Events

CSIP 2023 - Chemnitz Symposium on Inverse Problems | 8.-10.11.2023 | Würzburg

11/08/2023 - 11/10/2023

Category:	event
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen), Professorship Inverse Problems on behalf of the German-Speaking Inverse Problems Society (GIP)

Seminar Scientific Computing (Prof. Hao Chen)

Differential Riccati equations play a crucial role in optimal control and estimation theory

07/24/2023, 2:15 PM - 2:15 PM

Announcement of the seminar "Scientific Computing"

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Dr. Hao Chen

Seminar Scientific Computing (Prof. Vittorio Colao)

On some iterative algorithms arising in metric fixed point Theory

07/21/2023, 12:00 PM - 1:30 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Dr. Vittorio Colao

Seminar Scientific Computing (Prof. Vittorio Colao)

On some iterative algorithms arising in metric fixed point Theory

07/17/2023, 2:15 PM - 3:30 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Dr. Vittorio Colao

Seminar Scientific Computing (Dr. Housen Li)

Adaptive minimax optimality in statistical inverse problems

06/19/2023, 2:15 PM - 3:30 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Housen Li

Seminar Scientific Computing (Dr. Tim Breitenbach)

Optimization and Machine learning in action for data center automation, single cell analysis and glioblastoma research

02/15/2023, 11:30 AM - 12:30 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Tim Breitenbach

Seminar Scientific Computing (Dr. Remo Kretschmann)

Optimization Optimal and Machine learning Bayesian regularized hypothesis testing in action for data center automation, single cell analysis and glioblastoma researchstatistical inverse problems

02/14/2023, 2:15 PM - 3:30 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Remo Kretschmann

Oberseminar Wissenschaftliches Rechnen (Dr. Stefana Anita) (Kopie 1)

Nonlocal Optimal Control for a Nonlinear Fokker-Planck Equation

11/22/2022, 10:15 AM - 12:00 PM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Stefana Anita

Oberseminar Wissenschaftliches Rechnen (Dr. Vesa Kaarnioja)

Modeling domain uncertainty using periodic random variables with application to elliptic PDEs

10/07/2022, 12:00 PM - 1:00 PM

Category:	event
Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Vesa Kaarnioja

Seminar Scientific Computing (Dr. Florian Wechsung, Courant Institute of Mathematical Sciences New York University)

Direct Stellarator coil optimisation under uncertainty

07/21/2021, 2:00 PM - 3:00 PM

[Translate to Englisch:] Ankündigung Oberseminar Wissenschaftliches Rechnen

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Florian Wechsung

Seminar Scientific Computing (Prof. Georg Stadler, Courant Institute of Mathematical Sciences New York University)

Optimal control of PDEs under uncertainty with joint chance state constraints

07/14/2021, 2:00 PM - 3:00 PM

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Georg Stadler

Seminar Scientific Computing (Jun.-Prof. Anne Wald, Georg-August-Universität Göttingen)(Kopie 1)

Time-dependence as modelling inexactness in inverse problems: regularization and application in dynamic imaging

07/07/2021, 2:00 PM - 3:00 PM

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Jun.-Prof. Dr. Anne Wald

Seminar Scientific Computing (Prof. Dr. Bruno Buonomo, University of Naples Federico II)

Modeling vaccine hesitancy using a behavioral epidemiology approach

06/30/2021, 2:00 PM - 3:00 PM

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Dr. Bruno Buonomo

Seminar Scientific Computing (Markus Pohlmann, Georg-August-Universität Göttingen)

Minimax detection of frame-based signals in statistical inverse problems

06/16/2021, 2:00 PM - 3:00 PM

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Markus Pohlmann

Seminar Scientific Computing (Dr. Daniel Gerth, TU Chemnitz)

A short introduction to Tikhonov regularization for ill-posed problems

06/09/2021, 2:00 PM - 3:00 PM

Location:	zoom video conference
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Dr. Daniel Gerth

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Hubland Nord, Geb. 30

Hubland Nord, Geb. 31 Hubland Nord, Geb. 40 Hubland Nord, Geb. 41

Differential Riccati equations play a crucial role in optimal control and estimation theory

On some iterative algorithms arising in metric fixed point Theory

On some iterative algorithms arising in metric fixed point Theory

Adaptive minimax optimality in statistical inverse problems

Optimization and Machine learning in action for data center automation, single cell analysis and glioblastoma research

Optimization Optimal and Machine learning Bayesian regularized hypothesis testing in action for data center automation, single cell analysis and glioblastoma researchstatistical inverse problems

Nonlocal Optimal Control for a Nonlinear Fokker-Planck Equation

Modeling domain uncertainty using periodic random variables with application to elliptic PDEs

Direct Stellarator coil optimisation under uncertainty

Optimal control of PDEs under uncertainty with joint chance state constraints

Time-dependence as modelling inexactness in inverse problems: regularization and application in dynamic imaging

Modeling vaccine hesitancy using a behavioral epidemiology approach

Minimax detection of frame-based signals in statistical inverse problems

A short introduction to Tikhonov regularization for ill-posed problems

Picture credits