Sentence examples for minima in each from inspiring English sources

Figures 11 and 12 show the evolution of the part of the wage that excludes the nationally negotiated minima in each sector by the employees' position (black line).

It is extremely important to note that this normalization is scaling-aware, i.e., the normalization of each dimension d is based on (hat {RP}^{d}) and (check {RP}^{d}), and not on the current-best evaluated maxima and minima in each dimension.

In this experiment, we find this value by applying k-means algorithm five times to avoid local minima in each window for length of vectors for 100,000 samples and calculating average silhouette for different value of k from 2 to 10.

The decision on which individual tariffs should be reduced is left to the discretion of each country, but an all-round minimum reduction of 5 per cent is required in each period, and a more stringent all-round minimum in each of the three four-year stages of tariff reduction.The institutions for the common market have also been modified.

This occurs when the distance matrix has a unique minimum and, moreover, when each distance matrix keeps having a unique minimum in each HCA step.

To account for the narrow CSA, this component must undergo rapid fluctuation with large amplitudes at the torsional potential minimum in each C C bond and possibly an additional random jump or diffusional rotation around the chain axis.

From the descriptive statistics, we can see that in the case of the variable "number of beds" the maximum is approximately up to two times higher compared to a minimum in each year.

The illumination times were adapted for the two proteins such that the signal reached a maximum or minimum in each cycle.

This methodology ensures that each optimization problem is initialized with an excellent initial guess for the knot locations and spline parameters, rendering shorter optimization times and convergence to at least a decent local minimum in each iteration.

This is particularly the case for second-order methods such as the Newton Raphson optimization that uses a local quadratic approximation of the energy function to find the next minimum in each iteration (Fletcher, 1981).

To avoid local minima in training, each model is trained 20 times with random initialization and the best model is selected based on the validation subset.