Sentence examples for examples we evaluate from inspiring English sources

Through several numerical examples, we evaluate the accuracy and performance of the proposed algorithms.

Through several numerical examples, we evaluate the accuracy and performance of the proposed method.

Using cubic → cubic and cubic → tetragonal transformations as examples, we evaluate the elastic energy associated with the formation of a nucleus in a pre-existing microstructure.

In our examples, we evaluate the proposed estimation method on the K th order PPS x n = A exp ( j ( a 0 + a 1 n Δ + ⋯ + a K n Δ K ) ), where (n Δ) ∈ [- 1, 1], for K = 2 and 3.

In the two examples we evaluated the calibration of the models through both traditional tools and the methodology we are proposing.

This leads to the following definitions: SE = TP / (TP + FN + F P s ) SP = TN / (TN + F P n ) PR = TP / (TP + F P n + F P s ) FM = 2 · PR · SE / (PR + SE ) For all three benchmark examples, we evaluated the inference by those statistical measures showing the reproduction of the system structure and time series by the model.

In the next example, we evaluate the performance of the proposed scheme considering K=8 active users, each user transmitting with (N_{t_{k,n}}=8) antennas.

In the following simulation example, we evaluate the performance of the proposed adaptive CG-PGLRT detectors when an model order estimation error occurs.

As an example, we evaluate Eq. (18) for an identical pair of neurons up to the third order in r via a Taylor expansion.

Example 4.2 In this example we evaluate the number of eigenvalues of problem (4.1) in Example 4.1 using the representation of the relative oscillation numbers in the form of (3.30).

Example 4: In this fourth example, we evaluate the performance of three algorithms, M1, M2, and M3, in regions that are dominated by discontinuities by the piecewise contact signals which are shown in Fig. 9.