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Methodologies of interpolations were developed to produce 1 h data with the 3 h data.
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Section 4 gives the methodology of the interpolation technique.
Fig. 4 Effect of interpolations.
a '# int' denotes the number of interpolations.
Fig. 6 Illustration of interpolation.
RIFT is free of interpolation and can avoid errors introduced by interpolation.
where h is the length of interpolation.
While the Taylor-like interpolation leads to numerical ill-conditioning as the order of interpolation increases, the Lagrangian interpolation is shown to overcome this numerical problem.
It reviews the concept of interpolation and shows how the interpolation problem is implemented by a radial basis neural network.
Although relatively fast, linear interpolation introduces a large amount of interpolation error.
The computational approach allows free choice of interpolation schemes.
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