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Questions and Answers
What is the purpose of the show_vector function in the given Python code?
What is the purpose of the show_vector function in the given Python code?
What is the result of the operation pos = pos + vel in the given GLSL code?
What is the result of the operation pos = pos + vel in the given GLSL code?
What is the purpose of the np.linspace function in the given Python code?
What is the purpose of the np.linspace function in the given Python code?
What does the np.linalg.norm function compute?
What does the np.linalg.norm function compute?
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What is the purpose of the ax.set_aspect(1.0) line in the given Python code?
What is the purpose of the ax.set_aspect(1.0) line in the given Python code?
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What is the effect of the line show_vector(ax, origin, alpha * v1 + (1 - alpha) * v2, color='k', alpha=0.25, label='')?
What is the effect of the line show_vector(ax, origin, alpha * v1 + (1 - alpha) * v2, color='k', alpha=0.25, label='')?
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What is the purpose of the ax.set_ylabel()
function in the given Python code?
What is the purpose of the ax.set_ylabel()
function in the given Python code?
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What is the function of the scipy.special.gamma()
function in the given Python code?
What is the function of the scipy.special.gamma()
function in the given Python code?
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What is the purpose of the ax.set_title()
function in the given Python code?
What is the purpose of the ax.set_title()
function in the given Python code?
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What is the purpose of the plt.hist2d()
function in the given Python code?
What is the purpose of the plt.hist2d()
function in the given Python code?
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What is the purpose of the np.arange()
function in the given Python code?
What is the purpose of the np.arange()
function in the given Python code?
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What is the value of 'd' in the given experiment?
What is the value of 'd' in the given experiment?
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What is the purpose of the line 'points_in_sphere = points_in_box[np.linalg.norm(points_in_box,axis=1) < 1]'?
What is the purpose of the line 'points_in_sphere = points_in_box[np.linalg.norm(points_in_box,axis=1) < 1]'?
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What is the condition for matrix multiplication in the provided 'matmul' function?
What is the condition for matrix multiplication in the provided 'matmul' function?
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What is the result of the matrix multiplication 'matmul(a, b)' in the provided example?
What is the result of the matrix multiplication 'matmul(a, b)' in the provided example?
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What is the purpose of the assert statement in the 'matmul' function?
What is the purpose of the assert statement in the 'matmul' function?
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What does the line 'c[i, j] = np.sum(a[i, :] * b[:, j])' in the 'matmul' function do?
What does the line 'c[i, j] = np.sum(a[i, :] * b[:, j])' in the 'matmul' function do?
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What is the order of operations in matrix A?
What is the order of operations in matrix A?
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What is the difference between matrices A and B?
What is the difference between matrices A and B?
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What is the purpose of the line mu = np.mean(x, axis=0)
?
What is the purpose of the line mu = np.mean(x, axis=0)
?
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What does the @
symbol represent in the line (x - mu).T @ (x - mu)
?
What does the @
symbol represent in the line (x - mu).T @ (x - mu)
?
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What is the purpose of the np.set_printoptions
function?
What is the purpose of the np.set_printoptions
function?
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What is the relationship between sigma_cross
and sigma_np
?
What is the relationship between sigma_cross
and sigma_np
?
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What is the function of the eigsorted function in the given Python code?
What is the function of the eigsorted function in the given Python code?
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What is the purpose of the np.cov function in the given Python code?
What is the purpose of the np.cov function in the given Python code?
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What is the result of the operation np.eye(3) @ np.array([4,5,6])?
What is the result of the operation np.eye(3) @ np.array([4,5,6])?
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What is the purpose of the np.fliplr function in the given Python code?
What is the purpose of the np.fliplr function in the given Python code?
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What is the result of the operation aI = np.eye(3) * a?
What is the result of the operation aI = np.eye(3) * a?
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What is the purpose of the ax.set_aspect(1.0) line in the given Python code?
What is the purpose of the ax.set_aspect(1.0) line in the given Python code?
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Study Notes
Vectors and Vector Operations
- Vectors can be added and scaled using simple operations
- The
show_vector
function is used to visualize vectors in a 2D plane - Vectors can be interpolated using linear interpolation, which is a weighted sum of two vectors
- The
np.linalg.norm
function is used to calculate the magnitude of a vector
Matrix Operations
- Matrices can be multiplied using the
@
operator or thematmul
function - Matrix multiplication is only possible if the number of columns in the first matrix matches the number of rows in the second matrix
- The
matmul
function can be used to perform matrix multiplication with broadcasting - The
np.transpose
function can be used to transpose a matrix
Linear Transformations
- Linear transformations can be represented as matrices
- The matrix product of two linear transformations is a new linear transformation
- The order of matrix multiplication matters (e.g.
scale_x @ rot30
is not the same asrot30 @ scale_x
) - Linear transformations can be visualized using matrices and scatter plots
Covariance and Correlation
- The covariance of a dataset can be calculated using the
np.cov
function - The covariance matrix represents the variance and covariance of each pair of variables
- The
eigsorted
function is used to sort the eigenvalues and eigenvectors of a covariance matrix - The
cov_ellipse
function is used to visualize the covariance ellipse of a dataset
Diagonal and Identity Matrices
- Diagonal matrices can be created using the
np.diag
function - The identity matrix can be created using the
np.eye
function - The identity matrix does not change the result when multiplied with another matrix
- Diagonal and identity matrices have specific properties when multiplied with other matrices
Miscellaneous
- The
np.random.normal
function can be used to generate random normal variables - The
plt.hist2d
function can be used to create a 2D histogram - The
scipy.special.gamma
function is used to calculate the gamma function
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Description
Learn about vector operations, including addition, scaling, and interpolation, as well as matrix operations, including multiplication. Functions like show_vector and np.linalg.norm are also covered.