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By using the multivariate interpolation, the computational time of the solving algorithm is reduced.
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We use the multivariate control charts in the detection task.
In this paper, we use a multivariate interpolation method to compute the operation cost for the TEP problem in which the demand changes from hour to hour and the fuel price from day to day.
For any point inside the domain, we evaluate the velocity by nearest neighbor interpolation using the interpolation table.
The corresponding values using the spatial interpolation model were 81%and73%3%.
This is accomplished by using the interpolation module in SciPy (specifically LSQUnivariateSpline).
In a first step, we define the functions (3) by linearly interpolating the functions B i using the technique of multivariate polynomial interpolation as explained in the Methods section.
Many authors use the linear interpolation, with advantages related to rapidity and simple implementation [ 4 ].
Area Under the Curve (AUC) values were computed using the Linear Trapezoidal, Linear Interpolation rules.
Two derivative free optimization algorithms, the DFO and CONDOR are considered, they are implementations of trust region based derivative-free methods using multivariate polynomial interpolation.
For PR curves, however, none of the previous packages uses the more accurate interpolation of Davis and Goadrich (2006) or the continuous interpolation of Boyd et al.
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