如何使用numpy库进行矩阵运算？

使用numpy库进行矩阵运算有以下几种常见的方法：

1. 创建矩阵：

import numpy as np

# 创建一个2x2的矩阵
a = np.array([[1, 2], [3, 4]])
print(a)

2. 矩阵加法：

import numpy as np

a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])

c = np.add(a, b)
print(c)

3. 矩阵减法：

import numpy as np

a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])

c = np.subtract(a, b)
print(c)

4. 矩阵乘法：

import numpy as np

a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])

c = np.dot(a, b)
print(c)

5. 矩阵转置：

import numpy as np

a = np.array([[1, 2], [3, 4]])

c = np.transpose(a)
print(c)

6. 矩阵求逆：

import numpy as np

a = np.array([[1, 2], [3, 4]])

c = np.linalg.inv(a)
print(c)