
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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In picture thete is detailed. M8.
![We can use the numpy. add and numpy.subtract functions to add and subtract
atrices in Python as in the following code, which follows from the preceding code:
# Add A and B
print (numpy. add (A,B))
# Subtract A and B
print (numpy. subtract (A,B))
122 Computational Algorithms in Linear Algebra
The code has the following output:
[[ 4 3 3]
[17
4 2]
[ 3
4 4]]
[[ 2
1 -1]
[ 1 -4
0]
[ 3 4 -2]]
Of course, this is in fact A + B and A- B, which we could find by hand if we add and
subtract all the numbers in the matrices element by element.
Next, we continue with more arithmetic of matrices: multiplying a whole matrix by
a scalar (or, by a number).](https://content.bartleby.com/qna-images/question/21dfbca2-42a0-4f90-98e3-9d7bf80a59f9/d04d6053-aa12-474c-81c3-f74337eb3647/syz3crt_thumbnail.jpeg)
Transcribed Image Text:We can use the numpy. add and numpy.subtract functions to add and subtract
atrices in Python as in the following code, which follows from the preceding code:
# Add A and B
print (numpy. add (A,B))
# Subtract A and B
print (numpy. subtract (A,B))
122 Computational Algorithms in Linear Algebra
The code has the following output:
[[ 4 3 3]
[17
4 2]
[ 3
4 4]]
[[ 2
1 -1]
[ 1 -4
0]
[ 3 4 -2]]
Of course, this is in fact A + B and A- B, which we could find by hand if we add and
subtract all the numbers in the matrices element by element.
Next, we continue with more arithmetic of matrices: multiplying a whole matrix by
a scalar (or, by a number).
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