Sentence examples for relaxation approach from inspiring English sources

In order to obtain a near-optimal schedule in a reasonable computational time, Lagrangian relaxation approach is developed to solve this SCC scheduling problem by relaxing some complicated constraints.

The Lagrangian relaxation approach is used to solve the model.

However, this type of the relaxation approach is characterized by slow convergence and hence rather expensive.

In [14], a discrete relaxation approach for reducing the intrinsic combinatorial complexity was introduced.

Some lower bounds are developed using a Lagrangian relaxation approach and the valid inequalities.

The Lagrangian relaxation approach is proposed to cope with the computational difficulties for large problems.

Convex relaxation approaches are relatively computationally complex.

To overcome this difficulty, various relaxation approaches have been proposed to deal with the complementarity constraints.

Some of these drawbacks are listed below: 1. Convex relaxation approaches are relatively computationally complex.

Experimental results show that our new algorithm consistently, sometimes significantly, outperforms the traditional spectral relaxation approaches.

Although we have discussed the convex relaxation approaches in this article, as the future research directions, it may be deserved to investigate other non-convex-relaxation approaches with better performance, such as in [52 54].