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Discover Ludwig'support points' is a correct and usable phrase in written English.
It can be used when introducing a set of points which will be used to support an argument or a particular point of view. For example, "These are the main support points for why we should introduce a new policy:..."
Exact(58)
Upper bounds for the number of support points are derived.
Designs with minimum number of support points may not always be suitable in practice.
Typically, the number of their support points depends on the prior knowledge for the model parameters.
A detailed study on the effect of different distributions of the so-called support points is performed.
The main result shows that in most cases, the number of support points of the D-optimal design is k+1, while in other cases, the D-optimal design has k+2 support points.
The accuracy of the failure probability predictions is characterised as a function of the number of support points, dispersion of the support points in relation to the so-called design point and order of the Kriging basis functions.
Support points are flagged in a quick fashion by examining the curvature of the ridges of all similar minutiae types.
Finally, this enables us to determine Taylor expansions for the support points of the D-optimal design.
We observe that barycentres of depths 0 and 2 are possible support points for an A-optimal design.
Similar(2)
Anonymised quotations from interviewees are included to support points raised.
For nodal support points, these are the degrees of freedom of all surrounding elements.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com