In general, the intent of the Stineman interpolation is not so much to
follow certain mathematical criteria, but more to provide a "visually
pleasing" smooth interpolation. In other words: the interpolated curve
typically is what the human eye would choose as smooth interpolation. It
gives "goo
Hi,
Given that the values of ordinates are changing monotonically, I found that
in some cases, stineman interpolation is monotonic even when the slopes are
not monotonic. And in other cases, it overshoots. Like in the following one:
x = (0, 10, 70, 100)
y = (0, 535, 595, 1000)
xx = arange(0,100,1
