dolfin-adjoint 2018.1

dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake - Published in JOSS (2019)

https://bitbucket.org/dolfin-adjoint/pyadjoint

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 10 months ago · JSON representation

JOSS Publication

dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake
Published
June 18, 2019
Volume 4, Issue 38, Page 1292
Authors
Sebastian K. Mitusch ORCID
Simula Research Laboratory
Simon W. Funke ORCID
Simula Research Laboratory
Jørgen S. Dokken ORCID
Simula Research Laboratory
Editor
Kevin M. Moerman ORCID
Tags
finite element method optimization adjoint gradients partial differential equations