Numpy 和 Scipy 矩阵求逆函数的区别

Question

我的问题很简单:用于矩阵求逆的 numpy.linalg.inv 和 scipy.linalg.inv 函数之间有什么区别

Scipy 函数只是 Numpy 函数的一个包装器吗？
效率、数值稳定性、速度……我应该更喜欢哪一个？

谢谢 !

Answer 1

来自 the SciPy Documentation你会得到以下信息:

scipy.linalg vs numpy.linalg
scipy.linalg contains all the functions in numpy.linalg. plus some other more advanced ones not contained in numpy.linalg Another advantage of using scipy.linalg over numpy.linalg is that it is always compiled with BLAS/LAPACK support, while for numpy this is optional. Therefore, the scipy version might be faster depending on how numpy was installed.

Therefore, unless you don’t want to add scipy as a dependency to your numpy program, use scipy.linalg instead of numpy.linalg

我希望这有帮助!