Âé¶¹´«Ã½AV

Multivariate Orthogonal Polynomials: new synergies with Numerical Analysis

Details

Citation

(2024) Multivariate Orthogonal Polynomials: new synergies with Numerical Analysis. volume 20. Oberwolfach reports. Oberwolfach mini-workshop, Oberwolfach (Germany), 26.09.2023-04.03.2023. MFO. https://doi.org/10.4171/OWR/2023/43

Abstract
Multivariate polynomials and, in particular, multivariate orthogonal polynomials (MOPs) are research areas within the fields of special functions, Lie groups, quantum groups, computer algebra to name only some of them. However, there are many important areas in the field of numerical analysis where multivariate polynomials (of high order) play a crucial role: approximation by spectral methods and finite elements, discrete calculus, polynomial trace liftings, exact sequence properties, sparsity, efficient and stable recursions, analysis of the geometry of the zeros. The miniworkshop brought together experts from the fields of MOPs and numerical analysis of partial differential equations.

Notes
Report No 43/2023

StatusPublished
Title of seriesOberwolfach reports
Publication date30/04/2024
PublisherMFO
ConferenceOberwolfach mini-workshop
Conference locationOberwolfach (Germany)
Dates¨C

People (1)

Professor Annie Cuyt

Professor Annie Cuyt

Honorary Professor, Computing Science and Mathematics - Division