pylops.MemoizeOperator¶
-
class
pylops.
MemoizeOperator
(Op, max_neval=10)[source]¶ Memoize Operator.
This operator can be used to wrap any PyLops operator and add a memoize functionality and stores the last
max_neval
model/data vector pairsParameters: - Op :
pylops.LinearOperator
PyLops linear operator
- max_neval :
int
, optional Maximum number of previous evaluations stored, use
np.inf
for infinite memory
Attributes: Methods
__init__
(Op[, max_neval])Initialize this LinearOperator. adjoint
()Hermitian adjoint. apply_columns
(cols)Apply subset of columns of operator cond
([uselobpcg])Condition number of linear operator. conj
()Complex conjugate operator div
(y[, niter])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. 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
()Transpose this linear operator. - Op :