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where e i,1,⋯,e i,M are the orthogonal eigenvectors of R xx (ω i ) indexed in descending order with respect to their corresponding eigenvalues as follows: lambda_{i,1}geqlambda_{i,2}geqcdotsgeqlambda_{i,L}>lambda_{i,L+1}=cdots=lambda_{i,M}={sigma^{2}_{n}}.
I wonder what I indexed it under.
I found the episodes, I indexed them..
I found the episodes, I indexed them... if people ever complained about quality, I was always quick to tell them to buy the DVDs and support the show.
i Indexed patterns for the middle region of the L-MnNR.
The set of Boolean variables [ N ] was partitioned into a disjoint union [ N ] = X ∪ Y, where the set X in turn was a union of pairwise disjoint sets X i, indexed by i ∈ I = { 0, 1, …, | I | − 1 }, and all of the same size m ≤ | I |.
Similar(51)
where i indexes the skeleton joints.
where t indexes the year, and i indexes the individual.
where i indexes individuals, j village, and t time.
where i indexes the individual and t indexes the survey year.
d = The number of CNP categories; the subscript i indexes the category, 1≤i≤d.
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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