Quite a bit has happened since last time: Adaptive Gauss-Kronrod quadrature which should work well for a wide range of 1D integrals.
More (lower order) ODE integrators have been implemented, mostly for benchmarking integrators of different order (and of course for fun ;)). JoegottabeGitenme <https://github.com/JoegottabeGitenme> has made some awesome contributions when he added 1D optimization. The methods he introduced was: steepest_descent, conjugate_gradient, newtons. Thank you very much for you kind contributions! :-D The latest release brought interpolation into the mix with Natural Cubic Splines. They are piecewise polynomials of degree 3. All you have to do is provide a list of x-values and a list of y-values and then you can evaluate the spline. To find with interval the provided point lies in we use binary search. The spline does also have converters to procs and to be compatible with the rest of NumericalNim. I did also change the operators for the vectors accordningly to the discussion in the Manu thread
