CITATION.cff

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cff-version: 1.2.0
title: perprof-py
message: Please cite this software using the metadata from 'preferred-citation'.
type: software
authors:
  - given-names: Abel
    family-names: Soares Siqueira
    email: abel.s.siqueira@gmail.com
    affiliation: Netherlands eScience Center
    orcid: 'https://orcid.org/0000-0003-4451-281X'
  - given-names: Raniere Gaia
    family-names: Costa da Silva
    email: raniere.silva@my.cityu.edu.hk
    affiliation: City University of Hong Kong
    orcid: 'https://orcid.org/0000-0002-8381-3749'
  - given-names: Luiz-Rafael
    family-names: Santos
    email: lrsantos11@gmail.com
    affiliation: Universidade Federal de Santa Catarina
    orcid: 'https://orcid.org/0000-0002-0083-5871'
identifiers:
  - type: doi
    value: 10.5281/zenodo.593666
    description: Zenodo concept DOI
repository-code: 'https://github.com/abelsiqueira/perprof-py'
url: 'https://abelsiqueira.github.io/perprof-py'
abstract: >-
  A Python module for performance profiling (as
  described by Dolan and Moré) with TikZ and
  matplotlib output.
keywords:
  - Software Benchmarking
  - Mathematical Optimization
  - Performance Profile
  - Python 3
license: GPL-3.0
preferred-citation:
  authors:
    - given-names: Abel
      family-names: Soares Siqueira
      email: abel.s.siqueira@gmail.com
      affiliation: Netherlands eScience Center
      orcid: 'https://orcid.org/0000-0003-4451-281X'
    - given-names: Raniere Gaia
      family-names: Costa da Silva
      email: raniere.silva@my.cityu.edu.hk
      affiliation: City University of Hong Kong
      orcid: 'https://orcid.org/0000-0002-8381-3749'
    - given-names: Luiz-Rafael
      family-names: Santos
      email: lrsantos11@gmail.com
      affiliation: Universidade Federal de Santa Catarina
      orcid: 'https://orcid.org/0000-0002-0083-5871'
  doi: "10.5334/jors.81"
  journal: "Journal of Open Research Software"
  number: 1
  pages: 12
  title: "Perprof-py: A Python Package for Performance Profile of Mathematical Optimization Software"
  type: article
  volume: 4
  year: 2016