class pylops.MatrixMult(A, dims=None, dtype='float64')[source]

Matrix multiplication.

Simple wrapper to and numpy.vdot for an input matrix \(\mathbf{A}\).

A : numpy.ndarray or scipy.sparse matrix


dims : tuple, optional

Number of samples for each other dimension of model (model/data will be reshaped and A applied multiple times to each column of the model/data).

dtype : str, optional

Type of elements in input array.

shape : tuple

Operator shape

explicit : bool

Operator contains a matrix that can be solved explicitly (True) or not (False)


__init__(self, A[, dims, dtype]) Initialize this LinearOperator.
adjoint(self) Hermitian adjoint.
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.
inv(self) Return the inverse of \(\mathbf{A}\).
matmat(self, X) Matrix-matrix multiplication.
matvec(self, x) Matrix-vector multiplication.
rmatvec(self, x) Adjoint matrix-vector multiplication.
transpose(self) Transpose this linear operator.

Return the inverse of \(\mathbf{A}\).

Ainv : numpy.ndarray

Inverse matrix.