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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 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)
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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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)
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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