Strong convergence estimates for pseudospectral methods
type: Item
instance of: scholarly article
title: Strong convergence estimates for pseudospectral methods
zbMATH Open document ID: 0767.65064
author: Wilhelm Heinrichs
published in: Applications of Mathematics
publication date: 1993-05-16T00:00:00Z
full work available at URL: https://eudml.org/doc/15724
review text: The author discusses strong convergence estimates for pseudospectral methods applied to ordinary boundary value problems. A convergence test is presented. Different types of nodes are examined and compared.
Mathematics Subject Classification ID: 65L10
Mathematics Subject Classification ID: 65L60
Mathematics Subject Classification ID: 34B05
zbMATH DE Number: 167846
zbMATH Keywords: strong convergence estimates
zbMATH Keywords: pseudospectral methods
zbMATH Keywords: Schwarz algorithm
zbMATH Keywords: domain decomposition
zbMATH Keywords: Legendre nodes
zbMATH Keywords: Chebyshev nodes
reviewed by: Prabhat Kumar Mahanti
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 167846