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PDE-based Bayesian Inverse Problems in All-at-once Framework
We propose a modern all-at-once framework for PDE-based Bayesian inversion by introducing the PDE residual as probabilistic information. In this framework, the PDE residual is treated as a soft constraint with a residual covariance and is directly incorporated into the likelihood function. The new h
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