math - Implementing the Backwards Euler method in python to ...
stackoverflow.com › questions › 59348497Dec 15, 2019 · ### Backwards Euler Method def backwards_Euler(function, y_matrix, time): y = np.zeros((np.size(time), np.size(y_matrix))) y[0, :] = y_matrix dt = time[1] - time[0] for i in range(len(time-1)): err = 1 zold = y[i] + dt*function(y[i],time[i]) ## guess with forward euler I = 0 while err > 10**(-10) and I < 5: F = y[i] + dt * function(zold, time[i+1])-zold ## Here is where my error occurs dF = dt*dF_matrix(y[i+1])-1 znew = zold - F/dF zold = znew I+=1 y[i+1]=znew return y
Euler’s Method with Python
cdn.ymaws.com › amatyc › resourceInsert the following code after the print command, but do NOT indent it. The plt.plot(x,y,’o’) command should follow this code. Code to Print Actual Solution on Same Graph t=np.linspace(-np.divide(np.pi,2),10.,400) a = t*(np.cos(t))-. plt.plot(t, a, 'r-') Johanna M Debrecht Page |. 11. Step 2.
Forward and Backward Euler Methods
web.mit.edu › 10 › WebForward and Backward Euler Methods. Let's denote the time at the nth time-step by t n and the computed solution at the nth time-step by y n, i.e., . The step size h (assumed to be constant for the sake of simplicity) is then given by h = t n - t n-1. Given (t n, y n), the forward Euler method (FE) computes y n+1 as
The Euler Method — Python Numerical Methods
pythonnumericalmethods.berkeley.edu › notebooksimport numpy as np import matplotlib.pyplot as plt plt. style. use ('seaborn-poster') % matplotlib inline # Define parameters f = lambda t, s: np. exp (-t) # ODE h = 0.1 # Step size t = np. arange (0, 1 + h, h) # Numerical grid s0 =-1 # Initial Condition # Explicit Euler Method s = np. zeros (len (t)) s [0] = s0 for i in range (0, len (t)-1): s [i + 1] = s [i] + h * f (t [i], s [i]) plt. figure (figsize = (12, 8)) plt. plot (t, s, 'bo--', label = 'Approximate') plt. plot (t,-np. exp (-t), 'g ...