Challenge: Solving the Task Using SLE
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We have already considered how to solve the SLE using inversed matrix. But we can also use np.linalg.solve(A, y) method that calculates the solution of the SLE:
A * x = y.
Your task is to solve the system using both these methods and compare the results:
- Use
np.linalg.solve()method. - Use
np.inv()method to calculate inversed matrix and provide solution using:x = A_inv @ y.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
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Completion rate improved to 4.76Challenge: Solving the Task Using SLE
Swipe to start coding
We have already considered how to solve the SLE using inversed matrix. But we can also use np.linalg.solve(A, y) method that calculates the solution of the SLE:
A * x = y.
Your task is to solve the system using both these methods and compare the results:
- Use
np.linalg.solve()method. - Use
np.inv()method to calculate inversed matrix and provide solution using:x = A_inv @ y.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
single
Awesome!
Completion rate improved to 4.76Challenge: Solving the Task Using SLE
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Swipe to start coding
We have already considered how to solve the SLE using inversed matrix. But we can also use np.linalg.solve(A, y) method that calculates the solution of the SLE:
A * x = y.
Your task is to solve the system using both these methods and compare the results:
- Use
np.linalg.solve()method. - Use
np.inv()method to calculate inversed matrix and provide solution using:x = A_inv @ y.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
