On concepts of directional differentiability
Journal of Optimization Theory and Applications
Semismooth Newton Methods for Operator Equations in Function Spaces
SIAM Journal on Optimization
The Primal-Dual Active Set Strategy as a Semismooth Newton Method
SIAM Journal on Optimization
Superconvergence Properties of Optimal Control Problems
SIAM Journal on Control and Optimization
Computational Optimization and Applications
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Nonsmooth operator equations in function spaces are considered, which depend on perturbation parameters. The nonsmoothness arises from a projection onto an admissible interval. Lipschitz stability in L∞ and Bouligand differentiability in Lp of the parameter-to-solution map are derived. An adjoint problem is introduced for which Lipschitz stability and Bouligand differentiability in L∞ are obtained. Three different update strategies, which recover a perturbed from an unperturbed solution, are analysed. They are based on Taylor expansions of the primal and adjoint variables, where the latter admits error estimates in L∞. Numerical results are provided.