2 papers
math.OC2025
Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
Matthias K. Hoffmann, Amine Othmane, Kathrin FlaÃkamp
Many engineering tasks require solving families of nonlinear constrained optimization problems, parametrized in setting-specific variables. This is computationally demanding, parti…
math.OC2024
Globally convergent homotopies for discrete-time optimal control
Willem Esterhuizen, Kathrin FlaÃkamp, Matthias Hoffmann +1
Homotopy methods are attractive due to their capability of solving difficult optimisation and optimal control problems. The underlying idea is to construct a homotopy, which may be…