Job Shop Scheduling Problems with Controllable Processing Times
ICTCS '01 Proceedings of the 7th Italian Conference on Theoretical Computer Science
A unified framework for model-based clustering
The Journal of Machine Learning Research
Optimal monitoring in multi-channel multi-radio wireless mesh networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
A stable primal---dual approach for linear programming under nondegeneracy assumptions
Computational Optimization and Applications
Complexity of evolution in maximum cooperative P systems
Natural Computing: an international journal
Hi-index | 0.00 |
We show that the complexity to solve linear programming problems, using standard linear algebra, can be reduced to O([n3/ln n]L) operations, where n is the number of variables in a standard-form problem with integer data of bit size L. Our technique combines partial updating with a preconditioned conjugate gradient method, in a scheme first suggested by Nesterov and Nemirovskii.