Differences
This shows you the differences between two versions of the page.
| Next revision | Previous revisionLast revisionBoth sides next revision | ||
| documentation:language_reference:objects:interpolatingfunction:start [2018/09/26 11:43] – created Simon Heinze | documentation:language_reference:objects:interpolatingfunction:start [2018/09/26 12:12] – Martin Brass | ||
|---|---|---|---|
| Line 3: | Line 3: | ||
| ### | ### | ||
| - | alligned paragraph text | + | 1D interpolation is currently implemented using cubic splines. Further methods will follow. An interpolating function can be evaluated at a given point or on a set of points, which gives a speed boost, if these points are in ascending order. Higher order derivatives of the interpolating function can also be evaluated. |
| ### | ### | ||
| Line 9: | Line 9: | ||
| ### | ### | ||
| - | description text | + | |
| ### | ### | ||
| ==== Input ==== | ==== Input ==== | ||
| <code Quanty Example.Quanty> | <code Quanty Example.Quanty> | ||
| - | -- some example code | + | x = {1,2,3} |
| + | y = {1,4,9} | ||
| + | f = InterpolatingFunction.Spline(x, | ||
| + | |||
| + | f(2.5) | ||
| + | n = 1 | ||
| + | f(2.5,n) --evaluates the n-th derivative of f at 2.5 | ||
| + | |||
| + | f({1.2, | ||
| </ | </ | ||
| ==== Result ==== | ==== Result ==== | ||
| <file Quanty_Output> | <file Quanty_Output> | ||
| - | text produced as output | + | Try it yourself ;) |
| </ | </ | ||
