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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Widths of convex sets and the power of adaption and randomization
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If you have a question about this talk, please contact nobody. DREW01 - Multivariate approximation, discretization, and sampling recovery We present bounds between different widths of convex subsets of Banach spaces, including Gelfand, Kolmogorov and Bernstein widths.Using this, and some relations between widths and minimal errors, we obtain bounds on the maximal gain of adaptive and randomizedalgorithms over non-adaptive, deterministic ones for approximating linear operators on convex sets. We conclude with an overview of the new state of the art and a list of open problems. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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