Aktuelle Veranstaltungen

OS Numerical Optimization: Error estimates for a pointwise tracking optimal control problem of a semilinear elliptic equation

Wann
Montag, 21. Oktober 2024
15:15 bis 16:45 Uhr

Wo
F426

Veranstaltet von
S. Volkwein

Vortragende Person/Vortragende Personen:
Dr. Francisco Fuica Villagra

On 21th October 2024 at 15:15, Dr. Francisco Fuica Villagra from the Universidad Técnica Federico Santa María will give a talk.


Abstract: In this talk we consider a pointwise tracking optimal control problem for a semilinear elliptic partial differential equation. We derive the existence of optimal solutions and analyze first- and, necessary and sufficient, second-order optimality conditions. Two strategies of discretization are devised to approximate a solution of the optimal control problem: a semidiscrete scheme where the control variable is not discretized and a fully discrete scheme where the control variable is discretized with piecewise constant functions. For both solution techniques, we analyze convergence properties of discretizations and derive error estimates.

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OS Numerical Optimization: Error estimates for a pointwise tracking optimal control problem of a semilinear elliptic equation

Wann
Montag, 21. Oktober 2024
15:15 bis 16:45 Uhr

Wo
F426

Veranstaltet von
S. Volkwein

Vortragende Person/Vortragende Personen:
Dr. Francisco Fuica Villagra

On 21th October 2024 at 15:15, Dr. Francisco Fuica Villagra from the Universidad Técnica Federico Santa María will give a talk.


Abstract: In this talk we consider a pointwise tracking optimal control problem for a semilinear elliptic partial differential equation. We derive the existence of optimal solutions and analyze first- and, necessary and sufficient, second-order optimality conditions. Two strategies of discretization are devised to approximate a solution of the optimal control problem: a semidiscrete scheme where the control variable is not discretized and a fully discrete scheme where the control variable is discretized with piecewise constant functions. For both solution techniques, we analyze convergence properties of discretizations and derive error estimates.