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Approximating weighted completion time via stronger negative correlation

Author(s)
Baveja, Alok; Qu, Xiaoran; Srinivasan, Aravind
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
Minimizing the weighted completion time of jobs in the unrelated parallel machines model is a fundamental scheduling problem. The first (3/2−𝑐) –approximation algorithm for this problem, for some constant 𝑐>0 , was obtained in the work of Bansal et al. (SIAM J Comput, 2021). A key ingredient in this work was the first dependent-rounding algorithm with a certain guaranteed amount of negative correlation. We improve upon this guaranteed amount from 1/108 to 1/27, thus also improving upon the constant c in the algorithms of Bansal et al. and Li (SIAM J Comput, 2020) for weighted completion time. Given the now-ubiquitous role played by dependent rounding in scheduling and combinatorial optimization, our improved dependent rounding is also of independent interest.
Date issued
2023-03-30
URI
https://hdl.handle.net/1721.1/156081
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Journal of Scheduling
Publisher
Springer US
Citation
Baveja, A., Qu, X. & Srinivasan, A. Approximating weighted completion time via stronger negative correlation. J Sched 27, 319–328 (2024).
Version: Author's final manuscript

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