Approximate CVP in Time 2(0.802n) - Now in Any Norm!

INTEGER PROGRAMMING AND COMBINATORIAL OPTIMIZATION, IPCO 2022(2022)

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摘要
We show that a constant factor approximation of the shortest and closest lattice vector problem in any norm can be computed in time 2(0.802 n). This contrasts the corresponding 2(n) time, (gap)-SETH based lower bounds for these problems that even apply for small constant approximation. For both problems, SVP and CVP, we reduce to the case of the Euclidean norm. A key technical ingredient in that reduction is a twist of Milman's construction of an M-ellipsoid which approximates any symmetric convex body K with an ellipsoid E so that 2(epsilon n) translates of a constant scaling of E can cover K and vice versa.
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关键词
Lattice algorithms, Sieving, Integer programming
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