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Parallel machine scheduling to minimize energy consumption:

, In: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms,

Antoniadis, Antonios ; Garg, Naveen ; Kumar, Gunjan. - p. 2758-2769 , 2020

Link: https://dl.acm.org/doi/10.5555/3381089.3381257

RT 
T1 <cTitle>Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms</cTitle>: T1 <Title>Parallel machine scheduling to minimize energy consumption</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3381257&Exemplar=1&LAN=DE
				
A1 Antoniadis, Antonios
A1 Garg, Naveen
A1 Kumar, Gunjan
A1 Kumar, Nikhil
PB Society for Industrial and Applied Mathematics
YR 2020
K1 Computing methodologies
K1 Symbolic and algebraic manipulation
K1 Symbolic and algebraic algorithms
K1 Mathematics of computing
K1 Mathematical analysis
K1 Functional analysis
K1 Approximation
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Scheduling algorithms
K1 Online algorithms
K1 Online learning algorithms
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
SP 2758
OP 2769
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3381089.3381257
DO https://dl.acm.org/doi/10.5555/3381089.3381257
SF ELIB - SuUB Bremen

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