Is there any library or open source function that approximate the area under a line that is described by some of its values taken at irregular intervals?
Generally speaking when you are numerically evaluating and integral, say in MATLAB do I just pick a large number for the bounds or is there a way to tell MATLAB to \"take the limit?\"
I want to numerically integrate the following: where and a, b and β are constants which for simplicity, can all be set to 1.
I a开发者_开发技巧m trying to numerically integrate a Generalized Normal Distribution. I expect the area under it to be 1. What I get is -1. Why is it like this?
I am trying to speed up my Python by translating it into Cython. It uses the function scipy.integrate.quad, which requires a python callable as one of its arguments. Is there any way 开发者_StackOverf
Let D be the area bounded by a series of points {x_i,y_i} (1<=i<=N).(The area need not to be convex and the points are supposed to go along the boundary curve.)
I was wondering if anyone knew of a numpy/scipy based python package to numerically integrate a complicated numerical function over a tessellated domain (in my specific case, a 2D domain bounded by a
I\'m relatively new to python and scipy, being a convert from MATLAB. I was doing a quick test of the odeint function in scipy.integrate, and came across this potential bug. Consider the following sni
I\'m looking to integrate this expression: However I seem to be having problems setting up the function.As outlined in this MATLAB explanation, I\'ve defined a separate function named \'NDfx.m\' whic
Suppose you have a general shape defined by a bunch of coordinate points that form something that looks like a circle, ellipse, or general closed curve - how do you find the a开发者_Python百科rea boun
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