Hyper-differential sensitivity analysis for inverse problems constrained by partial differential equations
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Publication:5139323
DOI10.1088/1361-6420/abaf63zbMath1453.35197arXiv2003.00978OpenAlexW3049315965WikidataQ115293003 ScholiaQ115293003MaRDI QIDQ5139323
Bart G. van Bloemen Waanders, Isaac Sunseri, Alen Alexanderian, Joseph Hart
Publication date: 8 December 2020
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.00978
design of experimentsmodel uncertaintysubsurface flowporous medium flowpressure and concentration measurementsuncertainty in the boundary conditions
Related Items (8)
Hyper-differential sensitivity analysis with respect to model discrepancy: optimal solution updating ⋮ A new perspective on parameter study of optimization problems ⋮ Optimal design of validation experiments for the prediction of quantities of interest ⋮ Enabling Hyper-Differential Sensitivity Analysis for Ill-Posed Inverse Problems ⋮ Sensitivity-driven experimental design to facilitate control of dynamical systems ⋮ Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know ⋮ Hyper-differential sensitivity analysis for inverse problems governed by ODEs with application to COVID-19 modeling ⋮ Optimal experimental design for infinite-dimensional Bayesian inverse problems governed by PDEs: a review
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