Scheduling on uniform nonsimultaneous parallel machines

Abstract We consider the problem of scheduling on uniform processors which may not start processing at the same time with the purpose of minimizing the maximum completion time. We give a variant of the Multifit algorithm which generates schedules which end within 1.382 times the optimal maximum completion time for the general problem, and within √ 6/2 times the optimal maximum completion time for problem instances with at most two processors. This results from properties of a variant of the Multifit algorithm for scheduling on uniform processors with simultaneous start times. We also show that if a better approximation bound of the Multifit variant for scheduling on uniform processors will be found in the future, this bound will also apply to our Multifit variant for scheduling on nonsimultaneous uniform processors

Justify your alpha

Benjamin et al. proposed changing the conventional “statistical significance” threshold (i.e.,the alpha level) from p ≤ .05 to p ≤ .005 for all novel claims with relatively low prior odds. They provided two arguments for why lowering the significance threshold would “immediately improve the reproducibility of scientific research.” First, a p-value near .05provides weak evidence for the alternative hypothesis. Second, under certain assumptions, an alpha of .05 leads to high false positive report probabilities (FPRP2 ; the probability that a significant finding is a false positive

Justify your alpha

In response to recommendations to redefine statistical significance to p ≤ .005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level

Analysis of a Compound Bin Packing Algorithm

this paper was presented at the twentieth Allerton onference on ommunication, ontrol and omputing held in onticello, llinois, in ctober, . epartment of omputer cience, e as A niversit , ollege tation, . epartment of omputer cience, niversit of ennessee, no ville, -- and epartment of omputer cience, ashington tate niversit , Pullman, A -- . his author's research has been supported in part b the ational cience oundation under grants P-- and P-- , and b the ce of aval esearch under contract -- -- -- . 2 1. Introductio

Major Subject: Computer Science

Sensory Invariance Driven Action (SIDA) Framewor