Sentence examples for in the number of constraints from inspiring English sources

From the results, we can see that the size of robust formulations do not increase much, because the increase in the number of constraints and variables is at the same scale as the number of the uncertain parameters.

The formulation is small in the number of constraints and variables, compared to the aforementioned formulations based on flows or cut sets.

In the proposed algorithms, r is set to 4. In turn, the number of constraints in the 0 1 ILP problem generated in the first iteration is m n+m+n.

In both problems, the number of constraints is and the number of the decision variables is which is the size of Thus, the problem size is relatively small and might be proportional to the node density.

The Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used to compare the goodness of fit of the MC and UPM models: (2) (3) where and E_{{\rm UPM}}^2 are the deviation norms for the MC and UPM models, n is the total number of edges in GTs, and Δ d is the number of constraints in the MC model (five and eight for Drosophila and Saccharomycetales, respectively).

In problem (P4), we extend the number of constraints of our optimization problem by accounting for the angular uncertainty regions; this directly impacts the computational complexity of the problem.

It is well established in the literature that, when the number of constraints is very large, the active set identification technique can improve the local convergence behavior and decrease the computation cost of the algorithms of nonlinear programming and minimax problems.

Given the number of iterations ni, the number of constraints in the 0 1 ILP problem generated in the last iteration is m n+m+n+ni−1, if the proposed algorithms were not terminated in an earlier iteration.

We present the first polynomial time algorithm for Cornell's problem, which runs in time O(mn), where m is the number of constraints and n the number of variables in the constraint.

The redundancy level is simply equal to the number of constraints in this case, 6.

In each of these sub-problems, the number of constraints is reduced and an appropriate rule is selected and applied.