CitationContinuous and discrete best polynomial degree reduction with Jacobi and Hahn weights 2016 Journal of Approximation Theory
JournalJournal of Approximation Theory