Sentence examples for by optimizing a constrained from inspiring English sources

Furthermore, by optimizing a constrained objective function, the learnt dictionary is rendered robust and discriminative, thereby resulting in an accurate tracking framework that can efficiently separate the target from the background.

By solving a constrained optimization problem transformed into an H∞ control framework, the disturbance rejection performance is optimized while ensuring the robust stability of the closed-loop visual servoing system.

Design modification is performed by solving a constrained optimization problem.

According to Sporns and Kötter [67], in this network the frequency of only five structural motifs appeared significantly increased when optimizing a random network that was constrained by the number of estimated functional motifs (see Figure 3B and Table 4 in [67]).

The EMPC optimizes the energy consumption using a constrained optimization routine including the comfort margins specified by the occupant in a receding horizon manner.

The size distribution was determined by a constrained regularization method.

This parameter could obtain by optimizing the WIR as the following constrained maximization λ k = arg max 0 ≤ k ≤ D s T R x s m z 2 σ z 2. (35).

Hence, our objective is to minimize the new long-run average total cost per unit time denoted by (hat{Pi }), namely the sum of the capital investment cost for reducing S and the inventory relevant cost as expressed in (2), by optimizing over Q, S and (rho ) constrained on (0 ;< S ; le ; S_0).

Results show that the airfoil optimized by constraining a favorable pressure gradient larger than 0.2 is good for both cruise efficiency and robustness.

Zhang et al. ([1997]) used the multi-response parameter estimation developed by Bates and Watts ([1987], [1988]) to constrain an individual-tree model by optimizing for both tree and diameter-class levels.

In keeping with the hypothesis that over-expression of these genes is predictive of recurrence, we constrained the regression coefficients to positive values, and selected the L1 penalty parameter by optimizing 10-fold cross-validated likelihood.