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Each single dimension of the data space is partitioned into equal-sized ξ units using a fixed size grid.
The particle size distribution is represented by individual uniform distributions situated in a fixed size grid.
Grid size, grid stretching, and Reynolds number are the factors considered in evaluating the robustness of the multigrid methods.
However, the variable block size grid derivation and the related motion estimation relies on a regularization process which implies heavy iterative and inter-dependent computations.
We also consider the problem of translating a finite size grid, with m cells, in order to maximize the number of k-occupied cells.
To meet the practical purpose of geometric-type particle size grid, the primary KT scheme was extended to a general form and validated for pure growth in homogeneous systems.
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This paper studies a medium size grid-connected BIPV system mounted in an institutional building.
The mean unit size grids provide a quantitative surface that indicates the size of the input unit(s) from which population count and density grids are derived.
Accuracy and time efficiency were subsequently assessed with an anatomically realistic phantom and various size grids.
In a second step, we calculated for both 0.5×0.5 degree cell size grids a SH expansion of the total intensity anomaly.
CVT diagrams[24] have also been used for forming non-uniform size grids to better explore high-variance areas for non-parametric distributions[7].
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