Python Numpy 错误：奇异矩阵
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Numpy error: Singular matrix
提问by KaliMa
What does the error Numpy error: Matrix is singularmean specifically (when using the linalg.solvefunction)? I have looked on Google but couldn't find anything that made it clear when this error occurs.
错误Numpy error: Matrix is singular具体是什么意思（使用该linalg.solve函数时）？我已经在谷歌上查看过，但在发生此错误时找不到任何明确的信息。
采纳答案by Michael J. Barber
A singular matrix is one that is not invertible. This means that the system of equations you are trying to solve does not have a unique solution; linalg.solvecan't handle this.
奇异矩阵是不可逆的。这意味着您要求解的方程组没有唯一解；linalg.solve不能处理这个。
You may find that linalg.lstsqprovides a usable solution.
您可能会发现它linalg.lstsq提供了一个可用的解决方案。
回答by Procope
This function inverts singular matrices as well using numpy.linalg.lstsq:
此函数也使用numpy.linalg.lstsq以下方法反转奇异矩阵：
def inv(m):
a, b = m.shape
if a != b:
raise ValueError("Only square matrices are invertible.")
i = np.eye(a, a)
return np.linalg.lstsq(m, i)[0]
