Automation of nested matrix and derivative operations
type: Item
instance of: scholarly article
title: Automation of nested matrix and derivative operations
zbMATH Open document ID: 0623.65020
DOI: 10.1016/0096-3003(87)90081-6
author: Thomas Plum
author: Leigh Tesfatsion
author: R. E. Kalaba
published in: Applied Mathematics and Computation
publication date: 1987-01-01T00:00:00Z
review text: The authors show that the automatic differentiation of expressions involving nested matrix and derivative operations can be systematically handled by introducing matrix calculus subroutines into the FEED library. These matrix FEED subroutines have been thoroughly tested, and are proved to be a very useful tool of general application.
Mathematics Subject Classification ID: 65D25
Mathematics Subject Classification ID: 65F30
Mathematics Subject Classification ID: 65Yxx
zbMATH DE Number: 4011761
zbMATH Keywords: automatic differentiation
zbMATH Keywords: nested matrix and derivative operations
zbMATH Keywords: matrix calculus subroutines
zbMATH Keywords: FEED library
reviewed by: Antonio López-Carmona
MaRDI profile type: Publication
full work available at URL: 0096-3003(87)90081-6
OpenAlex ID: W2126315965
cites work: A finite algorithm for the exact evaluation of higher order partial derivatives of functions of many variables
cites work: Automatic differentiation of functions of derivatives
cites work: A simple automatic derivative evaluation program
description: scientific article; zbMATH DE number 4011761