Professur Wissenschaftliches Rechnen
Wissenschaftliches Rechnen
Professur Wissenschaftliches Rechnen 

Dominik Garmatter

Dr. Dominik Garmatter
Telefon:
0371-531-+49 371 531 36404
Fax:
+49 371 531 22509
Raum:
Reichenhainer Str. 41, Zimmer 628
E-Mail:

Vita

  • since 01.05.2018 Postdoc, TU Chemnitz, Germany
  • 2015-2018 PhD student, Numerics for Partial Differential Equations, Goethe-University Frankfurt, Germany
  • 2013-2015 PhD student, Optimization and Inverse Problems, University of Stuttgart, Germany
  • 2007-2013 Student of Mathematics, University of Stuttgart, Germany
  • Abitur Justinus-Kerner-Gymnasium Heilbronn

Teaching

Publications

Submitted papers Publications in peer-reviewed journals
  • Garmatter, Dominik, et al. Power-to-Chemicals: A Superstructure Problem for Sustainable Syngas Production Mathematical Modeling, Simulation and Optimization for Power Engineering and Management. Springer, Cham, 2021. 145-168. (DOI)
  • Dominik Garmatter, and Bastian Harrach.Magnetic Resonance Electrical Impedance Tomography (MREIT): Convergence and Reduced Basis Approach SIAM J Imaging Sci. 11 (1), 863-887, 2018. (DOI)
  • Dominik Garmatter, Bernard Haasdonk, and Bastian Harrach. A Reduced Basis Landweber method for nonlinear inverse problems Inverse Problems 32 (3), 035001, 2016. (DOI)

Talks

  • An Improved Penalty Algorithm for mixed integer and PDE constrained optimization problems
    2021 SIAM Annual Meeting, Online Congress, July 19 - 23, 2021.
  • Reduced Basis Methods for Inverse Problems
    Online Seminar Talk at the Chang'an University, China, January 28, 2021.
  • Reduced Basis Methods for Magnetic Resonance Electrical Impedance Tomography (MREIT)
    ALGORITHMY 2020, Conference on Scientific Computing, Podbanske, Slovakia, September 10-15, 2020.
  • An Improved Penalty Algorithm for mixed integer and PDE constrained optimization problems
    Optimization and low-rank solvers for discretized PDEs - MIUR-DAAD Project Final Workshop, Bologna, Italy, February 20, 2020.
  • An Improved Penalty Algorithm for mixed integer and PDE constrained optimization problems
    European Numerical Mathematics and Advanced Applications Conference 2019, Egmond aan Zee, Netherlands, September 30 - October 04, 2019.
  • An Improved Penalty Algorithm for mixed integer and PDE constrained optimization problems
    6th International Conference on Continuous Optimization, Berlin, Germany, August 05-08, 2019.
  • Penalty formulations for mixed integer and PDE constrained optimization problems
    90th GAMM Annual Meeting, Vienna, Austria, February 18-22, 2019.
  • Reduced Basis Methods for MREIT
    2018 Joint Meeting of the Korean Mathematical Society and the German Mathematical Society, Seoul, Korea, October 03-06, 2018.
  • Reduced Basis Methods for MREIT
    Chemnitz Symposium on Inverse Problems 2018, Chemnitz, Germany, September 27-28, 2018.
  • Reduced Basis Methods for MREIT
    9th International Conference “Inverse Problems: Modeling and Simulation”, Malta, May 21-25, 2018.
  • Reduced Basis Methods for MREIT
    IMA Conference on Inverse Problems from Theory to Application, Cambridge, UK, September 19-21, 2017.
  • Reduced Basis Methods for Inverse Problems
    Applied Inverse Problems Conference, Hangzhou, China, May 29 - June 02, 2017.
  • Magnet Resonance Electrical Impedance Tomography (MREIT): convergence of the Harmonic B_z Algorithm
    Workshop on Numerical Methods for Optimal Control and Inverse Problems, Technical University of Munich, Germany, April 05-07, 2017.
  • Reduced Basis Methods for Inverse Problems
    SimTech MOR-Seminar, Stuttgart, Germany, February 09, 2017.
  • Reduced basis methods for nonlinear ill-posed inverse problems
    Chemnitz Symposium on Inverse Problems 2016, Chemnitz, Germany, September 22-23, 2016.
  • Reduced Basis Landweber method for nonlinear ill-posed inverse problems
    European Congress on Computational Methods in Applied Sciences and Engineering, Crete, Greece, June 05-10, 2016.
  • Reduced Basis Landweber method for nonlinear ill-posed inverse problems
    Workshop on Numerical Methods for Optimal Control and Inverse Problems, Technical University of Munich, Germany, March 14-16, 2016.
  • The reduced basis method and its application to inverse problems
    Rhein-Main Arbeitskreis Mathematics of Computation, Frankfurt, Germany, February 05, 2016.
  • Reduced Basis Landweber method for nonlinear ill-posed inverse problems
    MoRePaS 2015 - Model Reduction of Parametrized Systems III, Trieste, Italy, October 13-16, 2015.
  • Coupling reduced basis methods and the Landweber method to solve inverse problems
    13th U.S. National Congress on Computational Mechanics, San Diego, California, July 26-30, 2015.
  • Coupling reduced basis methods and the Landweber method to solve inverse problems
    Applied Inverse Problems Conference, University of Helsinki, Finland, May 25-29, 2015.
  • educed Basis Methods for Inverse Problems>
    Reduced Basis Summer School, Münster, Germany, August 18-22, 2014.
  • Reduced Basis Methods for Inverse Problems
    Distinguished Lectures on Inverse Problems, University of Helsinki, Finland, August 04-08, 2014.
  • Reduced Basis Methods for Inverse Problems
    Workshop on Numerical Methods for Optimal Control and Inverse Problems, Technical University of Munich, Germany, March 03-05, 2014.
  • Reduced Basis Methods for Linear Evolution Equations and Inverse Problems
    Reduced Basis Summer School, Kopp, Germany, August 20-23, 2013.
  • A reduced basis method for linear evolution equations
    Workshop on Numerical Methods for Optimal Control and Inverse Problems, Technical University of Munich, Germany, March 11-13, 2013.