ddg.math.random module
- ddg.math.random.random_matrix(m, n, rank=None, seed=None, atol=1e-13, rtol=None)[source]
Returns a random (m x n)-matrix of a specific rank.
- Parameters:
- mint
Number of rows of matrix
- nint
Number of columns of matrix
- rankint, optional.
Rank of matrix. If None, a full rank matrix is returned
- seedint, numpy.random.Generator or None (default=None)
Passes a fixed seed to default Generator class. If passed a Generator, just uses that generator for random generation.
- atolfloat
The absolute tolerance used in the computation of rank of the matrix.
- rtolfloat
The relative tolerance used in the computation of rank of the matrix.
- Returns:
- numpy.ndarray
A random (m x n)-matrix
- Raises:
- ValueError
If rank of matrix is strictly greater than min(m, n)
Notes
This function uses the global tolerance defaults if
atolorrtolare set to None. See ddg.abc.NonExact for details.
- ddg.math.random.random_matrix_close_to_identity(n, seed=None)[source]
Returns a random (n x n)-matrix close to identity matrix.
- ddg.math.random.random_point_on_sphere(n, seed=None)[source]
Draws a point on the n-dimensional unit sphere with uniform distribution.
- Parameters:
- nint
Dimension of the unit sphere.
- seedfloat, optional.
Passes a fixed seed to default Generator class.
- Returns:
- numpy.array of shape (n+1,)
Point on the n-dimensional unit sphere.