回答此问题可获得 20 贡献值,回答如果被采纳可获得 50 分。
<pre><code>import numpy as np
def qrhouse(A):
(m,n) = A.shape
R = A
V = np.zeros((m,n))
for k in range(0,min(m-1,n)):
x = R[k:m,k]
x.shape = (m-k,1)
v = x + np.sin(x[0])*np.linalg.norm(x.T)*np.eye(m-k,1)
V[k:m,k] = v
R[k:m,k:n] = R[k:m,k:n]-(2*v)*(np.transpose(v)*R[k:m,k:n])/(np.transpose(v)*v)
R = np.triu(R[0:n,0:n])
return V, R
A = np.array( [[1,1,2],[4,3,1],[1,6,6]] )
print qrhouse(A)
</code></pre>
<p>这是二维分解码,但我不知道为什么会出错。
值错误发生在<code>V[k:m,k] = v</code></p>
<pre><code>value error :
could not broadcast input array from shape (3,1) into shape (3)
</code></pre>