eigenvalues 計算方陣的特徵值
Example Code

• import numpy as np
• from numpy import linalg as LA
• import math
• martixA = [[1,2],[3,2]]
• print(martixA)
• print('eigen values of martixA = ')
• print(LA.eigvals(martixA))
• print('eigen values & eigenvecgors of martixA = ')
• print(LA.eig(martixA))
• martixB = [[1,2,2],[2,1,2],[2, 2, 1]]
• print('eigenvalues of a Hermitian or real symmetric martixB = ')
• print(LA.eigvalsh(martixB))

Note and Comments

• import numpy as np: 讀入numpy函式庫並命名為np
• from numpy import linalg as LA 讀取numpy函式庫的線性代數函式庫並命名為LA
• LA.eigvals(martixA) 計算martixA的特徵值
• LA.eig(martixA) 計算martixA的特徵值與特徵向量
• LA.eigvalsh(martixA)) 計算實對稱或厄米特矩陣的特徵值

result