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recently described four constructions for large sets of v−1L-intersecting Steiner triple systems of order v (STS v)) [F.
Because of their rapid calculation, they can be easily computed for large sets of molecules (e.g., drug-like compounds).
QM approaches provide accurate charges, but they are very slow and therefore not feasible for large sets of molecules.
The method has resulted in some powerful recursive constructions and also existence results especially for large sets of prime sizes.
However, the presented models are designed to be applied on a broad scale for large sets of plots, which will result in averaging out such errors.
We also discuss optimization techniques for finding (mutually disjoint) cyclic designs and prove an extension theorem for large sets of designs.
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As a European-trained military leader, Montcalm's instinct was for large, set-piece battles in which regiments and soldiers moved in precise order.
For large, set stains, this may be necessary.
This implies that relaxed graph contrast results, for larger sets, yield lower values than relaxed set contrast results.
In our recent survey [2], we demonstrated that GMMs outperform the Bayesian classifier for small training sets; however, for larger sets, the latter was more accurate.
However, even infants are known to have an internal counting system up to the number 4, and for larger sets of objects, they can estimate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com