Sentence examples for generation constraints from inspiring English sources

Furthermore, generation constraints for verification environments are derived and collection and analysis of functional coverage data is implemented.

This increases considerably the accuracy of the estimates of the power system variables and makes easier to handle the reactive power generation constraints, thus resulting in higher accuracy in the voltage estimation with limited additional computational effort.

This implies that, in the nominal formulation, it was still possible to obtain reasonable architectural and system margins by acting both on optimization constraints and feasible performance model generation constraints as viable safety margin knobs.

The major difference between our proposed procedure and the one presented in [26] is that the latter does not use the three steps (i.e., Steps 2 4) to narrow the solution space by ruling out the planning candidates that violate the generation constraints (10) and (11).

These generation constraints suggest limiting the search space inside a sphere with radius r, and discreting the search space with grids of size ε.

Using this distance metric, we fulfill both generation goals by satisfying the following generation constraints: (2) D (P 0, P i ) ≤ r ∀ i > 0 D (P i, P j ) ≥ ε ∀ i, j > 0. The first generation constraint assumes that the accuracy of the coordinates of the target structure is reasonably good, and no-worse than r.

If the second generation constraint is satisfied, for each pair of generated idealized structures, there exists a pair of coordinates, one from each structure representing the same atom, such that they are at least ε distance away from each other.

The reason for this occurrence is that the generation constraint at the fourth scenario limits supplying the full energy demand at some sample trials compared to the fifth scenario, and some of the post-fault operating conditions in the fifth scenario are also less stressed.

As in QML-CLONALG, the pre-processing phase of QML-AiNet includes four sub-components: Constraint generation, Constraint filtering, Calculation of conflict set and dependency set, and Constraint set partition.

(1) Constraint generation: generate all possible constraints to construct CS, as defined in Eq. (1).

We sought to develop a next-generation constraint-based E. coli model that achieved improved phenotypic prediction accuracy while being frequently updated and easy to use.