Multirate

Highly integrated electric cicuits show a phenomenon called latency. That is, a processed signal causes activity only in a small subset of the whole circuit (imagine a central processing unit), whereas the other part of the system behaves almost constant over some time - is latent. Such an electric system can be described as coupled system, where the waveforms show different time scales, also refered to as multirate.
More generally, any coupled problem formulation due to coupled physical effects, may cause a multirate problem: image the simulation of car driving on the road, there you need a model for the wheel, the chassis, the dampers, the road,... (cf. co-simulation). Again each system is covered by their own time constant, which might vary over several orders of magnitude comparing different subsystems.
Classical methods cannot exploit this multirate potential, but resolve everything on the finest scale. This causes an over sampling of the latent components. In constrast, Co-simulation or especially dedicated multirate methods are designed to use the inherent step size to resolve the time-domain behaviour of each subystem with the required accuracy. This requires a time-stepping for each.
Group members working in that field
- Andreas Bartel
- Michael Günther
Former and ongoing Projects
- CoMSON
- ICESTARS
- 03GUNAVN
Cooperations
- Herbert de Gersem, K.U. Leuven, Belgium
- Jan ter Maten, TU Eindhoven and NXP, the Netherlands
Publications
- 2022
4842.
Edeko, Nikolai; Kreidler, Henrik
Distal systems in topological dynamics and ergodic theory
20224841.
Lugo, Pedro L.; Straccia, V.G.; Rivela, Cynthia B.; Patroescu-Klotz, Iulia; Illmann, Niklas; Teruel, Mariano A.; Wiesen, Peter; Blanco, María B.
Diurnal photodegradation of fluorinated diketones (FDKs) by OH radicals using different atmospheric simulation chambers: Role of keto-enol tautomerization on reactivity
Chemosphere, 286 :131562
January 2022
ISSN: 004565354840.
Rohde, Martin; Barwari, Beawer; Burgmann, Sebastian; Janoske, Uwe
Droplet motion induced by superposition of shear flow and horizontal surface vibration
International Journal of Multiphase Flow, 155 :104163
2022
Publisher: Pergamon4839.
McWalter, Thomas A; Kienitz, Jörg; Nowaczyk, Nikolai; Rudd, Ralph; Acar, Sarp K.
Dynamic initial margin estimation based on quantiles of Johnson distributions
Journal of Credit Risk, 18 :93–116
2022
Publisher: Incisive Media4838.
Kienitz, Jörg; Lee, Gordon; Nowaczyk, Nikolai; Geng, N.
Dynamically controlled kernel estimation
Risk Cutting Edge, 1
2022
Publisher: Incisive Media4837.
Kienitz, J.; Lee, G.; Nowaczyk, N.; Geng, N.
Dynamically Controlled Kernel Estimation
RISK, 1
20224836.
Felpel, Mike; Kienitz, Jörg; McWalter, Thomas
Effective Markovian projection: Application to CMS spread options and mid-curve swaptions
Quantitative Finance, 22 (6) :1169–1192
2022
Publisher: Routledge4835.
Felpel, M.; Kienitz, J.; McWalter, T. A.
Effective Markovian projection: application to CMS spread options and mid-curve swaptions
Quantitative Finance, 22 (6) :1169-1192
2022
Publisher: Routledge4834.
Reiners, Malena; Klamroth, Kathrin; Heldmann, Fabian; Stiglmayr, Michael
Efficient and sparse neural networks by pruning weights in a multiobjective learning approach
Computers & Operations Research :105676
20224833.
[german] Cornelius, Soraya; Bohrmann-Linde, Claudia
Einsatz eines digitalen & interaktiven Selbstlernbuchs zur Einführung in die organische Chemie - erste Erprobungen im Chemieunterricht und motivationale Betrachtungen
Chemie & Schule, 2022 (4) :5-9
20224832.
Clemens, Markus; Henkel, Marvin-Lucas; Kasolis, Fotios; Günther, Michael; De Gersem, Herbert; Schöps, Sebastian
Electromagnetic Quasistatic Field Formulations of Darwin Type
arXiv preprint arXiv:2204.06286
20224831.
Clemens, Markus; Henkel, Marvin-Lucas; Kasolis, Fotios; Günther, Michael; De Gersem, Herbert; Schöps, Sebastian
Electromagnetic quasistatic field formulations of Darwin type
Preprint :1–7
20224830.
Clemens, Markus; Henkel, Marvin-Lucas; Kasolis, Fotios; Günther, Michael; De Gersem, Herbert; Schöps, Sebastian
Electromagnetic quasistatic field formulations of Darwin type
Preprint :1–7
20224829.
Schillings, Claudia; Totzeck, Claudia; Wacker, Philipp
Ensemble-based gradient inference for particle methods in optimization and sampling
20224828.
Lübke, Steffen
Entwicklung und Optimierung einer kleintechnischen Anlage zur Behandlung galvanischer Abwässer mittels Aersolbasierter Eliminierung (ABE)
20224827.
Gaul, Daniela; Klamroth, Kathrin; Stiglmayr, Michael
Event-based MILP models for ridepooling applications
European Journal of Operational Research, 301 :1048-1063
20224826.
Glück, Jochen
Evolution equations with eventually positive solutions
Eur. Math. Soc. Mag. (123) :4--11
20224825.
Halffmann, Pascal; Schäfer, Luca E.; Dächert, Kerstin; Klamroth, Kathrin; Ruzika, Stefan
Exact algorithms for multiobjective linear optimization problems with integer variables - a state of the art survey
Journal of Multicriteria Decision Analysis, 29 :343–363
20224824.
Kalalian, Carmen; Grira, Asma; Illmann, Jan Niklas; Patroescu-Klotz, Iulia; El Dib, Gisèle; Coddeville, Patrice; Canosa, André; Wiesen, Peter; Aazaad, Basheer; Senthilkumar, Lakshmipathi; Roth, Estelle; Tomas, Alexandre; Chakir, Abdelkhaleq
Experimental and Theoretical Studies of Trans-2-Pentenal Atmospheric Ozonolysis
Atmosphere, 13 (2) :291
February 2022
ISSN: 2073-44334823.
Braschke, Kamil Oskar; Zoller, Julian; Freese, Florian; Dittler, Achim; Janoske, Uwe
Fast adhesion calculation for collisions between arbitrarily shaped particles and a wall
Powder Technology, 405 :117494
2022
ISSN: 0032-59104822.
Farkas, Bálint; Nagy, Béla; Révész, Szilárd Gy.
Fenton type minimax problems for sum of translates functions
20224821.
Könen, David; Schmidt, Daniel; Spisla, Christiane
Finding all minimum cost flows and a faster algorithm for the K best flow problem
Discrete Applied Mathematics, 321 :333-349
2022
ISSN: 0166-218X4820.
Hensel, Hendrik; Henkel, Marvin-Lucas; Haussmann, Norman; Jörgens, Christoph; Stroka, Steven; Clemens, Markus
GPU-Accelerated Field Simulation of HVAC Gas Insulated Lines
2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC), Page 1-2
20224819.
Teng, Long
Gradient boosting-based numerical methods for high dimensional backward stochastic differential equations
Appl. Math. Comput., 426 :127119
20224818.
Teng, Long
Gradient boosting-based numerical methods for high-dimensional backward stochastic differential equations
Applied Mathematics and Computation, 426 :127119
2022
Publisher: Elsevier