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Module « scipy.linalg »

Fonction invhilbert - module scipy.linalg

Signature de la fonction invhilbert

def invhilbert(n, exact=False) 

Description

help(scipy.linalg.invhilbert)

Compute the inverse of the Hilbert matrix of order `n`.

The entries in the inverse of a Hilbert matrix are integers. When `n`
is greater than 14, some entries in the inverse exceed the upper limit
of 64 bit integers. The `exact` argument provides two options for
dealing with these large integers.

Parameters
----------
n : int
    The order of the Hilbert matrix.
exact : bool, optional
    If False, the data type of the array that is returned is np.float64,
    and the array is an approximation of the inverse.
    If True, the array is the exact integer inverse array. To represent
    the exact inverse when n > 14, the returned array is an object array
    of long integers. For n <= 14, the exact inverse is returned as an
    array with data type np.int64.

Returns
-------
invh : (n, n) ndarray
    The data type of the array is np.float64 if `exact` is False.
    If `exact` is True, the data type is either np.int64 (for n <= 14)
    or object (for n > 14). In the latter case, the objects in the
    array will be long integers.

See Also
--------
hilbert : Create a Hilbert matrix.

Notes
-----
.. versionadded:: 0.10.0

Examples
--------
>>> from scipy.linalg import invhilbert
>>> invhilbert(4)
array([[   16.,  -120.,   240.,  -140.],
       [ -120.,  1200., -2700.,  1680.],
       [  240., -2700.,  6480., -4200.],
       [ -140.,  1680., -4200.,  2800.]])
>>> invhilbert(4, exact=True)
array([[   16,  -120,   240,  -140],
       [ -120,  1200, -2700,  1680],
       [  240, -2700,  6480, -4200],
       [ -140,  1680, -4200,  2800]], dtype=int64)
>>> invhilbert(16)[7,7]
4.2475099528537506e+19
>>> invhilbert(16, exact=True)[7,7]
42475099528537378560

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