python作业之scipy

题目:
python作业之scipy_第1张图片
python作业之scipy_第2张图片

1:`import numpy as np

A = np.random.randint(-20, 20, size = 30 * 20).reshape(30, 20)
b = np.random.randint(-20, 20, size = 30 * 1).reshape(30, 1)
x = np.dot(np.dot(np.linalg.inv(np.dot(A.T, A)), A.T), b)
print(x)
print (“The answer is :”, np.linalg.norm(x))`

python作业之scipy_第3张图片

2:`import numpy as np
from scipy import optimize

def func(x):
return -((np.sin(x - 2) * 2 ) np.exp(-x ** 2))

max = -optimize.minimize_scalar(func).fun
print(max) `

这里写图片描述

3:
import numpy as np
from scipy import spatial

X = np.random.randint(-10, 10, size = 5 * 5).reshape(5, 5)
print(X)
print(spatial.distance.cdist(X, X))

python作业之scipy_第4张图片

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