Let's write a function called scale_row which takes 3 input parameters A, k, and i and returns the matrix that results from & times row i in the k matrix A. [ ] # function that executes ROW OPERATION NO.2: def scale_row(A, k,i): "Multiply row i by k in matrix A." # supply your answers, in the ... below, can be multiple lines return E @ A if defined properly, you would get these results: [ ] M = np.array([[3,1],[-2,7]]) print (M) [[31] [-2 7]] [] scale_row(M,3,1) array([[3., 1.], [-6., 21.]]) [] A = np.array([[1,1,1],[1,-1,0]]) print (A) [[ 1 1 1] [ 1 -1 0]] [] scale_row(A,5,1) array([[ 1., 1., 1.], [ 5., -5., 0.]])
Let's write a function called scale_row which takes 3 input parameters A, k, and i and returns the matrix that results from & times row i in the k matrix A. [ ] # function that executes ROW OPERATION NO.2: def scale_row(A, k,i): "Multiply row i by k in matrix A." # supply your answers, in the ... below, can be multiple lines return E @ A if defined properly, you would get these results: [ ] M = np.array([[3,1],[-2,7]]) print (M) [[31] [-2 7]] [] scale_row(M,3,1) array([[3., 1.], [-6., 21.]]) [] A = np.array([[1,1,1],[1,-1,0]]) print (A) [[ 1 1 1] [ 1 -1 0]] [] scale_row(A,5,1) array([[ 1., 1., 1.], [ 5., -5., 0.]])
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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Language : Python
![ACTIVITY 1
Let's write a function called scale_row which takes 3 input parameters
A, k, and į and returns the matrix that results from ½ times row ¿ in the
k
matrix A.
[ ] # function that executes ROW OPERATION NO.2:
def scale_row(A, k,i):
"Multiply row i by k in matrix A."
# supply your answers, in the
return E @ A
if defined properly, you would get these results:
[ ] M = np.array([[3,1], [-2,7]])
print (M)
[[31]
[-2 7]]
[scale_row(M,3,1)
array([[ 3., 1.],
[-6., 21.]])
[] A = np.array([[1,1,1],[1,-1,0]])
print (A)
[[ 1 1 1]
[ 1 -1 0]]
[ ] scale_row(A, 5, 1)
array([[ 1., 1.,
below, can be multiple lines.
1.],
[ 5., -5., 0.1])](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdfbbf43f-b5c2-4d87-8106-243aab91da52%2F3980880b-4774-4506-b0a9-0962cb4f46b6%2F9doatg9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:ACTIVITY 1
Let's write a function called scale_row which takes 3 input parameters
A, k, and į and returns the matrix that results from ½ times row ¿ in the
k
matrix A.
[ ] # function that executes ROW OPERATION NO.2:
def scale_row(A, k,i):
"Multiply row i by k in matrix A."
# supply your answers, in the
return E @ A
if defined properly, you would get these results:
[ ] M = np.array([[3,1], [-2,7]])
print (M)
[[31]
[-2 7]]
[scale_row(M,3,1)
array([[ 3., 1.],
[-6., 21.]])
[] A = np.array([[1,1,1],[1,-1,0]])
print (A)
[[ 1 1 1]
[ 1 -1 0]]
[ ] scale_row(A, 5, 1)
array([[ 1., 1.,
below, can be multiple lines.
1.],
[ 5., -5., 0.1])
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