Applied and Computational Mathematics (ACM)

Publikationen Prof. Dr. Michael Günther



2016
C. Hendricks, M. Ehrhardt and M. Günther, "Integrated forecasting of day-ahead prices in the German electricity market" in Progress in Industrial Mathematics at ECMI 2014, Springer Cham, 2016, pp. 333–339.
C. Hachtel, A. Bartel and M. Günther, "Interface reduction for multirate ODE-Solver" in Scientific Computing in Electrical Engineering: SCEE 2014, Wuppertal, Germany, July 2014, Bartel, Andreas and Clemens, Markus and Günther, Michael and ter Maten, E. Jan W., Eds. Springer Cham, 2016, pp. 185–193.
C. Hachtel, M. Günther and A. Bartel, "Model order reduction for multirate ODE-Solvers in a multiphysics application" in Progress in Industrial Mathematics at ECMI 2014, Russo, Giovanni and Capasso, Vincenzo and Nicosia, Giuseppe and Romano, Vittorio, Eds. Springer Cham, 2016, pp. 473–480.
L. Teng, M. Ehrhardt and M. Günther, "Modelling stochastic correlation", Journal of Mathematics in Industry, vol. 6, no. 1, pp. 1–18, 2016. Springer Verlag.
L. Teng, M. Ehrhardt and M. Günther, "Modelling stochastic correlation with modified Ornstein-Uhlenbeck process" in Progress in Industrial Mathematics at ECMI 2014, Springer Cham, 2016, pp. 113–120.
I. Kossaczkỳ, M. Ehrhardt and M. Günther, "Modifications of the PCPT method for HJB equations" in 8th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’16, American Institute of Physics, 2016, pp. 030002.
F. Knechtli, M. Günther and M. Peardon, "Monte Carlo methods" in Lattice Quantum Chromodynamics: Practical Essentials, Springer Netherlands, 2016, pp. 35–53.
M. Günther, C. Hachtel and A. Sandu, "Multirate GARK schemes for multiphysics problems" in Scientific Computing in Electrical Engineering: SCEE 2014, Wuppertal, Germany, July 2014, Bartel, Andreas and Clemens, Markus and Günther, Michael and ter Maten, E. Jan W., Eds. Springer Cham, 2016, pp. 115–121.
M. Günther and A. Sandu, "Multirate generalized additive Runge Kutta methods", Numerische Mathematik, vol. 133, no. 3, pp. 497–524, 2016. Springer New York.
E. J. W. Maten, P. A. Putek, M. Günther, R. Pulch, C. Tischendorf, C. Strohm, W. Schoenmaker, P. Meuris, B. D. Smedt, P. Benner, L. Feng, N. Banagaaya, Y. Yue, R. Janssen, J. J. Dohmen, B. Tasic, F. Deleu, R. Gillon, A. Wieers, H. Brachtendorf, K. Bittner, T. Kratochvíl, J. Petřzela, R. Sotner, T. Götthans, J. Dřínovský, S. Schöps, D. J. D. Guerra, T. Casper, H. D. Gersem, U. Römer, P. Reynier, P. Barroul, D. Masliah and B. Rousseau, "Nanoelectronic COupled problems solutions - nanoCOPS: modelling, multirate, model order reduction, uncertainty quantification, fast fault simulation", Journal of Mathematics in Industry, vol. 7, no. 1, pp. 1–19, 2016. Springer Verlag.
L. Teng, M. Ehrhardt and M. Günther, "On the Heston model with stochastic correlation", International Journal of Theoretical and Applied Finance, vol. 19, no. 06, pp. 1650033, 2016. World Scientific Publishing.
I. Kossaczky, M. Ehrhardt and M. Günther, "On the non-existence of higher order monotone approximation schemes for HJB equations", Applied Mathematics Letters, vol. 52, pp. 53–57, 2016. Pergamon.
I. Kossaczky, M. Ehrhardt and M. Günther, "Piecewise fixed policy timestepping schemes for Hamilton-Jacobi-Bellman equations", Preprint IMACM, 2016. Bergische Universität Wuppertal.
E. J. W. Maten, M. Günther and M. Ehrhardt, "Proper orthogonal decomposition in option pricing: Basket options and Heston model" in Progress in Industrial Mathematics at ECMI 2014, Springer Cham, 2016, pp. 217–227.
F. Knechtli, M. Günther and M. Peardon, "Quantum Field Theory (QFT) on the Lattice" in Lattice Quantum Chromodynamics: Practical Essentials, Springer Netherlands, 2016, pp. 1–34.
P. Putek, K. Gausling, A. Bartel, K. M. Gawrylczyk, R. Pulch and M. Günther, "Robust topology optimization of a permanent magnet synchronous machine using multi-level set and stochastic collocation methods" in Scientific Computing in Electrical Engineering: SCEE 2014, Wuppertal, Germany, July 2014, Bartel, Andreas and Clemens, Markus and Günther, Michael and ter Maten, E. Jan W., Eds. Springer Cham, 2016, pp. 233–242.
Scientific Computing in Electrical Engineering: SCEE 2014, Wuppertal, Germany, July 2014. Springer Cham, 2016.

ISBN: 978-3-319-30398-7

P. Putek, R. Pulch, A. Bartel, E. J. W. Maten, M. Günther and K. M. Gawrylczyk, "Shape and topology optimization of a permanent-magnet machine under uncertainties", Journal of Mathematics in Industry, vol. 6, no. 1, pp. 1–19, 2016. Springer Verlag.
P. Putek, P. Meuris, R. Pulch, E. J. W. Maten, M. Günther, W. Schoenmaker, F. Deleu and A. Wieers, "Shape optimization of a power MOS device under uncertainties" in 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), IEEE, 2016, pp. 319–324.
C. Hachtel, A. Bartel and M. Günther, "Stability and Error Analysis for Coupled Multirate-MOR Methods", Preprint IMACM, 2016. Bergische Universität Wuppertal.
L. Teng, M. Ehrhardt and M. Günther, "The dynamic correlation model and its application to the Heston model" in Innovations in Derivatives Markets: Fixed Income Modeling, Valuation Adjustments, Risk Management, and Regulation, Glau, Kathrin and Grbac, Zorana and Scherer, Matthias and Zags, Rudi, Eds. Springer Cham, 2016, pp. 437–449.
M. Wandelt, F. Knechtli and M. Günther, "The Wilson flow and the finite temperature phase transition", Journal of High Energy Physics, vol. 2016, no. 10, 2016. Springer Verlag.
P. Putek, P. Meuris, R. Pulch, E. J. W. Maten, W. Schoenmaker and M. Günther, "Uncertainty quantification for robust topology optimization of power transistor devices", IEEE Transactions on Magnetics, vol. 52, no. 3, pp. 1–4, 2016. IEEE.
2015
A. Sandu and M. Günther, "A generalized-structure approach to dditive Runge-Kutta methods", SIAM Journal on Numerical Analysis, vol. 53, no. 1, pp. 17–42, 2015. Society for Industrial and Applied Mathematics.
L. Teng, M. Ehrhardt and M. Günther, "A versatile approach for stochastic correlation using hyperbolic functions", International Journal of Computer Mathematics, vol. 93, no. 3, pp. 524–539, 2015. Taylor & Francis.