Conférences - Simulation - Allemagne

Uncertainty quantification (UQ) is essential for producing informative computational predictions in a wide range of sciences and engineering. The field relies on a broad range of mathematical and statistical foundations, with associated algorithmic and computational developments. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in the development and implementation of uncertainty quantification methods. Major conference themes will include the mathematical and statistical foundations of UQ, applications of UQ in the physical sciences and biosciences, and connections between UQ and machine learning. The goal of the meeting is to provide a forum to share ideas and enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field.

Universität Augsburg

Parametric optimization is a part of mathematical programming and has emerged as an exciting research area in theory, numerics and applications. It investigates the properties of solutions to optimization problems under data perturbations or uncertainty. Many relations to other disciplines of operations research, like stochastic programming, complementarity problems, mixed-integer problems, model-building, numerical methods, multi-objective optimization and optimal control, originate from these properties.

Recherche opérationnelle,    Algorithmes

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mécanique quantique et l'information quantique,    Physique mathématique

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)