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The matrix multiplication was repeated multiple times until the spectrum matches the observed spectrum.
The suitable Transform-Tanimoto value, which determines if two structures have a reference shape in common and enables alignment via matrix multiplication, was determined empirically.
The columns were mean-centered, matrix multiplication was applied, and the product matrix was diagonalized yielding the eigenvectors and eigenvalues.
The current asymptotic running time bound for this variant of matrix multiplication was given by Coppersmith-Winograd [ 24], who showed an O(n2.376) time (theoretical) algorithm.
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Quaternion multiplication and matrix multiplication is also noncommutative.
Matrix multiplication is done to obtain the weight value.
Matrix multiplication is a fundamental linear algebra routine ubiquitous in all areas of science and engineering.
Matrix multiplication is heavily bounded by memory bandwidth and less dependent on pure computing power [38].
In this paper, the matrix multiplication is chosen due to its simplicity and regularity.
Matrix operations, including matrix multiplication, are introduced, and how to execute these operations using MATLAB is discussed.
In the first step the inner computation space of the basic systolic algorithm for matrix multiplication is expanded.
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