lsst.scarlet.lite ge1c02a5578+d801c9999e
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lsst.scarlet.lite.parameters.FistaParameter Class Reference
Inheritance diagram for lsst.scarlet.lite.parameters.FistaParameter:
lsst.scarlet.lite.parameters.Parameter

Public Member Functions

 __init__ (self, np.ndarray x, float step, Callable|None grad=None, Callable|None prox=None, float t0=1, np.ndarray|None z0=None)
 update (self, int it, np.ndarray input_grad, *args)
FistaParameter __deepcopy__ (self, dict[int, Any]|None memo=None)
FistaParameter __copy__ (self)
Public Member Functions inherited from lsst.scarlet.lite.parameters.Parameter
 __init__ (self, np.ndarray x, dict[str, np.ndarray] helpers, Callable|float step, Callable|None grad=None, Callable|None prox=None)
float step (self)
tuple[int,...] shape (self)
npt.DTypeLike dtype (self)
Parameter __copy__ (self)
Parameter __deepcopy__ (self, dict[int, Any]|None memo=None)
Parameter copy (self, bool deep=False)
 resize (self, Box old_box, Box new_box)

Public Attributes

 t = t0
Public Attributes inherited from lsst.scarlet.lite.parameters.Parameter
 x = x
 helpers = helpers
 grad = grad
 prox = prox

Additional Inherited Members

Protected Attributes inherited from lsst.scarlet.lite.parameters.Parameter
 _step = _step

Detailed Description

A `Parameter` that updates itself using the Beck-Teboulle 2009
FISTA proximal gradient method.

See https://www.ceremade.dauphine.fr/~carlier/FISTA

Member Function Documentation

◆ __copy__()

FistaParameter lsst.scarlet.lite.parameters.FistaParameter.__copy__ ( self)
Create a shallow copy of this parameter.

Returns
-------
parameter:
    A shallow copy of this parameter.

◆ __deepcopy__()

FistaParameter lsst.scarlet.lite.parameters.FistaParameter.__deepcopy__ ( self,
dict[int, Any] | None memo = None )
Create a deep copy of this parameter.

Parameters
----------
memo:
    A memoization dictionary used by `copy.deepcopy`.
Returns
-------
parameter:
    A deep copy of this parameter.

◆ update()

lsst.scarlet.lite.parameters.FistaParameter.update ( self,
int it,
np.ndarray input_grad,
* args )
Update the parameter and meta-parameters using the PGM

See `Parameter` for the full description.

Reimplemented from lsst.scarlet.lite.parameters.Parameter.


The documentation for this class was generated from the following file:
  • python/lsst/scarlet/lite/parameters.py