Veranstaltungen

Oberseminar Wissenschaftliches Rechnen (Rommel Real)

A Noise Level-free Parameter Choice Rule for Solving Inverse Problems

Oberseminar Wissenschaftliches Rechnen (Giovanni Manfredi)

Stochastic thermodynamics: From optimal protocols to quantum analogues

Oberseminar Wissenschaftliches Rechnen (Michael Bildhauer)

On some generalizations of classical results for a wide class of variational problems with linear growth conditions

Oberseminar Wissenschaftliches Rechnen (Martin Klakow)

Quantitative magnetic resonance imaging as inverse problem

Oberseminar Wissenschaftliches Rechnen (Emanuel Pfarr)

Mathematical Understanding of Diffusion Models

Oberseminar Wissenschaftliches Rechnen (Dr. Stefana Anita)

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

Oberseminar Wissenschaftliches Rechnen (PD Dr. Markus Weimar, JMU Würzburg)

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

Oberseminar Wissenschaftliches Rechnen (Prof. Kurt Chudej, Univ. Bayreuth)

Theoretische und Numerische Untersuchungen eines Krankheitsmodells mit mehreren Tierarten

Oberseminar Wissenschaftliches Rechnen (Dr. Sara Nicoletti)

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

Oberseminar Wissenschaftliches Rechnen (Dr. John Pearson)

Recent Developments in Numerical Linear Algebra for PDE-Constrained Optimization Problems

Oberseminar Wissenschaftliches Rechnen (Prof. Giuseppe Maria Coclite)

Nonlinear Peridynamic Models

Oberseminar Wissenschaftliches Rechnen (Prof. Matthias Ehrhardt)

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

Oberseminar Wissenschaftliches Rechnen (Prof. Martin Gugat)

L1-control cost and the finite–time turnpike property

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

Oberseminar Wissenschaftliches Rechnen (Prof. Hao Chen)

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