Sentence examples for point spatial from inspiring English sources

Exact(4)

However, it was also observed that if most traffic goes to and from an access point, spatial reuse alone does not lead to an increase in network throughput [5].

Unlike previous alternating direction methods of order higher than one, which only deliver unconditional stability for rectangular domains, the new high-order FC-AD (Fourier-Continuation Alternating-Direction) algorithm yields unconditional stability for general domains at an O(Nlog(N)) cost per time-step for an N point spatial discretization grid.

Let d t be the measured data point (spatial position or angle value) at time t.

The kernel R in equation (9) corresponds with the two point spatial correlation function, defined as follows: (10) R = 1 ℓ ∑ j = 1 ℓ x (ξ, t j ) x (ξ ′, t j ). with x(ξ t j ) denoting the value of the field at each instant t j and the summation extends over a sufficiently rich collection of uncorrelated snapshots at j = 1,⋯, ℓ[ 34].

Similar(56)

Finite-difference (5-point) and finite-element (9-point) spatial approximations are compared for different grid aspect ratios.

In all cases, the use of multi-point spatial derivative approximations are explored to find an optimum.

The presented framework is based on low dimensional representation of material structure obtained through principal component analysis (PCA) of 2-point spatial correlations.

It is shown that REV, REA and mean pore and grain size are effectively estimated using the two-point spatial correlation function.

Alternatively, one can identify a weighted set of statistical volume elements (WSVEs) that captures selected dominant components of n-point spatial correlations of the microstructure to prescribed accuracy.

In addition, LES data for the two-point spatial correlations of velocity fluctuations that provide structural information were computed and compared with PIV data.

We then utilize 3-D CNN learned features as estimators of higher-order spatial correlations, and formulate an integrated framework combining 3-D CNN features with 2-point spatial correlations.

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