Sentence examples for search curve from inspiring English sources
SUS simulation curve overlaps OPT exhaustive search curve, but we remark that NUS does not behave very well in this scenario, because it chooses users without paying any attention to their spatial orthogonality, which may affect significantly the interference observed by the selected users.
Our results show that compared to simple random sampling and random balance design sampling, sensitivity indices (ratios of partial variances to variance of a specific model output) estimated by search-curve based sampling generally have higher precision but larger underestimations.
In this paper, we theoretically show that FAST analysis can be used to estimate partial variances contributed by both main effects and interaction effects of model parameters using different sampling approaches (i.e., traditional search-curve based sampling, simple random sampling and random balance design sampling).
FAST uses a unique search-curve to explore parameter space and employs Fourier decomposition of the objective function to calculate main effects, or first-order sensitivity indices [ 15, 20].
Then, search the curve's maximal target peak interval and extract the interval by bandpass filtering in fractional Fourier domain.
Its main idea is derived from the GHT in image processing field, which searches sinusoidal curves or other types of curves hidden in images.
Two types of variable frequency were controlled to adjust the branch wind quantity, the frequency-concentration (f-w) servo control method and the curve search method.
This method was further improved by combination of the Fibonacci search and the curve fitting method to avoid the local optimum disturbance [12].
The results indicate that the mine ventilator variable-frequency control automatically adjusted the branch wind quantity, which strictly followed the frequency-concentration servo control method and curve search method.
Here we address the problem of interpolating between a pair of prescribed line elements that have a natural mathematical representation in affine geometry, leading to the formulation of the interpolation problem as a search for the curve which is an extremum of the affine arc-length integral:.
