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Explore infinite-dimensional nonlinear inverse problems with finite measurements in this 57-minute SIAM-IS Virtual Seminar Series talk. Delve into uniqueness, stability, and reconstruction techniques, focusing on scenarios where the unknown lies in or is well-approximated by finite-dimensional subspaces or submanifolds. Discover the interplay between applied harmonic analysis, sampling theory, compressed sensing, machine learning, and inverse problem theory for partial differential equations. Examine practical examples, including the Calderón problem and scattering. Learn about Lipschitz stability with linear subspaces, modeling finite measurements, and compressed sensing for inverse problems in PDEs. Investigate low-dimensional manifolds, Hölder-Lipschitz stability, and discrete and continuous generator structures. Gain insights into sufficient conditions for injectivity and the main result on Lipschitz stability with finite measurements.
