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Please enable JavaScript in your browser settings or update your browser.Challenge: Figures' Linear Transformations | Linear Algebra
Mathematics for Data Analysis and Modeling
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Зміст курсу

Mathematics for Data Analysis and Modeling

Mathematics for Data Analysis and Modeling

1. Basic Mathematical Concepts and Definitions
What is a Function?What are Number Series?Sum of Elements of The SeriesChallenge: Calculating Sum of Geometric ProgressionVectors and Matrices
2. Linear Algebra
Numerical Operations on Vectors and MatricesChallenge: Calculate the Matrix Multiplication ResultMatrix DeterminantScaling Factor of the Linear TransformationChallenge: Figures' Linear TransformationsInversed and Transposed MatricesSystem of Linear EquationsChallenge: Solving the Task Using SLEEigenvalues and Eigenvectors
3. Mathematical Analysis
Derivative of the FunctionPartial Derivative of the FunctionChallenge: Solving Task Using DerivativeOptimization ProblemChallenge: Solving the Optimisation ProblemGradient Descent MethodChallenge: Optimising Function Of Multiple Variables

Challenge: Figures' Linear Transformations

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Все було зрозуміло?

Секція 2. Розділ 5
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Challenge: Figures' Linear Transformations

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Все було зрозуміло?

Секція 2. Розділ 5
toggle bottom row

Challenge: Figures' Linear Transformations

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Все було зрозуміло?

Завдання

Linear transformations of the figures are commonly used in computer graphics. There are 2 main types of linear transformations:

  1. Rotation transformation rotates a figure around a specific point or axis.
  2. Scale transformation resizes a figure by changing its size along each axis.

Your task is to apply all these transformations to a rectangle one by one. As a result, we will have a composition of transformations:

  1. Сreate rotation matrix that rotates a figure by np.pi / 3 degrees.
  2. Create a scaling matrix with the parameters scale_x = 2 and scale_y = 0.5.
  3. Apply the rotation_matrix to the square.
  4. Apply the scaling_matrix to the result of the previous transformation.

Секція 2. Розділ 5
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