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 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 ...

This can be used to calculate approximate derivatives via a first-order forward-differencing (or forward finite difference) scheme, but the estimates are low-order estimates. As described in …

Jan 8, 2009 · To calculate higher order derivatives should be done using truncated taylor series. You could also apply above mentioned class to itself -- the type for the value and derivative …

Oct 13, 2009 · 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 …

Cubic interpolation in Pandas raises ValueError: The number of derivatives at boundaries does not match: expected 2, got 0+0 Asked 5 years, 5 months ago Modified 5 years, 5 months ago …

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...

May 31, 2017 · I'm a beginner in python. I've recently learned about Sympy and its symbolic manipulation capabilities, in particular, differentiation. I am trying to do the following in the …

Jan 8, 2013 · I have determined derivatives through 2 separate methods, applying a high DoF cubic smooth spline and via first and second differences (lightly smoothed) and bootstrapping …

Jul 9, 2017 · The problem is that if we work with such small differences the precision of the output derivatives is severely limited, meaning it can only have integer values. Therefore we add …