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  4. Approximate CVP in Time 2(0.802n) - Now in Any Norm!
 
conference paper

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

Rothvoss, Thomas
•
Venzin, Moritz  
January 1, 2022
Integer Programming And Combinatorial Optimization, Ipco 2022
23rd International Conference on Integer Programming and Combinatorial Optimization (IPCO)

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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