Sentence examples for minimization process for from inspiring English sources

Starting with the Fekete points a direct minimization process for the Lebesgue constant leads to better results.

A design procedure is applied to complete the minimization process for the control objective using material and geometric parameters.

Table 3 lists the calibration parameters obtained by our minimization process for different kernel radii R. Figure 10 Threshold speed and fitted fundamental diagram.

For the actual umbrella sampling simulations, window centers were initially spaced at 2 Å and the whole simulated system underwent a short energy minimization process for each window.

The results are shown in Fig. 12, where the continuous black lines represent the curves obtained by fitting Neubauer and Rostásy's model (Neubauer and Rostásy 1997) with the experimental data by a minimization process of the maximum loads for the tested samples with different bonded lengths.

However, one drawback still exists: as μ becomes very large, the intermediate minimization process of PLM becomes increasingly ill-conditioned as happened for GDEWORM.

A particle swarm optimization algorithm is used for the global minimization process, minimizing the expectation and the standard deviation of the unit transportation cost.

To facilitate the minimization process, updating rules for parameters of the von Mises-Fisher mixture model are derived.

Smart Minimizer algorithm was used for the minimization process which performs 1000 steps of Steepest Descent with a RMS gradient tolerance of 3, followed by Conjugate Gradient minimization for faster convergence towards a local minimum [ 86].

In this paper, we demonstrate that the Weighted Sidelobe Minimization procedure, developed in our recent work that combines the outputs of WD and the existing Binominal Design algorithms for ordering transmitted complementary waveform sequences using a point-wise minimization process (PMP), is also effective for the elimination of false target returns arising from sea clutter.

In the context of Big Data, matrix and tensor data recovery via an online rank minimization process [31] was recently proposed for scalable imputation of missing data.