Refine
Has Fulltext
- yes (9)
Is part of the Bibliography
- yes (9)
Document Type
- Journal article (8)
- Preprint (1)
Language
- English (9)
Keywords
- Pontryagin maximum principle (2)
- nonsmooth optimization (2)
- numerical analysis (2)
- optimal control theory (2)
- Brockett (1)
- Fokker–Planck equation (1)
- Lotka-Volterra models (1)
- Nash bargaining problem (1)
- Nash equilibria (1)
- Newton methods (1)
Institute
EU-Project number / Contract (GA) number
- 304617 (2)
First-order proximal methods that solve linear and bilinear elliptic optimal control problems with a sparsity cost functional are discussed. In particular, fast convergence of these methods is proved. For benchmarking purposes, inexact proximal schemes are compared to an inexact semismooth Newton method. Results of numerical experiments are presented to demonstrate the computational effectiveness of proximal schemes applied to infinite-dimensional elliptic optimal control problems and to validate the theoretical estimates.