Adaptive anisotropic Bayesian meshing for inverse problems
Adaptive anisotropic Bayesian meshing for inverse problems
Abstract We consider inverse problems estimating distributed parameters from indirect noisy observations through discretization of continuum models described by partial differential or integral equations. It is well understood that errors arising from the discretization can be detrimental for ill-posed inverse problems, as discretization error behaves as correlated noise. While this …