Linear regression models, least-squares problems, normal equations, and stopping criteria for the conjugate gradient method
type: Item
instance of: scholarly article
title: Linear regression models, least-squares problems, normal equations, and stopping criteria for the conjugate gradient method
zbMATH Open document ID: 1305.65021
published in: Computer Physics Communications
publication date: 2014-12-17T00:00:00Z
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 65F10
zbMATH DE Number: 6381357
zbMATH Keywords: linear regression
zbMATH Keywords: least squares problems
zbMATH Keywords: conjugate gradient
zbMATH Keywords: sparse matrices
zbMATH Keywords: stopping criteria
zbMATH Keywords: normal equation
zbMATH Keywords: numerical test
author: M. Arioli
author: Serge Gratton
describes a project that uses: SparseMatrix
describes a project that uses: LSQR
describes a project that uses: CRAIG
MaRDI profile type: Publication
full work available at URL: j.cpc.2012.05.023
OpenAlex ID: W2068957749
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DOI: 10.1016/J.CPC.2012.05.023
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description: scientific article; zbMATH DE number 6381357