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The implementation of the computation, analysis, and visualization step is a combination of interactive computing (Goldin et al. 2010), knowledge discovery (Fayyad and Stolorz 1997), information visualization (Card et al. 1999), and visual analytics (Wright 1997; Heer and Shneiderman 2012).
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Note that the presented data concerns only to the implementation of the transform computation module(s) of the considered transform cores.
Preferred parameters of the implementation of the reference value computation can be found in Table2.
While the filtering techniques are quite standard, the implementation of the z-score computation is a specialization of a non-trivial implementation by Sinha and Tompa, used for motif discovery [ 19].
In this case, the implementation of the controller requires the computation of Lie derivatives, which have been computed symbolically.
That is why the implementation of the algorithm must manage the computation lines block.
The negative effects of the less frequent gross errors are eliminated with the implementation of the Welsch robust estimator, avoiding the computation of biased estimates and implementation of iterative procedures for detection and removal of gross errors.
Then, we initialize the Lagrange multiplicators as follows: λ = ε ( C ( z, u ) − a ) − 1, μ = ε ( b − C ( z, u ) ) − 1 For the implementation of the penalty parameter ε and computation, we used the following strategy [39]: ε k + 1 = ε k / a, a > 1 For each iteration of the interior point method, the algorithm found an optimal solution.
The use of Hamilton's Principle in determining the governing partial differential equations of motion for such problems as the free vibration of complex elastodynamic systems has been known for many years, but the implementation of the integration procedure using symbolic computation does not appear to have been solved.
We describe here the implementation of the point-projector, i.e., the computation of the sinogram values (mathrm {sino}[k]) for (k in [0, N_s]).
The implementation of the ITDT requires some additional computations on correcting the time-dispersion error, but it allows us to use the maximum temporal interval under stability conditions; thus, its final computational efficiency would be higher than that of the traditional symplectic integration method for long-term simulations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com