好开玩笑 发表于 2025-3-26 22:09:13
Approximating Closest Vector Problem in , Norm Revisited, the study for approximating Closest Vector Problem. We give one proof that approximating the Closest Vector Problem over . norm (.) within any constant factor is NP-hard. The result is obtained by the gap-preserving reduction from Min Total Label Cover problem in . norm to .. This proof is simpler than known proofs.FLIP 发表于 2025-3-27 05:08:28
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Introduction to Dense Optical Flowacility has zero or at least . customers. The .-gathering problem asks to find an .-gathering that minimizes the maximum distance between a customer and its facility. In this paper we study the .-gathering problem when the customers and the facilities are on a line, and each customer location is uncInstrumental 发表于 2025-3-27 18:52:30
http://reply.papertrans.cn/16/1529/152891/152891_36.pngevaculate 发表于 2025-3-28 01:31:16
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http://reply.papertrans.cn/16/1529/152891/152891_39.pngangiography 发表于 2025-3-28 10:37:38
W.A. Baan,Y. Hagiwara,H.J. Langevelderward re-calculation of . would require . arithmetic operations, where . and . depends on the strategy of computing . appearing in ., using the fastest square matrix multiplication algorithm by François Le Gall (ISSAC’14). In this paper, we assume that . is a . matrix and that . is known while no ot