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



2019

4191.

Steppert, Ann-Kathrin; Mikosch, Annabel; Haraszti, Tamás; Göstl, Robert; Kuehne, Alexander J. C.
Reversible Laser Threshold Modulation in Dithienylethene Conjugated Polymer Blends: A Concept for q-Switching in Organic DFB Lasers
ACS Photonics, 6 (2) :558--564
February 2019

4190.

Fernández-Castaño Romera, Marcos; Göstl, Robert; Shaikh, Huda; Huurne, Gijs; Schill, Jurgen; Voets, Ilja K.; Storm, Cornelis; Sijbesma, Rint P.
Mimicking Active Biopolymer Networks with a Synthetic Hydrogel
Journal of the American Chemical Society, 141 (5) :1989--1997
February 2019
ISSN: 0002-7863

4189.

[german] Zückert, Rebecca; Bohrmann-Linde, Claudia
Experimente zur Brennstoffzelle als zentrales Thema nachhaltiger Entwicklung
Volume 39 from Tagungsband der Gesellschaft für Didaktik der Chemie und Physik
Chapter Naturwissenschaftliche Bildung als Grundlage für berufliche und gesellschaftliche Teilhabe, Page 667-670
Publisher: Christian Maurer, Gesellschaft für Didaktik der Chemie und Physik (GDCP), Regensburg
February 2019
667-670

4188.

Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie Baden-Würtemberg 8-10
Publisher: C.C.Buchner
2019

4187.

Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie 3 (Baden-Würtemberg)
Publisher: C.C.Buchner
2019

4186.

Bohrmann-Linde, Claudia; Krüger, J.; Schneiderhahn, K.
Chemie 2 (Baden-Württemberg)
Publisher: C.C.Buchner, Bamberg
2019

4185.

Holzschneider, Kristina; Häring, Andreas P.; Kirsch, Stefan F.
2,2-Diazido-1,2-diarylethanones: Synthesis and Reactivity with Primary Amines
European Journal of Organic Chemistry, 2019 (17) :2824–2831
2019
ISSN: 1099-0690

4184.

Haack, Alexander; Crouse, Jeff; Schlüter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
2019

4183.

Haack, Alexander; Crouse, Jeff; Schl{ü}ter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
2019

4182.

Haack, Alexander; Crouse, Jeff; Schl{ü}ter, Femke-Jutta; Benter, Thorsten; Hopkins, W. Scott
A First Principle Model of Differential Ion Mobility: the Effect of Ion-Solvent Clustering
Journal of The American Society for Mass Spectrometry, 30 (12) :2711-2725
2019

4181.

Glück, Jochen
A short note on band projections in partially ordered vector spaces
Indag. Math. (N.S.), 30 (1) :1--6
2019

4180.

Przybylski, Anthony; Klamroth, Kathrin; Lacour, Renaud
A simple and efficient dichotomic search algorithm for multi-objective mixed integer linear programs
Document Number: 1911.08937
arXiv
2019

4179.

Holzschneider, Kristina; Tong, My Linh; Mohr, Fabian; Kirsch, Stefan F.
A Synthetic Route Toward Tetrazoles: The Thermolysis of Geminal Diazides
Chemistry – A European Journal, 25 (50) :11725–11733
2019
ISSN: 1521-3765

4178.

Fackler, Stephan; Glück, Jochen
A toolkit for constructing dilations on Banach spaces
Proc. Lond. Math. Soc. (3), 118 (2) :416--440
2019

4177.

Ankirchner, Stefan; Klein, Maike; Kruse, Thomas
A verification theorem for optimal stopping problems with expectation constraints
Applied Mathematics & Optimization, 79 (1) :145--177
2019
Publisher: Springer US

4176.

Ankirchner, Stefan; Klein, Maike; Kruse, Thomas
A verification theorem for optimal stopping problems with expectation constraints
Applied Mathematics & Optimization, 79 :145–177
2019
Publisher: Springer New York

4175.

Teng, Long; Clevenhaus, Anna
Accelerated implementation of the ADI schemes for the Heston model with stochastic correlation
JCS, 36 :101022
2019
ISSN: 1877-7503

4174.

Teng, Long; Clevenhaus, Anna
Accelerated implementation of the ADI schemes for the Heston model with stochastic correlation
Journal of Computational Science, 36 :101022
2019
Publisher: Elsevier

4173.

Gillon, Renaud; Wieers, Aarnout; Deleu, Frederik; Götthans, Tomáš; Janssen, Rick; Schoenmaker, Wim; Maten, E. Jan W.
Ageing models and reliability prediction
In ter Maten, E. Jan W. and Brachtendorf, Hans-Georg and Pulch, Roland and Schoenmaker, Wim and De Gersem, Herbert, Editor from Mathematics in Industry
Page 425–455
Publisher: Springer Cham
2019
425–455

4172.

Zaspel, Peter
Algorithmic Patterns for H-Matrices on Many-Core Processors
J. Sci. Comput., 78 (2) :1174-1206
2019

4171.

Kruse, Thomas; Strack, Philipp
An inverse optimal stopping problem for diffusion processes
Mathematics of Operations Research, 44 (2) :423--439
2019
Publisher: INFORMS

4170.

Kruse, Thomas; Strack, Philipp
An inverse optimal stopping problem for diffusion processes
Mathematics of Operations Research, 44 (2) :423–439
2019
Publisher: INFORMS

4169.

Bolten, Matthias; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
2019

4168.

Bolten, M.; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
2019

4167.

Bolten, M.; Hahne, J.
An SDE-waveform relaxation method with application in distributed neural network simulations
PAMM, 19 :e201900373
2019