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The two distances are then combined to form a GLMD based cost matrix which provides a flexible way to estimate correspondences by minimizing global or local structural differences using a linear assignment solution.
Under the large Doppler scenario, we propose the use of a cost function based on the hit-matrix which offers a significantly lower computational complexity as compared to an ambiguity based cost function, with no loss in code performance.
MMDT simultaneously learns the projection matrices along with the classifier parameters and performs optimization on both through a classification loss based cost function.
transceiver based cost functions.
Optimized parsimony and (non-parametric) bootstrapped trees were found by nearest neighbor interchange with a cost matrix based on the difference between pathprint scores.
Matrix, based in Denver, provides financial services through divisions that include Matrix Capital Bank and Matrix Financial Services.
As a consequence, matrix based methods, like for example the Newton Raphson algorithm coupled with a direct inversion of the Jacobian matrix, lead to computational costs too large in terms of both memory and execution time.
In this paper a new methodology to compare optical switching matrices based on different wavelength converters sharing strategies is presented, which introduces component cost evolution in time.
Briefly, pairwise correlation matrices based on Pearson correlations between all pairs of proteins were constructed.
In Section 5, using a hit-matrix-based cost function, we use simulated annealing to search for the best frequency-hopping codes under the large Doppler scenario.
We present a number of examples to demonstrate the effectiveness of the hit-matrix-based cost function in designing good frequency-hopping codes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com