. .

Journal papers (peer review)

  • M. Heinkenschloss, D. Jando: Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls, SIAM Journal on Scientific Computing, accepted, 2017.

  • D. Jando: Efficient goal-oriented global error estimators for BDF methods using discrete adjoints, Journal of Computational and Applied Mathematics, 316, pp. 195-212, 2017, http://dx.doi.org/10.1016/j.cam.2016.09.032

  • D. Beigel, M.S. Mommer, L. Wirsching, H.G. Bock: Approximation of weak adjoints by reverse automatic differentiation of BDF methods (link). Numerische Mathematik, 126(3), pp. 383-412, 2014, doi: 10.1007/s00211-013-0570-4.

Book contribution (peer review)

  • M. Heinkenschloss, D. Jando: Sequential Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls. In: Keiper et al. (eds.), Reduced-Order Modeling for Simulation and Optimization, Springer, accepted 2017.

  • J. Albersmeyer, D. Beigel, C. Kirches, L. Wirsching, H.G. Bock, J.P. Schlöder: Fast Nonlinear Model-Predictive Control with an Application in Automotive Engineering. In: L. Magni et al. (eds.), Nonlinear Model Predictive Control, Lecture Notes in Control and Information Sciences 384, pp. 471-480, Springer Verlag, 2009.

Theses

  • D. Beigel: Efficient goal-oriented global error estimation for BDF-type methods using discrete adjoints (link). Dissertation, Heidelberg University, 2012.

  • D. Beigel: Primal-Dual Interior-Point Methods for Nonlinear Nonconvex Optimization with Application to Optimal Shape Design. Diploma thesis, Darmstadt University of Technology, 2007.

Miscellaneous

  • D. Jando: Reduced order modeling for time-dependent optimization problems with initial value controls & goal-oriented global error estimation for BDF methods, Oberwolfach Report no. 4, in print, 2017.

  • D. Beigel, S. Körkel, A. Milde: Report HCO Workshop Industrial Optimization, 2014.



Selected talks

  • Reduced Order Modeling for Time-Dependent Optimal Control Problems with Variable Initial Values, Darmstadt University of Technology, November 2017 (invited).

  • Organization of Mini-Symposium "Model order reduction in PDE-constrained optimization" (with S. Banholzer, S. Volkwein), French-German-Italian Conference on Optimization, Paderborn, September 2017.

    Talk: Reduced Order Modeling for Time-Dependent Optimal Control Problems with Variable Initial Values.

  • Reduced Order Modeling for Time-Dependent Optimal Control Problems with Variable Initial Values, University of Konstanz, May 2017 (invited).

  • Organization of Mini-Symposium "Time Domain Decomposition for PDE-Constrained Optimization" with M. Heinkenschloss, SIAM CSE 2017 (February 27- March 3), Atlanta, USA.

    Talk: Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls.

  • Reduced Order Modeling for Time-Dependent Optimization Problems with Initial Value Controls (link). Invited talk, Colloquium at the Department of Computational and Applied Mathematics (CAAM), Rice University, Houston (USA), February 20, 2017.

  • Reduced order modeling for time-dependent optimization problems with initial value controls. Invited to the Mini-Workshop "Adaptive Methods for Control Problems Constrained by Time-Dependent PDEs", Mathematisches Forschungsinstitut Oberwolfach (MFO), January 2017.

  • Efficient goal-oriented global error estimation for BDF-type methods. Invited talk in mini symposium, Numerical Solution of Differential and Differential-Algebraic Equations, September 7-11, 2015, Halle (Saale).

  • Goal-oriented global error estimation for BDF methods using discrete adjoints. Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), March 10-14, 2014, Erlangen.

  • Goal-oriented global error estimation for BDF methods using discrete adjoints. Multiple Shooting and Time Domain Decomposition Methods Workshop (MuS-TDD), May 6-8, 2013, Heidelberg.

  • Approximation of weak adjoints by reverse AD of BDF methods: Theory and application to global error estimation and optimal control. Invited talk, VIRTUHCON at TU Bergakademie Freiberg, April 4, 2013, Freiberg.

  • Goal-oriented global error estimation for BDF methods using discrete adjoints. Workshop on Numerical Methods for Optimal Control and Inverse Problems (OCIP 2013), March 11 - 13, 2013, TU München.

  • Global error techniques for multistep integration schemes in optimal control problems. 15th Austrian-French-German conference on Optimization, September 19-23, 2011, Toulouse, Frankreich.

  • Adjoint-Based Global Error Techniques for Integration in Optimal Control Problems. SIAM Conference on Optimization, May 16-19, 2011, Darmstadt.

  • A Petrov-Galerkin formulation of BDF methods and their discrete adjoints. Workshop on Numerical Methods for Optimal Control and Inverse Problems (OCIP 2011), March 14 - 16, 2011, TU München.

  • A closer look at numerical differentiation of BDF methods. Abschiedskolloquium des IGK Complex Processes, Heidelberg, 01/2010
  • Balancing Efficiency and Accuracy in the Solution of Optimal Control Problems. 4th International Conference on High Performance Scientific Computing (HPSC 09), March 2-6, 2009, Hanoi, Vietnam.