Hello guys Im looking for a way to integrate functions in log(x) space. Scipy offers integration but cant find how to use them in log(x) space. My equation is enter image description here i tried to substitute log(x) into x and change entire equation, but after integrating in scipy, it shows an error (34, ‘Result ..
I have a dataset consisting of many points (around million~trillion), which maps [x1, x2, x3] to a vector [y1, y2, y3] I want to compute Riemann Sum of this function. I don’t know if this helps, but all x1, x2, x3 are bounded by [0,1]. Is there a Python module or a simple way for ..
I’m currently trying to solve the following equation for x: 3.17e-2 – integral from x to 215 of [(10.^(8.64/x) / (480.1 – 10.^(4.32/x))^2)]dx = 0. (sorry for writing the equation in such a crude way, I wasn’t sure on how to insert latex on here) so far I’ve come up with this: import scipy as ..
While using integrate in the scipy module, I notice that the values of the integral do not match with the expected value (which I computed by hand). I have a simple function as follows: import math def integrand(x, L): return (math.cos(sc.pi * x / L))**2 L=10 I = quad(integrand, 0, 1, args=(L)) I = 0.9677446418943196 ..
I have to fit a fairly complex function to the data of an experiment and so far I get values that makes no sense. The function looks like this function. I have tried the following: R0 = 2.5e-9 def integrand1(r, args): t, W0, n = args return 4*pi*n*W0*np.exp(-2*r/R0)*np.exp(-W0*np.exp(-2*r/R0)*t)*r**2 def integrand2(r, args): t, W0, n = ..
I’ve been trying to integrate functions with SymPy in Python, but some are not evaluating properly. There’ve been two problematic scenarios that have been occurring for me: ‘expr not of form a*x**b: %s’ — one example of this is with from sympy import * x = Symbol(‘x’) f = 1 / (25 + x**2)**(3/2) print(integrate(f, ..
I’m trying to compute an integral from z to 0. The same problem has been asked and answered previously here: Integral with variable limits in python However, they integrated from 0 to z. I need to do the same integral, but from z to 0. I followed the answer, but I’m unable to reverse the ..
I have a code which calculates the overlap between the two data. columms = Ex.columns.values == Ey.columns.values rows = Ex.index.values == Ey.index.values length = Ex.columns.values.astype(‘float64’) height = Ex.index.values.astype(‘float64’) E_overlap = Ex.copy() for i in range(length.size): for j in range(height.size): if i + 1 == length.size: dx = length[i] – length[i – 1] else: dx = ..
i have made a program that makes an approximation of the integral with Gaussian Quadrature method. My code is: import numpy as np def gaussian_quadrature(f, n): x, A = np.array(np.polynomial.legendre.leggauss(n)) a,b = 0,1 result = 0 for i in range(0, n): q = ((b-a)*x[i] + a + b)/2 p = ((a-b)*x[i] + a + b)/2 ..
I want to run an integral for different values of "e" and "m" and put the results in a list. m =[0.14, 0.14, 0.14, 1.30, 4.50] e = [2/3, -1/3, -1/3, 2/3, -1/3] def f(z, r): return ((e)**2)*(alpha_elm*Nc/2*np.pi**2)*(4)*(Q2)*(z**2)*((1-z)**2)*((scipy.special.k0(r*(z*(1-z)*Q2 + (m**2))))**2) integrate.nquad(f, [[0, 1],[0, np.inf]]) how can i do that? Source: Python..