The phrase "approximating them to" is not correct in standard written English.
It is typically used when discussing the process of making something closer to a certain value or condition, but the preposition "to" is not appropriate in this context.
Example: "The researchers are approximating the results based on previous studies."
Alternatives: "approximating them with" or "bringing them closer to".
This distinction is made in light of the fact that fitting kinship effects (as opposed to approximating them with, e.g., sibship effects) can incur significant additional computation.
Real agglomerates are highly irregular, and approximating them by independent spheres could give rise to errors.
It is now possible to fit the values instead of approximating them as it is the case with linear functions.
Electronica tends to draw on disparate sources, many so electronically modified that approximating them persuasively with orchestral instruments is impossible.
We're never solving the fundamental equations we're always approximating them.
Then for each one of the 726 input vectors the training begins: the column vector W(I,J,k) most similar to it is searched, and modifications of the W(I,J,k) elements and (with less intensity) also of W i,j,k) neighbour columns, are calculated (but not applied) to approximate them to the input vector 5BLC k L.
The SIFT and PPH2 FISs underwent a logit transformation to approximate them to a normal distribution.
In a press release, Privacy International sums up the IPT's findings thus: "The Tribunal ruled that "we are not satisfied that … there can be said to have been an adequate oversight of the BCD system, until after July 2015" with "no Codes of Practice relating to either BCD or BPD or anything approximating to them".
28 The populations in the two studies 21 27 for which we calculated the mean and standard deviation were sufficiently large for us to approximate them to a normal distribution according to central limit theory.
They consider continuous distribution functions (normal and gamma distribution) to describe uncertain parameters and apply Monte-Carlo sampling-based techniques, sample average approximation (SAA), to approximate them by discrete set of scenarios.
