Sentence examples for vector since the from inspiring English sources

Little is known about the pollination of Triuridaceae, although it is probably accomplished by some insect vector since the flowers have attractive structures and emit a fragrance.

Their difference \(\delta v^{\,i}_{p}(x)\) is not a vector since the vectors lie in the different tangent spaces \(T M_{p})\) and \(T M_{q})\), respectively.

In order to be able to compare the visits of recipes and ingredients, we normalize the entropy by the logarithmic length of the vector since the number of recipes is much higher than the number of ingredients.

Apparently, its eigenvectors should have the form of [ρ Mi v T,v T ] T where v T =[v1,…,v L ] T is a nonzero vector, since the lower half of Φ M is [IL×L,0L×L].

So we got in touch with artist Julia Sinelnikova, a.k.a., The Oracle, who has been collaborating with Brine on VECTOR since the beginning.

Trypanosomes have been shown to rely on mitochondrial metabolism only in the insect vector since the absence of kDNA has been shown to hamper mitochondrial development.

And the "fault" — if that's the word — often lies just as much with the victims as with the vectors, since, as in syphilis's case, they are careless about whom they cavort with, and with cholera, they must lack good sanitation for it to spread.

We have not derived a training set or a probabilistic model specifically for the residual vectors since the extremely high residual vector dimensionality would make this impractical.

The convergence performance to the exact ground state is improved by increasing the number of correction vectors, since the volume of the search space for a one-electron wave function increase with increasing N c.

GMM and Gaussian distributions with full covariance matrices are not suitable for modeling large dimensional random vectors since the number of free parameters of these models is of order O d2) relative to the dimension d of input random vectors.

Next, for each data set, we have solved the following seven optimization problems, one for each operating point set: min_{mathbf{v}inmathbb{R}^{n}} left{ f_{p}(mathbf{v}) : mathbf{v} in P right} (p=1, ldots, 7), where P=conv V), and V consists of a subset of the initial 875 n-dimensional vectors, since the approach we adopted is a point-by-point one.