A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: tridiagonal kernel enhanced multivariance products representation (TKEMPR)
type: Item
instance of: scholarly article
title: A self-consistent high dimensional modelling based decomposition approach for univariate linear integral operators: tridiagonal kernel enhanced multivariance products representation (TKEMPR)
zbMATH Open document ID: 1370.65080
author: Ayla Okan
author: Metin Demiralp
published in: Journal of Computational and Applied Mathematics
publication date: 2017-08-01T00:00:00Z
Mathematics Subject Classification ID: 65R20
Mathematics Subject Classification ID: 45P05
Mathematics Subject Classification ID: 45A05
zbMATH DE Number: 6755382
zbMATH Keywords: high-dimensional modelling
zbMATH Keywords: linear integral operators
zbMATH Keywords: enhanced multivariance products representation
zbMATH Keywords: tridiagonal kernel enhanced multivariance products representation
zbMATH Keywords: numerical linear algebra
zbMATH Keywords: decomposition methods
MaRDI profile type: Publication
full work available at URL: j.cam.2017.05.024
OpenAlex ID: W2617021141
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DOI: 10.1016/J.CAM.2017.05.024
description: scientific article; zbMATH DE number 6755382