Applied and Computational Mathematics (ACM)

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

4665.

Teng, Long
A review of tree-based approaches to solve forward-backward stochastic differential equations
JCF, 25 (3) :125--159
2021

4664.

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
2021

4663.

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 Publishing

4662.

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 Limited

4661.

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: IEEE

4660.

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: IEEE

4659.

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: IEEE

4658.

Grogorick, Linda; Lamprecht, Jens
AC:DC – Agile and Collaborative Digital Classroom
HMD - Praxis der Wirtschaftsinformatik, 58 :858–869
2021

4657.

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 2021

4656.

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

4655.

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
2021

4654.

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

4653.

Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
An ADI Sparse Grid method for pricing efficiently American options under the Heston model
Advances in Applied Mathematics and Mechanics, 13 (6) :1384–1397
2021
Herausgeber: Global Science Press

4652.

Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
An ADI Sparse Grid method for pricing efficiently American options under the Heston model
Advances in Applied Mathematics and Mechanics, 13 (6) :1384–1397
2021
Herausgeber: Global Science Press

4651.

Clevenhaus, Anna; Ehrhardt, Matthias; Günther, Michael
An ADI Sparse Grid method for pricing efficiently American options under the Heston model
Advances in Applied Mathematics and Mechanics, 13 (6) :1384–1397
2021
Herausgeber: Global Science Press

4650.


An ADI Sparse Grid method for Pricing Efficiently American Options under the Heston Model
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 13 (6) :1384--1397
2021
Herausgeber: GLOBAL SCIENCE PRESS Office B, 9/F, Kings Wing Plaza2, No. 1 On Kwan St~…
ISSN: 2075-1354

4649.

Treibert, Sarah; Ehrhardt, Matthias
An Unsupervised Physics-Informed Neural Network to Model COVID-19 Infection and Hospitalization Scenarios
2021

4648.

Frommer, Andreas; Schimmel, Claudia; Schweitzer, Marcel
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions
SIAM J. Matrix Anal. Appl., 42 (3) :1290-1318
2021

4647.

Frommer, Andreas; Schimmel, Claudia; Schweitzer, Marcel
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions
SIAM J. Matrix Anal. Appl., 42 (3) :1290-1318
2021

4646.

Frommer, Andreas; Schimmel, Claudia; Schweitzer, Marcel
Analysis of probing techniques for sparse approximation and trace estimation of decaying matrix functions
SIAM J. Matrix Anal. Appl., 42 (3) :1290-1318
2021

4645.

Braschke, Kamil; Zoller, Julian; Zargaran, Amin; Dittler, Achim; Janoske, Uwe
Analytical and numerical calculation of the detachment of particle structures from fibers
Aerosol Science and Technology :1--11
September 2021
Herausgeber: Informa {UK} Limited

4644.

Muniz, Michelle; Ehrhardt, Matthias; Günther, Michael
Approximating correlation matrices using stochastic Lie group methods
Mathematics, 9 (1) :94
2021
Herausgeber: MDPI

4643.

Muniz, Michelle; Ehrhardt, Matthias; Günther, Michael
Approximating correlation matrices using stochastic Lie group methods
Mathematics, 9 (1) :94
2021
Herausgeber: MDPI

4642.

Muniz, Michelle; Ehrhardt, Matthias; Günther, Michael
Approximating correlation matrices using stochastic Lie group methods
Mathematics, 9 (1) :94
2021
Herausgeber: MDPI

4641.

Muniz, Michelle; Ehrhardt, Matthias; Günther, Michael
Approximating Correlation Matrices Using Stochastic Lie Group Methods
Mathematics, 9 (1) :94
Januar 2021
Herausgeber: MDPI AG
ISSN: 2227-7390