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In this paper we show that the set of support sizes of a threefold quadruple system QS3 v) with v≡2,4(mod6) elements can have any number from [qv+14,3qv]∪{qv,qv+8,qv+12} provided v≥38, a threefold quadruple system QS3 v) with v≡0(mod6) elements can have any number from [tv+14,3qv]∪{tv,tv+8,tv+12} provided v≥42.
Circumnutation behaviour and phenotypic responses to support availability, which may determine the suitable range of support sizes, should show at least to some extent environmental and genetic control.
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Influences of support size and order of the complete basis functions on the numerical accuracy are also investigated.
To validate the accuracy of the results and stability of the present method, convergence studies were carried out based on influences of support size and number of nodes.
The stability and accuracy of the meshless kp-Ritz method is verified through comparison and convergence studies by considering the effect of support size and number of nodes.
The tens of multiplier elements are not able to meet the requirements for parallel computing (number of multipliers required is proportional to the product of support size and disparity range).
Instead of directly aggregates cost of whole support size n × n, we use a two pass approach that first pass aggregates cost along vertical direction, followed by a pass aggregating cost along horizontal direction.
In order to examine the numerical stability of the present approach, convergence studies are performed based on the influences of the support size and the number of nodes.
To validate the accuracy of stability of the present method, convergence studies were carried out based on the influences of the support size and the number of nodes.
As the average particle size is 150 μm, which is three times of the support size, and the proportion of 120~180 μm particles is more than 70% of all statistics, that was very similar to the size distribution of GO-SiO2 supports, and also, the morphology of composites repeats.
The issue of reducing the support size of the optimal design measure is also addressed.
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