A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization

Volume: 23, Issue: 3, Pages: 833 - 898
Published: Mar 30, 2022
Abstract
We develop a dynamic generalized conditional gradient method (DGCG) for dynamic inverse problems with optimal transport regularization. We consider the framework introduced in (Bredies and Fanzon, ESAIM: M2AN, 54:2351-2382, 2020), where the objective functional is comprised of a fidelity term, penalizing the pointwise in time discrepancy between the observation and the unknown in time-varying Hilbert spaces, and a regularizer keeping track of...
Paper Details
Title
A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization
Published Date
Mar 30, 2022
Volume
23
Issue
3
Pages
833 - 898
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