Sentence examples for sufficient random from inspiring English sources

Exact(3)

Intuitively, Eq. (4) is stochastic, and based on numerical evaluation, we should generate sufficient random hyperplane to achieve more satisfactory approximation.

The parameter optimization may apply a proper difference evolution algorithm (EA), supplied with sufficient random mutations to prevent a parameter adjustment convergence before a desired error reaching [9].

About 5% of the families segregated for albino plants (Additional file 1), which suggested that the mutant population contained sufficient random point mutations and was suitable for screening.

Similar(57)

Furthermore, given the sufficient randomness of the Gaussian random measurement matrix elements, the reconstruction performance of the five reconstruction algorithms under the Gaussian random measurement matrix are better than those under the Bernoulli random measurement matrix.

Hence, they prefer a sufficient GPU random sequence generator instead.

21 28–30 31 There was not sufficient information about random allocation used in most studies as only 3 of these (33%) described random allocation 21 29 31 and only 33333%) provided sufficient information about allocation concealment at the time of outcome assessment.

Averaged over a sufficient period, such random changes accumulate at a constant rate in neutral genes.

In other words: if a sufficient number of random people tweet at and e-mail a Prime Minister asking for a monetary commitment to eradicating polio or increasing access to education for girls, then the Prime Minister might rise to the occasion, particularly if the alternative is to keep receiving e-mails and tweets.

This is achieved by aplying a sufficient number of random perturbations to determine the statistical distribution of the performance.

However, fBm is not sufficient for some random phenomena, so many researchers have chosen more general stochastic processes to construct stochastic models.

The reason for these results is that a sufficient intensity of random diffusion can better balance the overmatching of resources or even a net loss of individuals at the boundary.

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