Streaming Algorithms for Ellipsoidal Approximation of Convex Polytopes.

Annual Conference on Computational Learning Theory(2022)

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摘要
We give efficient deterministic one-pass streaming algorithms for finding an ellipsoidal approximation of a symmetric convex polytope. The algorithms are near-optimal in that their approximation factors differ from that of the optimal offline solution only by a factor sub-logarithmic in the aspect ratio of the polytope.
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