8 examples of 'python inverse matrix' in Python

Every line of 'python inverse matrix' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
this disclaimer
210def Inverse(self):
211 r"""Inverse(DenseMatrix self) -> MatrixInverse"""
212 return _densemat.DenseMatrix_Inverse(self)
Important

Use secure code every time

Secure your code as it's written. Use Snyk Code to scan source code in minutes – no build needed – and fix issues immediately. Enable Snyk Code

288def inv(self, matrix: Tensor) -> Tensor:
289 if len(matrix.shape) > 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) -> "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 ])
20
21 actual = inverse(T)
22 expected = LA.inv(T)
23
24 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**-1
19
20 if isinstance(bmat, block_utils.VectorizedOperator):
21 return block_utils.VectorizedOperator(inverse(bmat.bmat), bmat.W)
22
23 # Does it satisfy the definittion
24 assert is_well_defined(bmat)
25 # Try to see if sombody computes the eigenvalues
26 lmbda, U = extract_attributes(bmat, ('lmbda', 'U'))
27 # Do it your self
28 if U is None or lmbda is None:
29 A, M = extract_attributes(bmat, ('A', 'M'))
30 lmbda, U = eigh(A.array(), M.array())
31
32 diagonal = np.zeros_like(lmbda)
33 for alpha, s in collect(bmat):
34 diagonal[:] += alpha*(lmbda**s)
35 # Invert
36 diagonal[:] = 1./diagonal
37
38 array = U.dot(np.diag(diagonal).dot(U.T))
39
40 return numpy_to_petsc(array)
161@staticmethod
162@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 test
76 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())
81
82 vi = Vector(vi)
83 vi = vi * (1.0 / self.determinant())
84
85 rst.append(vi)
86
87 return Matrix(rst)
21def inv(x):
22 """
23 computes inverse of input matrix
24
25 Parameters
26 ----------
27 x : array_like (D, D)
28 square matrix
29
30 Returns
31 -------
32 Array
33 inverse of `x`
34
35 Raises
36 ------
37 ValueError
38 raises error if `x` is not square
39 """
40 if x.ndim != 2 or x.shape[0] != x.shape[1]:
41 raise ValueError
42 return _Inverse().forward(x)

Related snippets