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The two following formulations are designed to overcome this limitation.
Then, in virtue of (3.20), we have the following formulations for any matrices,, with appropriate dimensions: (3.21).
Notice that the matrix V is represented as (1) rather than V = W H commonly used in NMF-related literatures to make the derivatives of following formulations more readable without loss of generality.
For this purpose, the following formulations are presented: Min Z = ∑ j 1 - ρ j u j + ∑ k ∑ j ∑ i C i a ij X ik 1 - Y jk + ∑ k ∑ j ∑ i U ij X ik Y jk 1 - a ij + ∑ k ∑ j ∑ i h i a ij X ik Y jk n p i Open image in new window (1).
The following formulations show how to generate the initial chromosomes in each group: Deviation: Chr g, c [p] = random[σmin, σmax], where p = 2, 4, …, 2 n ; g = 1, 2, …, P s i z e ; c = 1, 2, …, N C, (15).
The following formulations assume an underlying mean treatment effect, coming from a population of treatment effects.
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The following formulation appears as the first entry in Martin Gardner's "The Colossal Book of Mathematics: Classic Puzzles, Paradoxes, and Problems".
Therefore it forms the following formulation: (21).
For simplicity, the index is omitted in the following formulation.
This can be done by the following formulation, frac{d{rho}^K}{d{ A}^K}=0 (7).
The following formulation provided for PC with priority for a predefined service level (named ɛ).
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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