A proximal gradient method for control problems with non-smooth and non-convex control cost

Author:

Natemeyer Carolin,Wachsmuth Daniel

Abstract

AbstractWe investigate the convergence of the proximal gradient method applied to control problems with non-smooth and non-convex control cost. Here, we focus on control cost functionals that promote sparsity, which includes functionals of $$L^p$$ L p -type for $$p\in [0,1)$$ p [ 0 , 1 ) . We prove stationarity properties of weak limit points of the method. These properties are weaker than those provided by Pontryagin’s maximum principle and weaker than L-stationarity.

Funder

DFG

Julius-Maximilians-Universität Würzburg

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization

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