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On‐line balancing of random inputs
We consider an online vector balancing game where vectors vt, chosen uniformly at random in {− 1, + 1}n, arrive over time and a sign xt ∈ {− 1, + 1} must be picked immediately upon the arrival of vt. The goal is to minimize the L∞ norm of the signed sum ∑txtvt. We give an online strategy for picking...
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Published in: | Random structures & algorithms 2020-12, Vol.57 (4), p.879-891 |
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container_end_page | 891 |
container_issue | 4 |
container_start_page | 879 |
container_title | Random structures & algorithms |
container_volume | 57 |
creator | Bansal, Nikhil Spencer, Joel H. |
description | We consider an online vector balancing game where vectors vt, chosen uniformly at random in {− 1, + 1}n, arrive over time and a sign xt ∈ {− 1, + 1} must be picked immediately upon the arrival of vt. The goal is to minimize the L∞ norm of the signed sum ∑txtvt. We give an online strategy for picking the signs xt that has value O(n1/2) with high probability. Up to constants, this is the best possible even when the vectors are given in advance. |
doi_str_mv | 10.1002/rsa.20955 |
format | article |
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subjects | Balancing Computer & video games discrepancy online algorithms random vectors |
title | On‐line balancing of random inputs |
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