使用 SciPy 库查找方阵的逆矩阵
SciPy 库有 scipy. 求方阵逆的函数。让我们了解如何使用此函数来计算矩阵的逆 -linalg.inv()
示例
2 x 2 矩阵的逆矩阵
#Importing the scipy package输出结果import scipy.linalg
#Importing the numpy package
import numpy as np
#Declaring the numpy array (Square Matrix)
A = np.array([[3, 3.5],[3.2, 3.6]])
#Passing the values to scipy.linalg.inv() function
M = scipy.linalg.inv(A)
#Printing the result
print('Inverse of \n{} \n is {}'.format(A,M))
Inverse of[[3. 3.5]
[3.2 3.6]]
is [[-9. 8.75]
[ 8. -7.5 ]]
示例
3 x 3 矩阵的逆矩阵
import scipy输出结果import numpy as np
A = np.array([[2,1,-2],[1,0,0],[0,1,0]])
M = scipy.linalg.inv(A)
print('Inverse of \n{} \n is {}'.format(A,M))
Inverse of[[ 2 1 -2]
[ 1 0 0]
[ 0 1 0]]
is [[ 0. 1. 0. ]
[ 0. -0. 1. ]
[-0.5 1. 0.5]]
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