Recurrent neural networks for LU decomposition and Cholesky factorization
type: Item
instance of: scholarly article
title: Recurrent neural networks for LU decomposition and Cholesky factorization
zbMATH Open document ID: 0804.90143
DOI: 10.1016/0895-7177(93)90121-E
published in: Mathematical and Computer Modelling
publication date: 1995-01-19T00:00:00Z
Mathematics Subject Classification ID: 90C99
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 90C31
zbMATH DE Number: 571409
zbMATH Keywords: recurrent neural networks
zbMATH Keywords: LU decomposition
zbMATH Keywords: Cholesky factorization
author: Jun Wang
author: Guang Wu
MaRDI profile type: Publication
cites work: The accuracy of a parallel \(LU\) decomposition algorithm
cites work: The average parallel complexity of Cholesky factorization
cites work: Massive memory buys little speed for complete, in-core sparse Cholesky factorizations on some scalar computers
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cites work: Solving simultaneous linear equations using recurrent neural networks
full work available at URL: 0895-7177(93)90121-e
OpenAlex ID: W1968527606
description: scientific article; zbMATH DE number 571409