Base Operators¶

`linop` sub-module — basic linear operators¶

Class / Function	Description
`BaseLinearOperator`	Abstract base class for all linear operators in the library.
`LinearOperator`	Class representing a general linear operator defined by matrix-vector multiplication routines.
`IdentityOperator`	Linear operator representing an identity matrix.
`DiagonalOperator`	Linear operator representing a diagonal matrix.
`MatrixLinearOperator`	Linear operator wrapper around a standard 2D NumPy array.
`ZeroOperator`	Linear operator that maps any vector to a zero vector.
`InverseLO`	Linear operator representing the inverse of another linear operator.
`ReducedLinearOperator`	Linear operator wrapper that restricts inputs and outputs to a subset of indices.
`SymmetricallyReducedLinearOperator`	Reduced linear operator where the row and column restrictions are symmetric.
`aslinearoperator`	Helper function to cast a 2D array, matrix, or callable into a `LinearOperator`.

Class	Description
`BlockLinearOperator`	General block-structured linear operator composed of smaller sub-operators.
`BlockDiagonalLinearOperator`	Block-linear operator with non-zero sub-operators only along the diagonal.
`BlockHorizontalLinearOperator`	Block-linear operator arranged horizontally.
`BlockVerticalLinearOperator`	Block-linear operator arranged vertically.

Class	Description
`NoiseCovLinearOperator`	Base class for noise covariance operators.
`InvNoiseCovLinearOperator`	Base class for inverse noise covariance operators.
`BaseBlockDiagNoiseCovLinearOperator`	Base class for block-diagonal noise covariance operators.
`BaseBlockDiagInvNoiseCovLinearOperator`	Base class for inverse block-diagonal noise covariance operators.

Class	Description
`BaseProcessTimeSamples`	Abstract base class for processing pointing information and pre-computing map-making weights.