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These domain specific languages (DSL) often need matrix, vector or sparse matrix operations such as OpenGL, TensorFlow and P4.
Moreover, both the ML and LP solutions need matrix operations, the corresponding is around N×N.
This implies a computational load of (mathcal {O}(n^{3})), where n is the number of neighbours plus 1. Also, we need matrix product, which has the same computational load in our implementation.
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In this algorithm we just need matrix-vector multiplication, so the generalized inverse A † can be computed efficiently.
Since DCT/IDCT core needs matrix transposition, we propose an orthogonal transpose memory scheme that satisfies horizontal and vertical signal transfer.
Thus, BH3 mimetic peptide needs matrix remodeling to release the second pool of cytochrome c [18].
This can be determined directly mathematically, once the stationary state is computed, and only needs matrix vector product computations.
Methodology: The conceptual framework for collecting data to meet the defined TOR tasks was to construct an "information needs" matrix so as to pinpoint the type of information gathered from each data source.
In our formulation, we need the matrix elements of the antisymmetrized two-body t-matrix.
We need a matrix approach served under one unifying, highly promoted brand.
One advantage of this method is that it does not need complicated matrix operations, so the computation cost can be reduced.
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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