Mar 26, 2012 · How do I calculate the derivative of a function, for example y = x2+1 using numpy? Let's say, I want the value of derivative at x = 5...

May 18, 2015 · Is there a way to get scipy's interp1d (in linear mode) to return the derivative at each interpolated point? I could certainly write my own 1D interpolation routine that does, but …

May 30, 2013 · How do I compute the derivative of an array, y (say), with respect to another array, x (say) - both arrays from a certain experiment? e.g. y = [1,2,3,4,4,5,6] and x ...

Nov 28, 2010 · The only sites taking the derivatives into account are Ińigo Quilez's site and a related GameDev.net discussion. The problem is that in the first link the noise is value based, …

Apr 23, 2017 · I'm trying to get a hold on how to work with splines in Eigen, specifically I want do find the value of the spline interpolation and its first and second derivatives in some point. …

I'm trying to take a second derivative in python with two numpy arrays of data. For example, the arrays in question look like this: import numpy as np x = np.array([ 120. , 121.5, 122. , 12...

53 I've been looking around in Numpy/Scipy for modules containing finite difference functions. However, the closest thing I've found is numpy.gradient(), which is good for 1st-order finite …

Oct 17, 2017 · How is the derivative of a f(x) typically calculated programmatically to ensure maximum accuracy? I am implementing the Newton-Raphson method, and it requires taking of …

May 14, 2018 · For higher order derivatives, you can repeatedly call jacobian or grad while maintaining the computational graph: create_graph (bool, optional) – If True, graph of the …

Jul 22, 2014 · I am slowly moving from C to Python. This time I need to calculate partial derivatives numerically from a grid given. I know how to do it in C, so at the moment I just use …