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Dr. Osher has co-invented and developed: the level set methods for computing moving fronts involving topological changes; essentially nonosillatory high order methods for approximating hyperbolic conservation laws and Hamilton-Jacobi equations; total variation and other partial differential equation based image processing techniques; fast optimization algorithms for L1 based regularization, and diffusion generated geometric motion. Among his many honors, he has given regular (1994) and plenary (2010) invited addresses at the International Congress of Mathematicians and the John von Neumann lecture at the annual SIAM meeting; he is a fellow of SIAM, the AMS, and the American Academy of Arts and Sciences; and is a member of the National Academy of Sciences.
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Journal of Computational Physics (2024): 112753
arxiv(2024)
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CoRR (2024)
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