Sentence examples for weak optimization from inspiring English sources

This is the proposition that relaxes the condition defined by P v, min. In effect, weak optimization provides the optimal probability,, subject to a pre-determined R rather than a given P v, min > 0. Fig. 3 shows σ* versus R for representative parameter settings.

These are important in that they furnish a direct solution to what might be called the weak optimization problem.

In weak light, optimization of leaf function calls for greater investment of leaf resources in light harvesting rather than energy processing.

In Section 4, we further discuss the upper Hölder continuity of the optimal value mapping and the weak optimal value mapping for a vector optimization problem.

In Section 3, we discuss the upper Hölder continuity and Hölder calmness of the optimal solution mapping and the weak optimal solution mapping for a vector optimization problem.

In addition, the condition imposed in the foregoing theorem only needs the function to be lower semi-continuous, a rather weak condition in optimization.

For example, a nonlinear enhancing of weak signals using optimization theory, neural network-based filters, weighing of the impulse responses and automatic gain control method can be used for that purpose [41, 58].

First, we select candidate key weak poses using energy optimization as in [42].

The suggested approach accounts for the non-unique choice of the phenomenological parameter of the model and for the comparatively weak variation of the optimization criterion in the vicinity of the optimum.

One is transforming weak sharp minima to an optimization problem; another is using conjugate functions.

Finally, we apply the nonlinear scalarization function to discuss the weak -sharp minimizer in vector optimization problems.