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To do this, we distorted the entire pattern of fixations by multiplying a distortion matrix by all the fixation vectors.
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The effect of the distortion was removed from the rotated impedance tensor by multiplying the inversion matrix of the distortion tensor with the impedance tensor.
The effect of the distortion was removed from the rotated impedance tensor by multiplying the inversion matrix of the distortion tensor and the impedance tensor.
As mentioned above, a poor calibration of the eye-tracker was simulated by multiplying the coordinate vector of each fixation by a distortion matrix.
Multiply A by itself, multiply B by itself, and add the two numbers together; this gives you C^2.
Multiply a range of numbers together by another number.
Spectrum bias refers to distortions in a diagnostic test's performance caused by a distortion in the study population.
So each CU is first encoded to generate a rate-distortion cost of a no split coding: {J}_{mathrm{NoSplit}}=D+lambda.R, (18 where D is the distortion generated by the CU encoding, λ is a Lagrangian multiplier and R is the bit consumption.
A caricature is by definition an exaggeration, a distortion, unfair.
Up to multiplying by a constant, we assume that (C_1=1).
Multiply C by itself, multiply A by itself, and subtract the second result from the first; this gives you B^2.
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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