Your English writing platform
Discover LudwigExact(33)
The only method we used to calculate distances for the HCA is the squared Euclidean distance; it doesn't use the typical Euclidean root square, which in such cases could alter values, in particular it can increase them with the strongest effect on the greatest distance.
The models were tested to select the one better fitting the experimental data in terms of mean root square error (MRSE).
Both models were able to describe the system adequately, root square mean deviations (RMSD) of 1.34% and 0.89% were obtained respectively.
The PDOP can always reach the theoretical minimum the root square of 9/n, and there are infinite solutions for n > 4.
As the case with five known points concerned in this paper, the current knowledge indicates that the GDOP can reach the minimum the root square of 2, but our discussion shows that the GDOP minimum with five known points cannot get the theoretical minimum the root square of 2, although there are infinite positioning configurations with the lowest PDOP.
Many literatures have pointed that the GDOP (Geometric Dilution of Precision) minimum in 3-D positioning is the root square of 10/n where n is the total number of GNSS satellites or ground-based beacons with known coordinates.
Similar(27)
And this is square root squared, so that cancels.
The root squares for the consumption curve fittings were ≥ 0.98.
Experimental results show that the mean-root-square error from the formula is less than 5%.
For a near-coplanar case, and for grids with 213 points or less, we find root-square-mean-errors (RMSEs) that are as much as 6 times smaller.
Let (m=Q) be the root-square mean.
Write better and faster with AI suggestions while staying true to your unique style.
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