Sentence examples for minimal number of samples from inspiring English sources
Thus, we have developed specialized adaptive search algorithms designed to discover performance boundaries of the autonomy using a minimal number of samples.
It is then demonstrated that the new strategy results in a polynomial least squares method with high accuracy and robust stability at almost minimal number of samples.
Second, profiles of single or multiple samples were theoretically averaged to test for statistically significant clustering in order to determine the minimal number of samples to be pooled to achieve representativity.
The applications to a linear advection problem, the inviscid Burgers' equation, a shock tube problem, and the transonic flow over the RAE 2822 airfoil show that SSC SR resolves random spatial discontinuities with multiple stochastic and spatial dimensions accurately using a minimal number of samples.
A minimal number of samples required re-analysis because the results were outside of the range of the standard curve.
During the generation of the current RP tree, only physicochemical properties were used, the maximal tree depth was four, the minimal number of samples per node was 40, and the weighting method was by class.
Compared with similar approaches for estimating population parameters, the triplet method requires not only a minimal number of samples but also a large number of loci for statistical power.
The goal of this study is to find a PMP approach that uses a minimal number of sampled points to represent the inspected surface efficiently.
Out of 118 samples of the complete calibration set, 19 samples were selected as minimal number of representative samples.
The desirable minimal number of paired samples is 8-10 and it is expected that the population would have a median, be continuous and symmetrical.
Strategies were developed for the estimation of systemically available daily doses of chemicals, diurnal variations in blood levels, and rough elimination rates in subchronic feeding/drinking water studies, utilizing a minimal number of blood samples.
