h1

% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Towara:753235,
      author       = {Towara, Markus},
      othercontributors = {Naumann, Uwe and Schröder, Wolfgang},
      title        = {{D}iscrete adjoint optimization with {O}pen{FOAM}},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      reportid     = {RWTH-2019-00475},
      pages        = {1 Online-Ressource (vii, 232 Seiten) : Illustrationen},
      year         = {2018},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2019; Dissertation, RWTH Aachen University, 2018},
      abstract     = {Computer simulations and computer aided design in the past
                      decades have evolved into a valuable instrument, penetrating
                      just about every branch of engineering in industry and
                      academia. More specifically, computational fluid dynamics
                      (CFD) simulations allow to inspect flow phenomena in a
                      variety of applications. As simulation methods evolve,
                      mature, and are adopted by a rising number of users, the
                      demand for methods which not only predict the result of a
                      specific configuration, but can give indications on how to
                      improve the design, increases. This thesis is concerned with
                      the efficient calculation of sensitivity information of CFD
                      algorithms, and their application to numerical optimization.
                      The sensitivities are obtained by applying Algorithmic
                      Differentiation (AD).A specific emphasis of this thesis is
                      placed on the efficient application of adjoint methods,
                      including parallelism, for commonly used CFD finite volume
                      methods (FVM) and their implementation in the open source
                      framework OpenFOAM.},
      cin          = {123120 / 120000},
      ddc          = {004},
      cid          = {$I:(DE-82)123120_20140620$ / $I:(DE-82)120000_20140620$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2019-00475},
      url          = {https://publications.rwth-aachen.de/record/753235},
}