Spline Interpolation on a 1-D Lookup Table
Spline interpolation is a method of interpolation that results in values that vary smoothly rather than in a piece-wise linear manner (see https://en.wikipedia.org/wiki/Spline_interpolation). In GoldSim, Lookup Tables contain a set of discrete points (independent-dependent variable value pairs) that are assumed to vary linearly or logarithmically between points (depending on the interpolation setting). This model implements a spline interpolation method to generate dependent variable values from a 1-D Lookup Table that vary smoothly over the range of independent variable values. Run the model and open the Time History element ('Compare Spline and Linear') to see a comparison of interpolation results.
NOTE: To use a different data set length, it is necessary to change the array label set size accordingly.