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# -*- coding: utf-8 -*-
"""
Created on Tue May 5 18:45:25 2020
@author: Marina
"""
from numpy import *
def RK4(Xstart,Ustart,Xend,h,f):
imax = int((Xend-Xstart)/h)
X = Xstart + arange(imax+1)*h
U = zeros((size(Ustart), imax+1))
U[:, 0] = asarray(Ustart)
for i in range(1,imax+1):
K1 = asarray(f(U[:, i-1]))
K2 = asarray(f(U[:, i-1] + (h/2) * K1))
K3 = asarray(f(U[:, i-1] + (h/2)* K2))
K4 = asarray(f(U[:, i-1] + h * K3))
U[:, i] = U[:, i-1] + (h/6) * (K1 + 2 * K2 + 2 * K3 + K4)
U = transpose(U)
return X, U
# We define:
# f = u1; f' = v1; f''= w1
# \u03B8 = u2; \u03B8'= v2
# u = [u1, v1, w1, u2, v2]
# In that case the system to solve is:
# u1' = v1
# v1' = w1
# w1' = -3*u1*w1 + 2*(v1)**2 - u2
# u2' = v2
# v2' = -3*Pr*u1*v2
def f(u):
du1dt = u[1]
dv1dt = u[2]
dw1dt = - 3*u[0]*u[2] + 2*u[1]**2 - u[3]
du2dt = u[4]
dv2dt = - 3* 0.01 * u[0]*u[4]
return array([du1dt,dv1dt,dw1dt,du2dt,dv2dt])
# Shoot method
def shoot(a,b,h,integrator):
X,U = integrator(0,[0,0,a,1,b],5,h,f)
return array([U[-1,2], U[-1,4]])
# We solve the problem in the same way we solved the Blasius equation,
# aplaying the bisection method.
# We are supposing that we want to get the an error equal to the tolerance in both cases,
# to calculate alfa1 and alfa2, and that we can choose different intervals.
def blasius(delta1,delta2,nmax,tol,h,integrator):
delta0 = array([delta1, delta2])
a = zeros(2)
b = zeros(2)
a[0] = delta0[0,0]
a[1] = delta0[1,0]
b[0] = delta0[0,1]
b[1] = delta0[1,1]
x = zeros(2)
delta = zeros(2)
print('a1,a2',a[0],a[1])
fa = shoot(a[0],a[1],h,integrator)
print('fa', fa)
fb = shoot(b[0],b[1],h,integrator)
print('fb', fb)
n = 1
delta[0] = (b[0]-a[0])/2
delta[1] = (b[1]-a[1])/2
for i in range (0,2):
if (fa[i]*fb[i] > 0) :
return 0, 0,'Bad initial interval :-( for i = %d' % (i)
while (abs(delta[0]) >= tol and abs(delta[1]) >= tol and n < nmax) :
n = n + 1
for i in range (0,2):
delta[i] = (b[i]-a[i])/2
x[i] = a[i] + delta[i]
print('x%d = %13.7e'%(i,x[i]))
fx = shoot(x[0],x[1],h,integrator)
print('fx', fx)
print(" x1 = %14.7e (Estimated error %13.7e at iteration %d)" % (x[0],abs(delta[0]),n))
print(" x2 = %14.7e (Estimated error %13.7e at iteration %d)" % (x[1],abs(delta[1]),n))
for i in range (0,2):
if (fx[i]*fa[i] > 0) :
a[i] = x[i]
fa[i] = fx[i]
else:
b[i] = x[i]
fb[i] = fx[i]
if (n == nmax) :
return x[0], x[1],'Increase nmax : more iterations are needed :-('
return x[0], x[1],'Convergence observed :-)'
# These are the initial value we have choosen
Xend = 5
h = 0.9
Pr = 0.01
delta1 = [1,3]
delta2 = [2,5]
nmax = 10
tol = 1e-2
a, b, message = blasius(delta1,delta2,nmax,tol,h,RK4)
X,U = RK4(0,[0,0,a,1,b],Xend,h,f)
print('For RK4:')
print(" === Requested f''(0) = %.4f === %s" % (a,message))
print(" === Requested \u03B8'(0) = %.4f === %s" % (b,message))
print(" === Obtained final value for f'(0) = %13.7e " % U[-1,2])
print(" === Obtained final value for \u03B8(0) = %13.7e " % U[-1,4])
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