On the implementation of automatic differentiation tools
type: Item
instance of: scholarly article
title: On the implementation of automatic differentiation tools
zbMATH Open document ID: 1168.65324
author: Christian H. Bischof
author: Paul D. Hovland
author: Boyana Norris
published in: Higher-Order and Symbolic Computation
publication date: 2009-07-13T00:00:00Z
Mathematics Subject Classification ID: 65D25
Mathematics Subject Classification ID: 68W30
zbMATH DE Number: 5577822
zbMATH Keywords: semantic transformation
zbMATH Keywords: automatic differentiation
zbMATH Keywords: algorithms
zbMATH Keywords: computer program
cites work: ADMIT
cites work: Q4226955
cites work: Q5452362
cites work: Q4860228
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cites work: ADMIT-1
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describes a project that uses: ADMIT
describes a project that uses: ADIFOR
describes a project that uses: WHIRL
describes a project that uses: TAF
describes a project that uses: AD01
describes a project that uses: MXYZPTLK
describes a project that uses: ADOL-C
describes a project that uses: ADIC
describes a project that uses: AMPL
describes a project that uses: ROSE
describes a project that uses: GAMS
describes a project that uses: AceGen
describes a project that uses: Odyssee
describes a project that uses: AUTO_DERIV
describes a project that uses: CppAD
describes a project that uses: FADBAD++
describes a project that uses: ADiMat
describes a project that uses: TAMC
describes a project that uses: SUIF
describes a project that uses: Python
MaRDI profile type: Publication
full work available at URL: s10990-008-9034-4
OpenAlex ID: W1983864872
DOI: 10.1007/S10990-008-9034-4
description: scientific article; zbMATH DE number 5577822