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» Approximation Algorithms for Scheduling on Multiple Machines
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DCOSS
2006
Springer
13 years 11 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei
ICALP
2007
Springer
14 years 1 months ago
Mechanism Design for Fractional Scheduling on Unrelated Machines
In this paper, we consider the mechanism design version of the fractional variant of the scheduling problem on unrelated machines. We give a lower bound of 2 − 1/n for any fracti...
George Christodoulou, Elias Koutsoupias, Annam&aac...
STACS
2009
Springer
14 years 2 months ago
Semi-Online Preemptive Scheduling: One Algorithm for All Variants
We present a unified optimal semi-online algorithm for preemptive scheduling on uniformly related machines with the objective to minimize the makespan. This algorithm works for a...
Tomás Ebenlendr, Jiri Sgall
APPROX
2009
Springer
163views Algorithms» more  APPROX 2009»
14 years 2 months ago
The Power of Preemption on Unrelated Machines and Applications to Scheduling Orders
Abstract. Scheduling jobs on unrelated parallel machines so as to minimize the makespan is one of the basic, well-studied problems in the area of machine scheduling. In the first ...
José R. Correa, Martin Skutella, José...
ML
2002
ACM
154views Machine Learning» more  ML 2002»
13 years 7 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan