Workshop Advances in Algorithmic Optimization

This workshop brings together leading experts to discuss recent advances in algorithmic optimization, spanning theory, methods, and applications. Topics include optimization with partial differential equation constraints, numerical methods for large-scale systems, model reduction, optimal control, and inverse problems, as well as emerging approaches in uncertainty quantification and machine learning–driven optimization. By highlighting both methodological innovations and practical applications, the workshop reflects the broad and deep impact of algorithmic optimization in modern science and engineering. The event is organized on the occasion of Volker Schulz’s birthday (Department of Mathematics, Trier University), honoring his pioneering contributions to the field.

Registration for this event is free of charge but mandatory (Deadline: November 14, 2025).