A quantitative analysis of OS noise
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
Here we describe computationally efficient procedures for tightening cover induced inequalities by using 0-1 knapsack constraints and, if available, cliques whose variables are included in the cover. An interesting application is the case where the cover is implied by the knapsack constraint. The tightening is achieved by increasing the coefficients of the cover inequality. The new constraint is 0-1 equivalent to and LP tighter than the original one. The computational complexity of the procedures is O(n log n), where n is the number of variables in the cover. © 1992.
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
David S. Kung
DAC 1998
Joel L. Wolf, Mark S. Squillante, et al.
IEEE Transactions on Knowledge and Data Engineering
Elliot Linzer, M. Vetterli
Computing