Events

Oberseminar Wissenschaftliches Rechnen (Dr. Stefana Anita)

A Mean Field Game System and a Related Deterministic Optimal Control Problem

05/22/2025, 12:00 PM - 1:30 PM

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

Seminar Scientific Computing (PD Dr. Markus Weimar, JMU Würzburg)

Sobolev spaces with mixed weights and the Poisson equation on angular domains

01/28/2025, 1:00 PM - 2:30 PM

Category:	Veranstaltung
Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	PD Dr. Markus Weimar

Seminar Scientific Computing (Prof. Kurt Chudej, Univ. Bayreuth)

Theoretische und Numerische Untersuchungen eines Krankheitsmodells mit mehreren Tierarten

07/12/2024, 10:00 AM - 11:30 AM

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

Seminar Scientific Computing (Dr. Sara Nicoletti)

An optimal control problem governed by the Wigner equation: transport of single atoms in optical tweezers

06/27/2024, 9:30 AM - 11:00 AM

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

Seminar Scientific Computing (Dr. John Pearson)

Nonlinear Peridynamic ModelsRecent Developments in Numerical Linear Algebra for PDE-Constrained Optimization Problems

06/19/2024, 10:30 AM - 11:00 AM

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

Seminar Scientific Computing (Prof. Giuseppe Maria Coclite)

Nonlinear Peridynamic Models

06/13/2024, 9:30 AM - 11:00 AM

Location:	Hubland Nord, Geb. 30, 30.02.003
Organizer:	Lehrstuhl für Mathematik IX (Wissenschaftliches Rechnen)
Speaker:	Prof. Giuseppe Maria Coclite, PhD

Seminar Scientific Computing (Prof. Matthias Ehrhardt)

Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators

05/17/2024, 10:00 AM - 11:00 AM

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

Oberseminar Wissenschaftliches Rechnen (Prof. Martin Gugat)

L1-control cost and the finite–time turnpike property

02/07/2024, 12:00 PM - 1:00 PM

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

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

11/08/2023 - 11/10/2023

Category:	Veranstaltung
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

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Hubland Nord, Geb. 30

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

A Mean Field Game System and a Related Deterministic Optimal Control Problem

Sobolev spaces with mixed weights and the Poisson equation on angular domains

Theoretische und Numerische Untersuchungen eines Krankheitsmodells mit mehreren Tierarten

An optimal control problem governed by the Wigner equation: transport of single atoms in optical tweezers

Nonlinear Peridynamic ModelsRecent Developments in Numerical Linear Algebra for PDE-Constrained Optimization Problems

Nonlinear Peridynamic Models

Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators

L1-control cost and the finite–time turnpike property

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

Picture credits