Science Score: 57.0%
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✓codemeta.json file
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✓DOI references
Found 2 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Keywords
Repository
Matrix derivative tests for algorithmic differentiation
Basic Info
- Host: GitHub
- Owner: octoflar
- License: mit
- Language: Fortran
- Default Branch: main
- Homepage: https://octoflar.github.io/m_ad
- Size: 957 KB
Statistics
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md

This code is a collection of matrix derivative tests for forward and reverse mode algorithmic differentiation.
Getting started
Building this software requires CMake and a compiler that implements the Fortran 2008 standard.
To build and run the matrix tests cd into the project root directory and type:
mkdir cmake-build
cd cmake-build
cmake -DCMAKE_BUILD_TYPE=(Release|Debug) ..
make all test
To use a specific Fortran compiler set the FC and CC environment variables, like
export FC=gfortran
export CC=gcc
before you execute the cmake ... command.
Further reading
Giles, M. (2008) "An extended collection of matrix derivative results for forward and reverse mode algorithmic differentiation."
https://people.maths.ox.ac.uk/gilesm/files/NA-08-01.pdf.
Giles, M. (2008) "Collected matrix derivative results for forward and reverse mode algorithmic differentiation."
https://doi.org/10.1007/978-3-540-68942-3_4
Owner
- Name: R. Quast
- Login: octoflar
- Kind: user
- Location: Hamburg, Germany
- Website: https://orcid.org/0000-0002-6857-6503
- Repositories: 1
- Profile: https://github.com/octoflar
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
M_ad - Matrix derivative tests for forward and reverse
mode AD
message: >-
If you use this software, please cite it using these
metadata.
type: software
authors:
- family-names: Quast
given-names: Ralf
orcid: 'https://orcid.org/0000-0002-6857-6503'
repository-code: 'https://github.com/octoflar/m_ad'
url: 'https://octoflar.github.io/m_ad'
abstract: >-
A collection of matrix derivative tests for forward and
reverse mode algorithmic differentiation.
keywords:
- algorithmic differentiation
license: MIT