Open LinearSolver.ipynb with Jupyter Notebook. You are given a text file, eq.txt, containing a system of linear equations: x,y,z 2,1, -2,3 2x+1y-2z=3 1,-1,-1,0 which is equivalent to 1x-ly-1z = 0 1,1,3,12 1x + 1y +3z = 12 Part A Read the content of eq.txt and compute the following: o A Python list (not ndarray) called var containing the names of the unknowns. Example: [x, y, z) (Your solution should be general, i.e., it should work for any number of unknowns with arbitrary names.) o The ndarray A that will be used in solving the system via Numpy, as in: At = b (do not solve the system yet!) o The ndarray b that will be used in solving the system via Numpy, as in: At = b Your output should be as follows: VAF I'x', 'y', '2']
Open LinearSolver.ipynb with Jupyter Notebook. You are given a text file, eq.txt, containing a system of linear equations: x,y,z 2,1, -2,3 2x+1y-2z=3 1,-1,-1,0 which is equivalent to 1x-ly-1z = 0 1,1,3,12 1x + 1y +3z = 12 Part A Read the content of eq.txt and compute the following: o A Python list (not ndarray) called var containing the names of the unknowns. Example: [x, y, z) (Your solution should be general, i.e., it should work for any number of unknowns with arbitrary names.) o The ndarray A that will be used in solving the system via Numpy, as in: At = b (do not solve the system yet!) o The ndarray b that will be used in solving the system via Numpy, as in: At = b Your output should be as follows: VAF I'x', 'y', '2']
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
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Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![Open
LinearSolver.ipynb
with Jupyter Notebook.
You are given a text file, eq.txt, containing a system of linear equations:
x,y,z
2,1, -2,3
2x + 1y-2z=3
1x-ly-1z = 0
1,-1,-1,0
which is equivalent to
1,1,3,12
1x + 1y +3z = 12
Part A
Read the content of eq.txt and compute the following:
o A Python list (not ndarray) called var containing the names of the unknowns.
Example: [x, y, z) (Your solution should be general, i.e., it should work for any
number of unknowns with arbitrary names.)
o
The ndarray A that will be used in solving the system via Numpy, as in: At = b (do
not solve the system yet!)
o
The ndarray b that will be used in solving the system via Numpy, as in: At = b
Your output should be as follows:
VAF
['x', 'y', '2'1
arrayti 2., 1., -2.1,
11.-1., 1.1.
[ 1., 1.2 3.11)
I
b
array([[ 3.1,
10.1.
112-113
Part B
Solve the system At= b using the A and b that you computed in Part A.
Your output should be as follows:
t
array([[3.5],
11. 1.
[2.511)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7b61fff2-a761-480e-a391-c0bcce32578d%2F76d4509d-6323-4299-a900-befe474a6250%2F7ptf6mp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Open
LinearSolver.ipynb
with Jupyter Notebook.
You are given a text file, eq.txt, containing a system of linear equations:
x,y,z
2,1, -2,3
2x + 1y-2z=3
1x-ly-1z = 0
1,-1,-1,0
which is equivalent to
1,1,3,12
1x + 1y +3z = 12
Part A
Read the content of eq.txt and compute the following:
o A Python list (not ndarray) called var containing the names of the unknowns.
Example: [x, y, z) (Your solution should be general, i.e., it should work for any
number of unknowns with arbitrary names.)
o
The ndarray A that will be used in solving the system via Numpy, as in: At = b (do
not solve the system yet!)
o
The ndarray b that will be used in solving the system via Numpy, as in: At = b
Your output should be as follows:
VAF
['x', 'y', '2'1
arrayti 2., 1., -2.1,
11.-1., 1.1.
[ 1., 1.2 3.11)
I
b
array([[ 3.1,
10.1.
112-113
Part B
Solve the system At= b using the A and b that you computed in Part A.
Your output should be as follows:
t
array([[3.5],
11. 1.
[2.511)
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