The complexity of Boolean functions
The complexity of Boolean functions
Integer and combinatorial optimization
Integer and combinatorial optimization
Modeling brain function—the world of attractor neural networks
Modeling brain function—the world of attractor neural networks
New results on the completion time variance minimization
Proceedings of the workshop on Discrete algorithms
Algorithms for minclique scheduling problems
Discrete Applied Mathematics - Special issue on models and algorithms for planning and scheduling problems
Mathematics of Operations Research
Fast Approximation Algorithms for the Knapsack and Sum of Subset Problems
Journal of the ACM (JACM)
Algorithms for Scheduling Independent Tasks
Journal of the ACM (JACM)
Scheduling independent tasks to reduce mean finishing time
Communications of the ACM
An Approximation Scheme for Minimizing Agreeably Weighted Variance on a Single Machine
INFORMS Journal on Computing
Fast approximation algorithms for knapsack problems
SFCS '77 Proceedings of the 18th Annual Symposium on Foundations of Computer Science
Proof verification and hardness of approximation problems
SFCS '92 Proceedings of the 33rd Annual Symposium on Foundations of Computer Science
Completion time variance minimization on a single machine is difficult
Operations Research Letters
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We introduce a class of pseudo-Boolean functions called ordered, symmetric half-products. The class includes a number of well known scheduling problems. We study sets of dominating solutions for minimization of the half-products, and we show their fully polynomial time approximation schemes that use a natural rounding scheme to obtain @e-solutions in O(n^2/@e) time.