PoliMi SIAM Student Chapter

implementations can be highly unstable — small perturbations to their input can cause substantial changes in their output. In SIAM News, Vegard Antun, Nina M. Gottschling, Anders C. Hansen, and Ben Adcock consider this issue in the context of inverse problems in imaging. Check it out: https://sinews.siam.org/Details-Page/deep-learning-in-scientific-computing-understanding-the-instability-mystery

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We recall that PoliMi is going to host the SIAM Conference on Mathematical and Computational Issues in the Geosciences 2021 (GS21), in June 2021!