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scipy.linalg.

# invhilbert

scipy.linalg.invhilbert(n, exact=False)

  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

  Added in version 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