3- What does the following python code do? Explain it completely, line by line 1 import numpy as np 123456 PL 4 5 import sys a = np.array([[ 2, 1, -11, [-3, -1, 2], [-2, 1, 2]]).astype (float) 6 b [8, -11, -31 7 print (np.linalg.inv (a).dot (b)) 8n=a.shape [0] 9 det_a= np.linalg.det (a) 10 x= np.zeros (n) 11 for i in range (n): ai= a.copy () 12 13 ai[:,1]-b 14 x[i] = np.linalg.det (ai)/det_a 15 print (x)
3- What does the following python code do? Explain it completely, line by line 1 import numpy as np 123456 PL 4 5 import sys a = np.array([[ 2, 1, -11, [-3, -1, 2], [-2, 1, 2]]).astype (float) 6 b [8, -11, -31 7 print (np.linalg.inv (a).dot (b)) 8n=a.shape [0] 9 det_a= np.linalg.det (a) 10 x= np.zeros (n) 11 for i in range (n): ai= a.copy () 12 13 ai[:,1]-b 14 x[i] = np.linalg.det (ai)/det_a 15 print (x)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![3- What does the following python code do? Explain it completely, line by line.
1 import numpy as np
2 import sys
3a = np.array([[ 2, 1, -1],
4
2],
5
6 b = [8, -11, -3]
7 print (np.linalg.inv(a).dot (b))
8 na.shape [0]
9 det_a= np.linalg.det (a)
10 x = np.zeros (n)
11 for i in range(n):
ai = a.copy ()
12
13
14
2345
[-3, -1,
[-2, 1, 21]).astype (float)
ai[:,i]=b
x[i] = np.linalg.det (ai)/det_a
15 print (x)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9a64b623-a267-4b2b-b9e5-47d0fa7e82ee%2Ffb05de5a-f62e-473d-8ef7-9914cac0bb7f%2Flcr77zw_processed.jpeg&w=3840&q=75)
Transcribed Image Text:3- What does the following python code do? Explain it completely, line by line.
1 import numpy as np
2 import sys
3a = np.array([[ 2, 1, -1],
4
2],
5
6 b = [8, -11, -3]
7 print (np.linalg.inv(a).dot (b))
8 na.shape [0]
9 det_a= np.linalg.det (a)
10 x = np.zeros (n)
11 for i in range(n):
ai = a.copy ()
12
13
14
2345
[-3, -1,
[-2, 1, 21]).astype (float)
ai[:,i]=b
x[i] = np.linalg.det (ai)/det_a
15 print (x)
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