Module « scipy.linalg »

Fonction diagsvd - module scipy.linalg

Signature de la fonction diagsvd

def diagsvd(s, M, N) 

Description

diagsvd.__doc__

    Construct the sigma matrix in SVD from singular values and size M, N.

    Parameters
    ----------
    s : (M,) or (N,) array_like
        Singular values
    M : int
        Size of the matrix whose singular values are `s`.
    N : int
        Size of the matrix whose singular values are `s`.

    Returns
    -------
    S : (M, N) ndarray
        The S-matrix in the singular value decomposition

    See Also
    --------
    svd : Singular value decomposition of a matrix
    svdvals : Compute singular values of a matrix.

    Examples
    --------
    >>> from scipy.linalg import diagsvd
    >>> vals = np.array([1, 2, 3])  # The array representing the computed svd
    >>> diagsvd(vals, 3, 4)
    array([[1, 0, 0, 0],
           [0, 2, 0, 0],
           [0, 0, 3, 0]])
    >>> diagsvd(vals, 4, 3)
    array([[1, 0, 0],
           [0, 2, 0],
           [0, 0, 3],
           [0, 0, 0]])