pylops.Zero¶
-
class
pylops.
Zero
(N, M=None, dtype='float64')[source]¶ Zero operator.
Transform model into array of zeros of size \(N\) in forward and transform data into array of zeros of size \(N\) in adjoint.
Parameters: Notes
An Zero operator simply creates a null data vector \(\mathbf{y}\) in forward mode:
\[\mathbf{0} \mathbf{x} = \mathbf{0}_N\]and a null model vector \(\mathbf{x}\) in forward mode:
\[\mathbf{0} \mathbf{y} = \mathbf{0}_M\]Attributes: Methods
__init__
(self, N[, M, dtype])Initialize this LinearOperator. adjoint
(self)Hermitian adjoint. apply_columns
(self, cols)Apply subset of columns of operator cond
(self, \*\*kwargs_eig)Condition number of linear operator. conj
(self)Complex conjugate operator div
(self, y[, niter])Solve the linear problem \(\mathbf{y}=\mathbf{A}\mathbf{x}\). dot
(self, x)Matrix-matrix or matrix-vector multiplication. eigs
(self[, neigs, symmetric, niter])Most significant eigenvalues of linear operator. matmat
(self, X)Matrix-matrix multiplication. matvec
(self, x)Matrix-vector multiplication. rmatmat
(self, X)Adjoint matrix-matrix multiplication. rmatvec
(self, x)Adjoint matrix-vector multiplication. todense
(self)Return dense matrix. transpose
(self)Transpose this linear operator.