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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "Uno" in publications use:'
type: software
license: MIT
title: 'Uno: R Interface to the ''Uno'' Nonlinear Optimization Solver'
version: 2.7.3-1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.Uno
abstract: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth
  nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including
  sequential quadratic programming and interior-point methods, by decomposing them
  into interacting building blocks (constraint-relaxation, inequality-handling, Hessian,
  and globalization strategies) that can be freely combined, either through options
  or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'.
  The framework is described in Vanaret and Leyffer (2024) <https://doi.org/10.48550/arXiv.2406.13454>.
authors:
- family-names: Narasimhan
  given-names: Balasubramanian
  email: naras@stanford.edu
- family-names: Vanaret
  given-names: Charlie
- family-names: Leyffer
  given-names: Sven
preferred-citation:
  type: manual
  title: 'Uno: R Interface to the Uno Nonlinear Optimization Solver'
  authors:
  - family-names: Narasimhan
    given-names: Balasubramanian
    email: naras@stanford.edu
  - family-names: Vanaret
    given-names: Charlie
  - family-names: Leyffer
    given-names: Sven
  year: '2026'
  notes: R package version 2.7.3-1
  url: https://github.com/bnaras/Uno
repository: https://bnaras.r-universe.dev
repository-code: https://github.com/bnaras/Uno
commit: 9b92e8f2d8fdc85a42f23d1d9b8f35af3ef8026d
url: https://bnaras.github.io/Uno/
date-released: '2026-06-09'
contact:
- family-names: Narasimhan
  given-names: Balasubramanian
  email: naras@stanford.edu
references:
- type: generic
  title: Implementing a unified solver for nonlinearly constrained optimization
  authors:
  - family-names: Vanaret
    given-names: Charlie
  - family-names: Leyffer
    given-names: Sven
  year: '2024'
  doi: 10.48550/arXiv.2406.13454