Sentence examples for constraints whose from inspiring English sources

Using this call-graph information, program's exception flow is derived as set constraints, whose least model is our analysis result.

This problem belongs to the class of NP-Hard problem because of the vast search space and multiple constraints whose optimal solution is really difficult to find out.

These are defined as two violable constraints whose effects are shown to converge in the case of differential object marking but diverge in the case of differential subject marking.

Such useful information can be incorporated into the genetic algorithm optimization procedure by treating the more challenging/important objectives as constraints whose ideal values are adaptively improved/tightened during the procedure to guide the search.

When all training instances and labels are considered all together in a single optimization problem, multi-label support and core vector machines (i.e., Rank-SVM and Rank-CVM) are formulated as quadratic programming (QP) problems with equality and bounded constraints, whose training procedures have a sub-linear convergence rate.

Two different SBD versions are then presented and demonstrated on a complex industrial problem, namely the optimal shape redesign of a ship under real-world geometrical and functional constraints, whose evaluation during the optimization process involves repeated solutions of the Reynolds Averaged Navier Stokes equations.

Bounded errors arise from an artificial speed constraint whose circumvention is largely but not exclusively unpredictable.

Then, a reasonable "weakened" AW problem is introduced, in which the "model-matching" requirement is considered just as a performance requirement (instead of a hard constraint) whose relaxation can be traded off with robustness to larger uncertainties.

At first, the procedure assigns automatically a uniform weight to the constraint whose value is equal to the mean of the range.

Equation (1) can be rewritten in a matrix form as follows: (2) where S is a matrix representing the smoothness constraint, whose elements can be calculated based on Eq. (1), and x is a vector of slip amounts on subfaults.

To overcome the aforementioned problem with respect to an unacceptable power increase, we propose to supplement the optimization problem described by (7) with an additional, indirect constraint whose aim is to minimize the CCs power.