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Tight Bounds for Online Vector Bin Packing

机译:在线矢量装箱包装的紧密界限

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In the d-dimensional bin packing problem (VBP), one is given vectors x_1,x_2,... ,x_n ∈ R~d and the goal is to find a partition into a minimum number of feasible sets: {1, 2 ..., n} U_i~sB_i. A set B_i is feasible if Σ_(j∈B_i x_j ≤ 1 denotes the all 1's vector. For online VBP, it has been outstanding for almost 20 years to clarify the gap between the best lower bound Ω(1) on the competitive ratio versus the best upper bound of O(d). We settle this by describing a Ω(d~(1-∈)) lower bound. We also give strong lower bounds (of Ω(d~(1/B-∈)) ) if the bin size B ∈ Z_+ is allowed to grow. Finally, we discuss almost-matching upper bound results for general values of B; we show an upper bound whose exponent is additively "shifted by 1" from the lower bound exponent.
机译:在d维箱装箱问题(VBP)中,给定向量x_1,x_2,...,x_n∈R〜d,目标是找到一个划分为最小数量的可行集:{1,2,3。 ..,n} U_i〜sB_i。如果Σ_(j∈B_ix_j≤1表示所有1的向量,则设置B_i是可行的。对于在线VBP,澄清最佳竞争比率下限Ω(1)与最好是O(d)的上限。我们通过描述Ω(d〜(1-∈))下界来解决这个问题。我们还给出(Ω(d〜(1 /B-∈))的强下界最后,我们讨论了B的一般值的几乎匹配的上限结果;我们显示了一个上限,该上限的指数与下限指数加了“ 1”。

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