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June 25, 2022 00:33
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# coding: utf-8 | |
import numpy as np | |
import matplotlib.pyplot as plt | |
def LeastRootSq(x, t, M): | |
aaa = np.array([x**k for k in range(2*M+1)]) | |
aa = np.sum(aaa, axis=1) | |
A = np.array([[aa[i+j] for i in range(M+1)] for j in range(M+1)]) | |
tt = np.array([x**k for k in range(M+1)]) | |
T = np.sum(tt*t, axis=1) | |
w = np.linalg.solve(A, T) | |
f = np.poly1d(w[::-1]) | |
return(f, w) | |
def main(): | |
N = 10 | |
M = [0, 1, 3, 9] | |
xx = np.linspace(0, 1, 100) | |
x = np.linspace(0, 1, N) | |
t = np.sin(2.*np.pi*x)+np.random.normal(0, 0.2, len(x)) | |
for i,m in enumerate(M): | |
f, w = LeastRootSq(x, t, m) | |
plt.subplot(2,2,i+1) | |
plt.xlabel('x') | |
plt.ylabel('t') | |
plt.xlim(-0.1, 1.1) | |
plt.ylim(-1.5, 1.5) | |
plt.text(0.8, 1.0, 'M = %d' % m, fontsize=15) | |
plt.scatter(x, t, s=60, c='white', linewidths='2', edgecolors='blue') | |
plt.plot(xx, np.sin(2.*np.pi*xx), color='green', linestyle='dashed') | |
plt.plot(xx, f(xx), color='red') | |
plt.show() | |
if __name__ == '__main__': | |
main() |
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