goog.math.interpolator.Spline1

Computes the derivative at each point of the spline such that the curve is C2. It uses not-a-knot boundary conditions.

Note that the inverse of a cubic spline is not a cubic spline in general. As a result the inverse implementation is only approximate. In particular, it only guarantees the exact inverse at the original input data points passed to setData.

Computes the interpolated value at abscissa x. If x is outside the range of the data points passed in setData, the value is extrapolated.

Sets the data to be interpolated. Note that the data points are expected to be sorted according to their abscissa values and not have duplicate values. E.g. calling setData([0, 0, 1], [1, 1, 3]) may give undefined results, the correct call should be setData([0, 1], [1, 3]). Calling setData multiple times does not merge the data samples. The last call to setData is the one used when computing the interpolation.