Coupled DAE Problems

A circuit (DAE model) coupled to a magnetostatic field device (PDE model)
Coupled Problems of differential-algebraic equations (DAEs) arise typically from either multiphysical modeling (e.g. in circuit simulation with heating) or from refined modeling, where crucial parts of the original problem are replaced by a better, but computational more expensive model (e.g. circuits refined by field models). Furthermore splitting methods may turn a monolithic DAE problem into coupled subproblems, e.g. because of different time scales (multirate). In any case the DAEs arise from network approaches or space-discretization of PDAEs (Partial Differential Algebraic Equations).
Often the coupled equations have quite different properties, i.e., symmetries, definiteness or time scales. Thus the coupled system must be analyzed (e.g. the index) and tailored methods have to be developed (e.g. dynamic iteration).
Details
Publications
- 2021
4639.
Kühn, Jan; Bartel, Andreas; Putek, Piotr
A hysteresis loss model for Tellinen’s scalar hysteresis model
In van Beurden, Martijn and Budko, Neil and Schilders, Wil, Editor, Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The Netherlands, February 2020ausMathematics in Industry, Seite 241–250
In van Beurden, Martijn and Budko, Neil and Schilders, Wil, Editor
Herausgeber: Springer Cham
20214638.
Kühn, Jan; Bartel, Andreas; Putek, Piotr
A Hysteresis Loss Model for Tellinen’s Scalar Hysteresis Model
Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The Netherlands, February 2020
Seite 241--250
Herausgeber: Springer International Publishing Cham
2021
241--2504637.
Schnepper, Teresa; Klamroth, Kathrin; Puerto, Justo; Stiglmayr, Michael
A Local Analysis to Determine All Optimal Solutions of p-k-max Location Problems on Networks
Discrete Applied Mathematics, 296 :217-234
20214636.
Kapllani, Lorenc; Teng, Long; Ehrhardt, Matthias
A multistep scheme to solve backward stochastic differential equations for option pricing on GPUs
In Dimov, Ivan and Fidanova, Stefka, Editor, Advances in High Performance Computing: Results of the International Conference on “High Performance Computing” Borovets, Bulgaria, 2019, Seite 196–208
In Dimov, Ivan and Fidanova, Stefka, Editor
Herausgeber: Springer Cham
20214635.
Kapllani, Lorenc; Teng, Long; Ehrhardt, Matthias
A multistep scheme to solve backward stochastic differential equations for option pricing on GPUs
In Dimov, Ivan and Fidanova, Stefka, Editor, Advances in High Performance Computing: Results of the International Conference on “High Performance Computing” Borovets, Bulgaria, 2019, Seite 196–208
In Dimov, Ivan and Fidanova, Stefka, Editor
Herausgeber: Springer Cham
20214634.
Kapllani, Lorenc; Teng, Long; Ehrhardt, Matthias
A multistep scheme to solve backward stochastic differential equations for option pricing on gpus
, Advances in High Performance Computing: Results of the International Conference on “High Performance Computing” Borovets, Bulgaria, 2019Band902, Seite 196--208
Springer International Publishing
20214633.
Klass, Friedemann; Gabbana, Alessandro; Bartel, Andreas
A non-equilibrium bounce-back boundary condition for thermal multispeed LBM
Journal of Computational Science, 53 :101364
2021
Herausgeber: Elsevier4632.
Klass, Friedemann; Gabbana, Alessandro; Bartel, Andreas
A non-equilibrium bounce-back boundary condition for thermal multispeed LBM
J. Comput. Sci., 53 :101364
2021
Herausgeber: Elsevier {BV}4631.
4630.
Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
A parallel sparse grid combination technique using the Parareal Algorithm
Preprint IMACM
2021
Herausgeber: Bergische Universität Wuppertal4629.
Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
A parallel sparse grid combination technique using the Parareal Algorithm
Preprint IMACM
2021
Herausgeber: Bergische Universität Wuppertal4628.
Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
A parallel sparse grid combination technique using the Parareal Algorithm
Preprint IMACM
2021
Herausgeber: Bergische Universität Wuppertal4627.
Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
A parallel Sparse Grid Combination Technique using the Parareal Algorithm
20214626.
Teng, Long
A review of tree-based approaches to solve forward-backward stochastic differential equations
Journal of Computational Finance, 25 (3) :125–159
2021
Herausgeber: Incisive Media4625.
Teng, Long
A review of tree-based approaches to solve forward-backward stochastic differential equations
JCF, 25 (3) :125--159
20214624.
Caracas, Ioana Alexandra; others
A tau scenario application to a search for upward-going showers with the Fluorescence Detector of the Pierre Auger Observatory
PoS, ICRC2021 :1145
20214623.
Kühn, Jan; Bartel, Andreas; Putek, Piotr
A thermal extension and loss model for Tellinen’s hysteresis model
COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, 40 (2) :126–141
2021
Herausgeber: Emerald Group Publishing4622.
Kühn, Jan; Bartel, Andreas; Putek, Piotr
A thermal extension and loss model for Tellinen’s hysteresis model
COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, 40 (2) :126--141
2021
Herausgeber: Emerald Publishing Limited4621.
Clemens, Markus; Kasolis, Fotios; Henkel, M-L; Kähne, B; Günther, Michael
A two-step Darwin model time-domain formulation for quasi-static electromagnetic field calculations
IEEE Transactions on Magnetics, 57 (6) :1--4
2021
Herausgeber: IEEE4620.
Clemens, Markus; Kasolis, Fotios; Henkel, M-L; Kähne, B; Günther, Michael
A two-step Darwin model time-domain formulation for quasi-static electromagnetic field calculations
IEEE Transactions on Magnetics, 57 (6) :1–4
2021
Herausgeber: IEEE4619.
Clemens, Markus; Kasolis, Fotios; Henkel, M-L; Kähne, B; Günther, Michael
A two-step Darwin model time-domain formulation for quasi-static electromagnetic field calculations
IEEE Transactions on Magnetics, 57 (6) :1–4
2021
Herausgeber: IEEE4618.
Janssen, N.; Gesell, H.; Gutt, R.; Janoske, U.
Adaption of the Aluminium Electrolysis to Volatile Power Supply: Development of a Predictive Model to Investigate the Thermal Behavior of a Cell
presented at NAFEMS World Congress 2022
Oktober 20214617.
Hahne, J.; Friedhoff, S.; Bolten, M.
Algorithm 1016: PyMGRIT: a Python package for the parallel-in-time method MGRIT
ACM Trans. Math. Software, 47 (2) :Art. 19, 22
20214616.
Hahne, J.; Friedhoff, S.; Bolten, Matthias
Algorithm 1016: PyMGRIT: a Python package for the parallel-in-time method MGRIT
ACM Trans. Math. Software, 47 (2) :Art. 19, 22
20214615.
Hahne, J.; Friedhoff, S.; Bolten, M.
Algorithm 1016: PyMGRIT: a Python package for the parallel-in-time method MGRIT
ACM Trans. Math. Software, 47 (2) :Art. 19, 22
2021