Package linear_operators
source code
linear_operators is a package implementing estimation algorithms for
large scale linear problems. The workflow is as follows : generate a
linear model using LinearOperator instances as buildling blocks,
define a criterion to minimize using this model, and finally perform
minimization on the criterion using a given minimization algorithm.
Subpackages implements each part of this workflow. Here is a list of
the subpackages :
- interface : Taken from the scipy.sparse package. It implement the
LinearOperator class which replaces matrices and do not require to
store any matrix coefficient. It makes use of matrix-vector
operations instead.
- operators : A set of LinearOperator subclasses implementing various
linear operation on vectors and their transpose.
- ndoperators : A set of LinarOperator subclasses implementing
operations on multidimensional arrays.
- iterative : Contains the Criterion class which allows to define objective
function as well as minimizers such as the conjugate gradient algorithms
and wrappers to other minimizing algorithms.
- wrappers : define extra LinearOperator subclasses if optional
dependencies are available.
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__package__ = ' linear_operators '
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