Publications

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  • S. Körkel, I. Bauer, H. G. Bock, J. P. Schlöder. A sequential approach for nonlinear optimum experimental design in DAE systems. In F. Keil, W. Mackens, H. Voss, and J. Werther (eds.), Scientific Computing in Chemical Engineering II, Volume 2, Springer Verlag, Berlin, Heidelberg, 1999. (Postscript 74 kB, PDF 144 kB).
  • I. Bauer, H. G. Bock, S. Körkel, J. P. Schlöder. Numerical Methods for Initial Value Problems and Derivative Generation for DAE Models with Application to Optimum Experimental Design of Chemical Processes. In F. Keil, W. Mackens, H. Voss, and J. Werther (eds.), Scientific Computing in Chemical Engineering II, Volume 2, Springer Verlag, Berlin, Heidelberg, 1999. (Postscript 64 kB).
  • I. Bauer, H. G. Bock, S. Körkel, J. P. Schlöder. Numerical Methods for Optimum Experimental Design in DAE Systems. In Journal of Computational and Applied Mathematics 120 (2000) 1-25. (Postscript 145 kB, PDF 248 kB).
  • S. Körkel. Numerische Methoden für Optimale Versuchsplanungsprobleme bei nichtlinearen DAE-Modellen. Doktorarbeit, Universität Heidelberg, Juli 2002. (Postscript 3256 kB, PDF 2630 kB).
  • S. Körkel, E. Kostina, H. G. Bock, J. P. Schlöder. Numerical Methods for Optimal Control Problems in Design of Robust Optimal Experiments for Nonlinear Dynamic Processes. Optimization Methods and Software (OMS) Journal, Volume 19, Numbers 3-4, pp. 327-338, June-August, 2004. (Postscript 170 kB, PDF 171 kB).
  • H. G. Bock, S. Körkel, E. Kostina, J. P. Schlöder. Methods for Design of Optimal Experiments with Application to Parameter Estimation in Enzyme Catalytic Processes. In M. G. Hicks and C. Kettner (eds.), Experimental Standard Conditions of Enzyme Characterization, Logos Verlag Berlin, 2004, pp. 45-70. (Postscript 146 kB).
  • S. Körkel, E. Kostina. Numerical Methods for Nonlinear Experimental Design. In H. G. Bock, E. Kostina, H. X. Phu and R. Rannacher (eds.), Modelling, Simulation and Optimization of Complex Processes, Proceedings of the International Conference on High Performance Scientific Computing, March 10-14, 2003, Hanoi, Vietnam, Springer, 2004, pp. 255-272. (Postscript 1592 kB, PDF 262 kB).
  • S. Körkel, H. Qu, G. Rücker, S. Sager. Derivative Based vs. Derivative Free Optimization Methods for Nonlinear Optimum Experimental Design. In Z. Chen, R. Glowinski, W. Tong, and W. Zhang (eds.), High Performance Computing and Applications, Lecture Notes in Computational Mathematics, Springer, 2005, pp. 339-345. (Postscript 110 kB, PDF 89 kB).
  • H. G. Bock, S. Körkel, E. Kostina, J. P. Schlöder. Robustness Aspects in Parameter Estimation, Optimal Design of Experiments and Optimal Control. In W. Jäger, R. Rannacher and J. Warnatz (eds.), Reactive Flows, Diffusion and Transport, Springer, 2007, pp. 117-146. (PDF 225 kB).
  • H. Arellano-Garcia, J. Schöneberger, S. Körkel. Optimale Versuchsplanung in der chemischen Verfahrenstechnik. Chemie Ingenieur Technik (CIT), Volume 79, Number 10, pp. 1625-1638, 2007. (PDF 776 kB).
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