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Multi-objective optimization technique and Genetic Algorithm were used for computing the optimum values of design parameters.
The rest is used for computing.
This algorithm is used in clinical practice and is, to our knowledge, the most efficient algorithm for computing foot-to-foot PWV.
The quasi-Newton algorithm is used for the minimization, and the gradients are computed with an adjoint-state method.
One more fast computing Back Proportion algorithm is used for train the network in this work.
Note that KZ1 algorithm can be used for computing occlusions as well since it produces depth maps for both the left and the right images.
The R package lars (version 1.1) was used for computing the Lasso algorithm.
The monoisotopic peak heights computed by the Xtract algorithm were used for calculating the relative quantities of the TTR isoforms.
The Unifrac algorithm was used to compute the unique fraction of branch length for each sample.
The limma algorithm was used to compute a linear model fit [32].
Fortunately, some of the machine learning algorithms (e.g., population-based algorithms) can essentially be used for parallel computing, which have been demonstrated for several years, such as parallel computing version of genetic algorithm [122].
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