Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Challenge: Solving the Task Using SLE | Linear Algebra
Mathematics for Data Analysis and Modeling
course content

Course Content

Mathematics for Data Analysis and Modeling

Mathematics for Data Analysis and Modeling

1. Basic Mathematical Concepts and Definitions
2. Linear Algebra
3. Mathematical Analysis

bookChallenge: Solving the Task Using SLE

Task
test

Swipe to show code editor

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:

  1. Use np.linalg.solve() method.
  2. Use np.inv() method to calculate inversed matrix and provide solution using: x = A_inv @ y.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 8
toggle bottom row

bookChallenge: Solving the Task Using SLE

Task
test

Swipe to show code editor

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:

  1. Use np.linalg.solve() method.
  2. Use np.inv() method to calculate inversed matrix and provide solution using: x = A_inv @ y.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 8
toggle bottom row

bookChallenge: Solving the Task Using SLE

Task
test

Swipe to show code editor

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:

  1. Use np.linalg.solve() method.
  2. Use np.inv() method to calculate inversed matrix and provide solution using: x = A_inv @ y.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Task
test

Swipe to show code editor

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:

  1. Use np.linalg.solve() method.
  2. Use np.inv() method to calculate inversed matrix and provide solution using: x = A_inv @ y.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 8
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
We're sorry to hear that something went wrong. What happened?
some-alt