Citing
======

If you use cashocs for your research, please cite the following papers

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    .. tab-item:: Plain Text

        .. code-block:: text

            cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software
            Sebastian Blauth
            SoftwareX, Volume 13, 2021
            https://doi.org/10.1016/j.softx.2020.100646
      
    .. tab-item:: BibTeX
   
        .. code-block:: bibtex
	     
            @Article{Blauth2021cashocs,
              author   = {Sebastian Blauth},
              journal  = {SoftwareX},
              title    = {{cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software}},
              year     = {2021},
              issn     = {2352-7110},
              pages    = {100646},
              volume   = {13},
              doi      = {10.1016/j.softx.2020.100646},
              keywords = {PDE constrained optimization, Adjoint approach, Shape optimization, Optimal control},
            }

as well as

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            Version 2.0 - cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software
            Sebastian Blauth
            SoftwareX, Volume 24, 2023
            https://doi.org/10.1016/j.softx.2023.101577
         
    .. tab-item:: BibTeX
   
        .. code-block:: bibtex
      
            @Article{Blauth2023Version,
              author   = {Sebastian Blauth},
              journal  = {SoftwareX},
              title    = {{Version 2.0 - cashocs: A Computational, Adjoint-Based Shape Optimization and Optimal Control Software}},
              year     = {2023},
              issn     = {2352-7110},
              pages    = {101577},
              volume   = {24},
              doi      = {10.1016/j.softx.2023.101577},
              keywords = {PDE constrained optimization, Shape optimization, Topology optimization, Space mapping},
            }


Additionally, if you are using the nonlinear conjugate gradient methods for shape optimization implemented in cashocs, please cite the following paper

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            Nonlinear Conjugate Gradient Methods for PDE Constrained Shape Optimization Based on Steklov--Poincaré-Type Metrics
            Sebastian Blauth
            SIAM Journal on Optimization, Volume 31, Issue 3, 2021
            https://doi.org/10.1137/20M1367738
   
    .. tab-item:: BibTeX
   
        .. code-block:: BibTeX
      
            @Article{Blauth2021Nonlinear,
              author   = {Sebastian Blauth},
              journal  = {SIAM J. Optim.},
              title    = {{Nonlinear Conjugate Gradient Methods for PDE Constrained Shape Optimization Based on Steklov-Poincaré-Type Metrics}},
              year     = {2021},
              number   = {3},
              pages    = {1658--1689},
              volume   = {31},
              doi      = {10.1137/20M1367738},
              fjournal = {SIAM Journal on Optimization},
            }



If you are using the space mapping methods for shape optimization, please cite the paper

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            Space Mapping for PDE Constrained Shape Optimization
            Sebastian Blauth
            SIAM Journal on Optimization, Volume 33, Issue 3, 2023
            https://doi.org/10.1137/22M1515665
         
    .. tab-item:: BibTeX
   
        .. code-block:: bibtex
      
            @Article{Blauth2023Space,
              author   = {Blauth, Sebastian},
              journal  = {SIAM J. Optim.},
              title    = {{Space Mapping for PDE Constrained Shape Optimization}},
              year     = {2023},
              issn     = {1052-6234,1095-7189},
              number   = {3},
              pages    = {1707--1733},
              volume   = {33},
              doi      = {10.1137/22M1515665},
              fjournal = {SIAM Journal on Optimization},
              mrclass  = {49Q10 (35Q93 49M41 65K05)},
              mrnumber = {4622415},
            }



and if you are using the topology optimization methods implemented in cashocs, please cite the paper

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            Quasi-Newton Methods for Topology Optimization Using a Level-Set Method
            Sebastian Blauth and Kevin Sturm
            Structural and Multidisciplinary Optimization, Volume 66, 2023
            https://doi.org/10.1007/s00158-023-03653-2

    .. tab-item:: BibTeX

        .. code-block:: bibtex

            @Article{Blauth2023Quasi,
              author   = {Blauth, Sebastian and Sturm, Kevin},
              journal  = {Struct. Multidiscip. Optim.},
              title    = {{Quasi-Newton methods for topology optimization using a level-set method}},
              year     = {2023},
              issn     = {1615-147X,1615-1488},
              number   = {9},
              pages    = {203},
              volume   = {66},
              doi      = {10.1007/s00158-023-03653-2},
              fjournal = {Structural and Multidisciplinary Optimization},
              mrclass  = {99-06},
              mrnumber = {4635978},
            }