dc.date.accessioned | 2023-11-10T09:15:33Z | |
dc.date.available | 2023-11-10T09:15:33Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://publications.mfo.de/handle/mfo/4080 | |
dc.description.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. | |
dc.title | Mini-Workshop: Multivariate Orthogonal Polynomials: New synergies with Numerical Analysis | |
dc.rights.license | Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. | de |
dc.rights.license | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties. | en |
dc.identifier.doi | 10.14760/OWR-2023-43 | |
local.series.id | OWR-2023-43 | |
local.subject.msc | 33 | |
local.subject.msc | 31 | |
local.subject.msc | 41 | |
local.subject.msc | 65 | |
local.date-range | 24 Sep - 29 Sep 2023 | |
local.workshopcode | 2339b | |
local.workshoptitle | Mini-Workshop: Multivariate Orthogonal Polynomials: New synergies with Numerical Analysis | |
local.organizers | Annie Cuyt, Stirling; Markus Melenk, Wien; Stefan Sauter, Zürich; Yuan Xu, Eugene | |
local.report-name | Workshop Report 2023,43 | |
local.opc-photo-id | 2339b | |
local.publishers-doi | 10.4171/OWR/2023/43 | |