Workshop on PDE Constrained Optimization under Uncertainty

and Mean Field Games

PDE constrained optimization under uncertainty is a quickly growing topic of applied mathematics. Researchers from various disciplines approach this topic from different perspectives (e.g. representatives of PDE constrained optimization feeling the need to incorporate uncertain parameters in their models or researchers in stochastic optimization being led to extend their models to infinite-dimensional decisions). The workshop aims at bringing together these communities and discussing new developments in this field.

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