An extended collection of matrix derivative results for forward and reverse mode automatic differentiation

This paper collects together a number of matrix derivative results which are very useful in forward and reverse mode algorithmic differentiation (AD). It highlights in particular the remarkable contribution of a 1948 paper by Dwyer and Macphail which derives the linear and adjoint sensitivities of a...

Full description

Bibliographic Details
Main Author: Giles, M
Format: Report
Published: Unspecified 2008
_version_ 1826284255232131072
author Giles, M
author_facet Giles, M
author_sort Giles, M
collection OXFORD
description This paper collects together a number of matrix derivative results which are very useful in forward and reverse mode algorithmic differentiation (AD). It highlights in particular the remarkable contribution of a 1948 paper by Dwyer and Macphail which derives the linear and adjoint sensitivities of a matrix product, inverse and determinant, and a number of related results motivated by applications in multivariate analysis in statistics. This is an extended version of a paper which will appear in the proceedings of AD2008, the 5th International Conference on Automatic Differentiation.
first_indexed 2024-03-07T01:11:08Z
format Report
id oxford-uuid:8d0c0a29-c92b-4153-a1d2-38b276e93124
institution University of Oxford
last_indexed 2024-03-07T01:11:08Z
publishDate 2008
publisher Unspecified
record_format dspace
spelling oxford-uuid:8d0c0a29-c92b-4153-a1d2-38b276e931242022-03-26T22:48:43ZAn extended collection of matrix derivative results for forward and reverse mode automatic differentiationReporthttp://purl.org/coar/resource_type/c_93fcuuid:8d0c0a29-c92b-4153-a1d2-38b276e93124Mathematical Institute - ePrintsUnspecified2008Giles, MThis paper collects together a number of matrix derivative results which are very useful in forward and reverse mode algorithmic differentiation (AD). It highlights in particular the remarkable contribution of a 1948 paper by Dwyer and Macphail which derives the linear and adjoint sensitivities of a matrix product, inverse and determinant, and a number of related results motivated by applications in multivariate analysis in statistics. This is an extended version of a paper which will appear in the proceedings of AD2008, the 5th International Conference on Automatic Differentiation.
spellingShingle Giles, M
An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title_full An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title_fullStr An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title_full_unstemmed An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title_short An extended collection of matrix derivative results for forward and reverse mode automatic differentiation
title_sort extended collection of matrix derivative results for forward and reverse mode automatic differentiation
work_keys_str_mv AT gilesm anextendedcollectionofmatrixderivativeresultsforforwardandreversemodeautomaticdifferentiation
AT gilesm extendedcollectionofmatrixderivativeresultsforforwardandreversemodeautomaticdifferentiation