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This section will provide the details on the architecture that performs the arrowing function of the algorithm.
The problem is formulated as finding solutions to a cost function of the algorithm performing mapping and scheduling under strict constraints.
The main function of the algorithm is the optimization of the generated sub-queries to be sent to the cluster and search space reduction.
Distance Metrics: In many multivariate algorithms the distance between observations (spectra) is an important part in defining the objective function of the algorithm.
The time function of the algorithm ({mathcal A}_{mathrm {no}}) can be estimated in terms of the depth function introduced by Bou-Rabee [9].
The choice of the kernel function of the algorithm fell on Radial Basis Function (RBF), as shown in previous experiment on the same chemical set [20].
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The major functions of the algorithm are: (mathtt{Heuristic } u,v)): The heuristic function estimates the distance between two nodes (u) and (v).
This paper discusses the internal mechanisms and functions of Electimize, the effective initialization of optimization parameters, and how the functions of the algorithm interact together to generate the solution.
For proper functioning of the algorithm, it must be ensured that all robots never leave their regions of allocated markers and, as these regions reduce, their movements also decrease.
On the contrary, localization microscopy usually needs an additional means of optical sectioning, such as TIR or spinning-disk confocal illumination, in order to avoid an increased overlapping of single emitters and to ensure a correct functioning of the algorithm.
The objective function of this algorithm is constructed using the spectrum information of the reflected waves at the mud casing interface.
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