M. Sama Meige, A. Khan
This presentation addresses a multiobjective elliptic control problem with state constraints. Specifically, we develop an abstract framework to derive error estimates for a finite-dimensional approximation of multiobjective optimization in Banach spaces under linear constraints. We demonstrate the application of this framework to obtain numerical error estimates for a complete finite element discretization of our problem, supported by numerical examples.
Keywords: Multiobjective Optimization, PDE Constrained Optimization
Scheduled
Continuous Optimization I
June 10, 2025 11:30 AM
MR 3