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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

Challenge: Solving the Task Using SLE

Task

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.

Task

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.

Everything was clear?

Section 2. Chapter 8
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Challenge: Solving the Task Using SLE

Task

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.

Task

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.

Everything was clear?

Section 2. Chapter 8
toggle bottom row

Challenge: Solving the Task Using SLE

Task

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.

Task

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.

Everything was clear?

Task

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.

Section 2. Chapter 8
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