Sentence examples for larger dimensional from inspiring English sources

Exact(5)

We found that the larger dimensional structure and molecular weight of HT2 enable better photovoltaic performance than that of the smaller one HT1.

The usefulness of the proposed adaptive Kriging surrogate model in terms of accuracy and efficiency for reliability assessment of engineering structural systems is shown in the paper with two relevant numerical examples, involving a highly nonlinear analytical limit state function in two-dimensions and an advanced nonlinear finite element analysis structural model in a larger dimensional space.

All analyses that involved multiple axes determined whether the alignments of planes (when only 2 PC axes were examined) or multi-dimensional hyperplanes ("flat" surfaces of >2 dimensions embedded in larger dimensional spaces) were significantly different.

Shrinking the length of any edge down to zero results in the formation of a triple branching-point, so that the orthants associated to non-binary tree topologies appear as the faces of larger dimensional orthants.

All analyses that involved multiple axes determined whether the alignments of planes (when only two RW axes were examined) or multi-dimensional hyperplanes ("flat" surfaces of more than two dimensions embedded in larger dimensional spaces) were significantly different between two populations (e.g., F2 vs. LF/TRC).

Similar(55)

In large dimensional space, there are large numbers of directions to point, so you would seem to need quite a lot of arms and legs.

Consequently, wood cells undergo large dimensional changes.

This results in creation of large dimensional constrains matrix.

This offset increases with large dimensional transmit antenna systems and high-order modulations.

In [7], we formulated a large dimensional neural mass model with the emergent phenomenon of intermittency resembling epileptic electrographic activity.

However, our pick-1-element algorithm has the clear advantage of being more computationally efficient for large dimensional sensing matrices.

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