Axel Ringh
My research interests are in the field of applied mathematics, more specifically in the intersection of areas such as optimization, systems theory, inverse problems, and machine learning.

Showing 11 publications
Matrix Completion and Decomposition in Phase Bounded Cones
Gain and phase type multipliers for feedback robustness
Fast Computation of the TGOSPA Metric for Multiple Target Tracking Via Unbalanced Optimal Transport
Inverse optimal control for averaged cost per stage linear quadratic regulators
Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport
Graph-structured tensor optimization for nonlinear density control and mean field games
Mean field type control with species dependent dynamics via structured tensor optimization
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Showing 2 research projects
Identification of underlying incentives using inverse optimal control
New conditions for optimized freight transport solutions