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Using this norm, we can define the distance between two points in ({mathbb{H}}^{n}) in the natural way: {{d}_{mathbb{H}}}(xi,eta)={{ biglvert {{eta}^{-1}}circxi bigrvert }_{mathbb{H}}}, where (eta^{-1}) denotes the inverse of η with respect to the group action ∘, that is, (eta^{-1}=-eta).
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We used this norm to evaluate the pattern of stress generated.
We propose the ISC similarity measurement in Eq. 7. In this equation, instead of using (L_1) norm, we use the square root of (L_1) norm.
We made the choice to use this COPD norm group as we wished to compare the long-term health status of Q-fever patients (who often suffered a pneumonia initially) with another group of patients with a known impaired health status.
No data was stolen from official US networks using this exploit, said Norm Laudermilch from Invincea.
Using norm-to-norm continuity of, we get that (3.7).
Using norm-based scores, we compared the HRQOL of patients with a sample from a general population.
As a matter of fact, due to the equivalence of norm, we can use any norm here.
Using the norm as comparative level is useful and easy.
Throughout this paper, we will use the norm (|cdot|) in E. As usual, for (1leqnu
In this paper, we use the norm defined in (2.3), which is an equivalent norm in E p × p with norm (2.4).
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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