Source code for pylops.basicoperators.Conj

import numpy as np

from pylops import LinearOperator
from pylops.utils.backend import get_array_module

[docs]class Conj(LinearOperator): r"""Complex conjugate operator. Return the complex conjugate of the input. It is self-adjoint. Parameters ---------- dims : :obj:`int` or :obj:`tuple` Number of samples for each dimension dtype : :obj:`str`, optional Type of elements in input array. Attributes ---------- shape : :obj:`tuple` Operator shape explicit : :obj:`bool` Operator contains a matrix that can be solved explicitly (``True``) or not (``False``) Notes ----- In forward mode: .. math:: y_{i} = \Re\{x_{i}\} - i\Im\{x_{i}\} \quad \forall i=0,\ldots,N-1 In adjoint mode: .. math:: x_{i} = \Re\{y_{i}\} - i\Im\{y_{i}\} \quad \forall i=0,\ldots,N-1 """ def __init__(self, dims, dtype="complex128"): self.shape = (, self.dtype = np.dtype(dtype) self.explicit = False self.clinear = False def _matvec(self, x): ncp = get_array_module(x) return ncp.conj(x) def _rmatvec(self, x): ncp = get_array_module(x) return ncp.conj(x)