# pylops.Roll#

class pylops.Roll(dims, axis=-1, shift=1, dtype='float64', name='R')[source]#

Roll along an axis.

Roll a multi-dimensional array along axis for a chosen number of samples (shift).

Parameters
dims

Number of samples for each dimension

axisint, optional

New in version 2.0.0.

Axis along which model is rolled.

shiftint, optional

Number of samples by which elements are shifted

dtypestr, optional

Type of elements in input array.

namestr, optional

New in version 2.0.0.

Name of operator (to be used by pylops.utils.describe.describe)

Notes

The Roll operator is a thin wrapper around numpy.roll and shifts elements in a multi-dimensional array along a specified direction for a chosen number of samples.

Attributes
shapetuple

Operator shape

explicitbool

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

Methods

 __init__(dims[, axis, shift, dtype, name]) adjoint() apply_columns(cols) Apply subset of columns of operator cond([uselobpcg]) Condition number of linear operator. conj() Complex conjugate operator div(y[, niter, densesolver]) Solve the linear problem $$\mathbf{y}=\mathbf{A}\mathbf{x}$$. dot(x) Matrix-matrix or matrix-vector multiplication. eigs([neigs, symmetric, niter, uselobpcg]) Most significant eigenvalues of linear operator. matmat(X) Matrix-matrix multiplication. matvec(x) Matrix-vector multiplication. reset_count() Reset counters rmatmat(X) Matrix-matrix multiplication. rmatvec(x) Adjoint matrix-vector multiplication. todense([backend]) Return dense matrix. toimag([forw, adj]) Imag operator toreal([forw, adj]) Real operator tosparse() Return sparse matrix. trace([neval, method, backend]) Trace of linear operator. transpose()

Roll

Roll