Created
October 21, 2016 08:53
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import numpy as np | |
import matplotlib.pyplot as plt | |
x_for_f = np.linspace(-1.5, 1.5, 500) | |
y_for_f = np.array([np.tan(x_for_f[i]) for i in range(len(x_for_f))], dtype = float) | |
print("Enter count:") | |
n = int(input()) | |
x = np.linspace(-1.5, 1.5, num = n) | |
y = np.array([np.tan(x[i]) for i in range(len(x))], dtype = float) | |
x_cheb = np.array([(3/2)*np.cos((2*i+1)/(2*n+2)*np.pi) for i in range(n+1)], dtype = float) | |
y_cheb = np.array([np.tan(x_cheb[i]) for i in range(len(x_cheb))], dtype = float) | |
def lagranz(x,y,t): | |
z = 0 | |
for j in range(len(y)): | |
p1=1 | |
p2=1 | |
for i in range(len(x)): | |
if i == j: | |
p1 *=1 | |
p2 *=1 | |
else: | |
p1 *= (t-x[i]) | |
p2 *= x[j]-x[i] | |
z = z+y[j]*p1/p2 | |
return z | |
xnew = [] | |
ynew = [lagranz(x,y,i) for i in xnew] | |
x_cheb_new = np.linspace(np.min(x_cheb), np.max(x_cheb), 100) | |
y_cheb_new = [lagranz(x_cheb, y_cheb, i) for i in x_cheb_new] | |
y_dev = np.array([y_for_f[i] - ynew[i] for i in range(len(xnew))], dtype = float) | |
y_dev_cheb = np.array([y_for_f[i] - y_cheb_new[i] for i in range(len(x_cheb_new))], dtype = float) | |
plt.xlabel(r'$x$') | |
plt.ylabel(r'$f(x)$') | |
plt.title(r'$f(x)=2+sin(x)$') | |
plt.plot(x_for_f, y_for_f, label = "f(x)=2+sin(x)") | |
plt.plot(x, y, 'o', xnew, ynew, label = "g(x), equidistant nodes") | |
plt.plot(x_cheb, y_cheb, 'o', x_cheb_new, y_cheb_new, label = "h(x), Chebyshev nodes") | |
plt.plot(xnew, y_dev, "--", label = "f(x)-g(x)") | |
plt.plot(x_cheb_new, y_dev_cheb, "-.", label = "f(x)-h(x)") | |
plt.legend() | |
plt.grid(True) | |
plt.show() |
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