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[ C2] Proportion distribution constraints i. from[2] (see (24)) ∑ j = 1 N s C z ∑ k = 1 N c C z λ M j C z, C k T 1 = 1 (34) i.
This is because of the inherent constraints I mentioned earlier.
"But given the constraints, I welcomed the funding I got".
Given the political constraints, I think it was reasonable to move in the direction they did.
"Free from Chomskyan constraints, I was able to imagine new relationships between grammar and culture".
Given those constraints, I think they've done a hell of a job".
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This time (for time-constraints) I chose to see just one, Kerem Topuz' The Movie, which was alternately fresh and dynamic, and collegiately offensive.
and is subject to the constraints ∑ i = 1 c μ i k = 1 ∀ k ; 0 ≤ μ i k, t i k ≤ 1 with the constants a > 0, b > 0, m > 1 and η > 1.
This is also an integer programming problem: find the binary membership vectors x and y that jointly maximize H A under the constraints ∑ i = 1 n x i = K 1 and ∑ j = 1 m y j = K 2. However, there are several major drawbacks to this discrete formulation.
The constraints ∑ i = 0 m ν n i x n i ≤ F n ≤ ∑ i = 0 m μ n i x n i ; ∀ n ∈ N 0 have been used in order to simplify the discussion.
subject to two constraints: ∑ i = 1 N y i = 0 and 1 N ∑ i = 1 N y i T y i = I, where I is the d × d identity matrix.
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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