This reveals that, for a such time series data with non-linear trend when missing values are not sequential, linear interpolation and linear spline interpolation brings a better estimate than linear regression.
This reveals that, for a such time series data with non-linear trend when missing values are not sequential, linear interpolation and linear spline interpolation brings a better estimate than linear regression. 2. Figure 4 shows that the plot of error due to linear spline interpolation is closer to the horizontal error free line than the plot of error due to linear regression.
And then, the pitch contour is formed using units in foreground and followed by sequential linear interpolation, more details can be found in [9].
The design optimization approach is based on the Response Surface Method (RSM), which is used in conjunction with Kriging interpolation and Sequential Quadratic Programming (SQP) algorithm.
This paper describes a new numerical method for the design of multi-step stamping tools, in which the optimization approach is based on the Response Surface Method (RSM) with Kriging interpolation as well as the Sequential Quadratic Programming (SQP) algorithm.
This study investigates the differences between using a non-linear global surrogate model (namely, least-squares support vector machines) and a linear piece-wise surrogate model (namely, linear nearest neighbour interpolation), as well as the use of sequential sampling algorithm as a means of improving overall surrogate accuracy.
The code is a parallelized version of a well-benchmarked sequential plasma PIC code which uses quadratic field and charge interpolation and an FFT-based Poisson solver.
To minimize distortions due to the interpolation step in rigid transformations, one wants to reduce the number of sequential transformations for the original subtomograms.
The effect of spatial interpolation errors was assessed by generating 100 realizations of the land characteristics by Sequential Gaussian Simulation.
To account for interpolation uncertainty, maps of predicted pesticide leaching risk were produced by the method of sequential Gaussian simulation.
Sequential Gaussian simulation (SGS) (Deutsch and Journel 1998) is one of the popular geostatistical algorithms used for interpolation of continuous variable in reservoir modeling.
