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math.OC2024
A Gauss-Newton Method for ODE Optimal Tracking Control
Vicky Holfeld, Michael Burger, Claudia Schillings
This paper introduces and analyses a continuous optimization approach to solve optimal control problems involving ordinary differential equations (ODEs) and tracking type objective…
math.NA2024
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
Vesa Kaarnioja, Claudia Schillings
This paper contributes to the study of optimal experimental design for Bayesian inverse problems governed by partial differential equations (PDEs). We derive estimates for the para…