# 8 examples of 'python inverse matrix' in Python

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``210def Inverse(self):211    r"""Inverse(DenseMatrix self) -&gt; MatrixInverse"""212    return _densemat.DenseMatrix_Inverse(self)``
``288def inv(self, matrix: Tensor) -&gt; Tensor:289  if len(matrix.shape) &gt; 2:290    raise ValueError(291        "input to pytorch backend method `inv` has shape {}. Only matrices are supported."292        .format(matrix.shape))293  return matrix.inverse()``
``138def getInverse(self) -&gt; "Matrix":139    try:140        return Matrix(numpy.linalg.inv(self._data))141    except:142        return Matrix(self._data)``
``13def test_inverse_simple(self):14    T = np.array([15        [2, 1, 1, 0],16        [4, 3, 3, 1],17        [8, 7, 9, 5],18        [6, 7, 9, 8]19    ])2021    actual = inverse(T)22    expected = LA.inv(T)2324    self.assertTrue(np.allclose(actual, expected))``
``12def inverse(bmat):13    '''14    Inverse of a linear combination of Hs norms. We very strictly 15    enforce the form of sum_j alpha_j H^{s_j}16    '''17    if isinstance(bmat, InterpolationMatrix):18        return bmat**-11920    if isinstance(bmat, block_utils.VectorizedOperator):21        return block_utils.VectorizedOperator(inverse(bmat.bmat), bmat.W)22    23    # Does it satisfy the definittion24    assert is_well_defined(bmat)25    # Try to see if sombody computes the eigenvalues26    lmbda, U = extract_attributes(bmat, ('lmbda', 'U'))27    # Do it your self28    if U is None or lmbda is None:29        A, M = extract_attributes(bmat, ('A', 'M'))30        lmbda, U = eigh(A.array(), M.array())3132    diagonal = np.zeros_like(lmbda)33    for alpha, s in collect(bmat):34        diagonal[:] += alpha*(lmbda**s)35    # Invert36    diagonal[:] = 1./diagonal37    38    array = U.dot(np.diag(diagonal).dot(U.T))3940    return numpy_to_petsc(array)``
``161@staticmethod162@IMPLEMENT_NODE(returns=('Matrix44Pin', pyrr.Matrix44()), meta={'Category': 'Math|Matrix44', 'Keywords': ['create', 'matrix44']})163def m44Inverse(m=('Matrix44Pin', pyrr.Matrix44())):164    '''Returns the inverse of the matrix.\nThis is essentially a wrapper around numpy.linalg.inv.'''165    return ~m``
``74def invert(self):75    # TODO test76    rst = []77    for i in range(len(self)):78        vi = []79        for j in range(len(self)):80            vi.append(self.minor(j, i).determinant())8182        vi = Vector(vi)83        vi = vi * (1.0 / self.determinant())8485        rst.append(vi)8687    return Matrix(rst)``
``21def inv(x):22    """23    computes inverse of input matrix2425    Parameters26    ----------27    x : array_like (D, D)28        square matrix2930    Returns31    -------32    Array33        inverse of `x`3435    Raises36    ------37    ValueError38        raises error if `x` is not square39    """40    if x.ndim != 2 or x.shape[0] != x.shape[1]:41        raise ValueError42    return _Inverse().forward(x)``