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 pairs- Parameters
- Op
pylops.LinearOperator
PyLops linear operator
- max_neval
int
, optional Maximum number of previous evaluations stored, use
np.inf
for infinite memory
- Op
- Attributes
Methods
__init__
(Op[, max_neval])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
()