Sentence examples for vector which makes from inspiring English sources

Unfortunately, the number of PDD terms grows exponentially with respect to the size of the input random vector, which makes the computational cost of standard methods unaffordable for real engineering applications.

The number of terms to be computed grows dramatically with the size of the input random vector, which makes the computational cost of classical solution schemes (may it be intrusive (i.e.of Galerkin type) or non-intrusive) unaffordable when the deterministic finite element model is expensive to evaluate.

For each frame, the system calculates a feature vector, which makes it easier for the machine learning module to learn the internal characteristics behind raw signals.

As analyzed above, in a CRN every band contributes only a few non-zero value, so x is a sparse vector which makes it possible to use CS theory to reconstruct spectrum of signals.

The nonploar behavior of the E2 mode did not result in any noticeable change in the incident polarization vector, which makes this a good candidate in order to study the interplay between the local phonon behavior and geometric anisotropy of a single ZnONW using the in situ Confocal Raman mapping technique.

After building an augmented system state by concatenating the parameter vector and the state vector, the joint estimation of states and parameters reduces to filtering of the augmented state vector which makes SMC methods directly applicable to the problem.

Many of these biological agents were developed and tested at several sites: the State Research Center of Virology and Biotechnology, known as Vector, which made deadly viruses in Siberia; the State Research Center for Applied Microbiology, at Obolensk, near Moscow, where lethal bacteria were perfected, and Stepnogorsk, the germ factory in Kazakhstan, which specialized in deadly anthrax.

In the phasor diagram, the geometrical relation between the vectors, which makes the analysis clear and simple, expresses all of these complex functions.

In this case, the neighbourhood of a test instance located close to the boundary is more likely to be dominated by negative support vectors, which makes decision function more likely to classify an instance located close to the boundary as a negative instance [ 41].

Second, the support vectors, which make the hypersurface highly convoluted, are excluded from the training set.

The system captures aspects of a scene, including object shapes, positions, and colors, using a vector representation, which makes it relatively efficient.