CITATION.cff

cff-version: 1.2.0
title: alpaqa
message: >-
  If alpaqa proves useful in your research, please cite the
  following paper.
type: software
authors:
  - given-names: Pieter
    family-names: Pas
    orcid: 'https://orcid.org/0000-0002-7004-2447'
    affiliation: KU Leuven
  - given-names: Mathijs
    family-names: Schuurmans
    affiliation: KU Leuven
    orcid: 'https://orcid.org/0000-0001-8695-6473'
  - given-names: Alexander
    family-names: Bodard
    affiliation: KU Leuven
    orcid: 'https://orcid.org/0000-0001-7558-8249'
  - given-names: Panagiotis
    family-names: Patrinos
    affiliation: KU Leuven
repository-code: 'https://github.com/kul-optec/alpaqa'
url: 'https://kul-optec.github.io/alpaqa'
repository-artifact: 'https://pypi.org/project/alpaqa/'
keywords:
  - optimization
  - model predictive control
  - augmented lagrangian method
  - panoc
  - proximal algorithms
license: LGPL-3.0
preferred-citation:
  type: conference-paper
  authors:
    - given-names: Pieter
      family-names: Pas
      orcid: 'https://orcid.org/0000-0002-7004-2447'
      affiliation: KU Leuven
    - given-names: Mathijs
      family-names: Schuurmans
      affiliation: KU Leuven
      orcid: 'https://orcid.org/0000-0001-8695-6473'
    - given-names: Panagiotis
      family-names: Patrinos
      affiliation: KU Leuven
  title: >-
    Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex
    optimization
  year: 2022
  collection-title: 2022 European Control Conference (ECC)
  conference:
    name: 2022 European Control Conference (ECC)
    city: London
    country: UK
    date-start: 2022-07-12
    date-end: 2022-07-15
  start: 417
  end: 422
  doi: 10.23919/ECC55457.2022.9838172
  url: 'https://arxiv.org/abs/2112.02370'