机器学习2

Python/scipy/linalg_test.py

@@ -0,0 +1,37 @@
+from scipy import linalg
+import numpy as np
+
+#Declaring the numpy arrays
+a = np.array([[3, 2, 0], [1, -1, 0], [0, 5, 1]])
+b = np.array([2, 4, -1])
+
+# 求矩阵的行列式
+print(np.linalg.det(a))
+print(linalg.det(a))
+
+# 求矩阵的特征值和特征向量
+
+print('eig:')
+print(np.linalg.eig(a))
+print(linalg.eig(a))
+
+# 奇异值分解svd
+print('svd:')
+m = np.array([[3,2,4],[1,3,2]])
+print(np.linalg.svd(a))
+print(linalg.svd(a))
+
+# 利用矩阵的逆求解方程组
+a_ = np.linalg.inv(a)
+x = np.matmul(a_,b)
+print(x)
+
+# 使用numpy的线性代数部分求解矩阵的逆
+x = np.linalg.solve(a,b)
+print(x)
+
+#Passing the values to the solve function
+x = linalg.solve(a, b)
+
+#printing the result array
+print(x)