Package parsimony :: Package algorithms :: Module multiblock :: Class MultiblockCONESTA

Class MultiblockCONESTA

            object --+        
                     |        
   bases.BaseAlgorithm --+    
                         |    
   bases.ExplicitAlgorithm --+
                             |
                object --+   |
                         |   |
  bases.IterativeAlgorithm --+
                             |
                object --+   |
                         |   |
bases.InformationAlgorithm --+
                             |
                            MultiblockCONESTA

An alternating minimising multiblock algorithm that utilises CONESTA in
the inner minimisation.

Parameters
----------
info : List or tuple of utils.consts.Info. What, if any, extra run
        information should be stored. Default is an empty list, which means
        that no run information is computed nor returned.

eps : Positive float. Tolerance for the stopping criterion.

outer_iter : Non-negative integer. Maximum allowed number of outer loop
        iterations.

max_iter : Non-negative integer. Maximum allowed number of iterations.

min_iter : Non-negative integer. Number of required iterations. Default
        is 1.

Instance Methods

[hide private]

__init__(self, mu_start=None, mu_min=5e-08, tau=0.5, outer_iter=20, info=[], eps=5e-08, max_iter=10000, min_iter=1)
x.__init__(...) initializes x; see help(type(x)) for signature source code

run(self, function, *args, **kwargs)
This function obtains a minimiser of a give function.

source code

Inherited from bases.BaseAlgorithm: get_params, set_params

Inherited from bases.IterativeAlgorithm: iter_reset

Inherited from bases.InformationAlgorithm: check_info_compatibility, info_copy, info_get, info_provided, info_requested, info_reset, info_set

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Static Methods

[hide private]

Inherited from bases.BaseAlgorithm: check_compatibility

Class Variables

[hide private]

INTERFACES = [<class 'parsimony.functions.multiblock.propertie...

INFO_PROVIDED = ['ok', 'num_iter', 'time', 'fvalue', 'converged']

__abstractmethods__ = frozenset([])

_abc_negative_cache_version = 14

Inherited from bases.ExplicitAlgorithm: __metaclass__

Inherited from bases.BaseAlgorithm (private): _abc_cache, _abc_negative_cache, _abc_registry

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, mu_start=None, mu_min=5e-08, tau=0.5, outer_iter=20, info=`[]`, eps=5e-08, max_iter=10000, min_iter=1)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

run(self, function, *args, **kwargs)

source code

This function obtains a minimiser of a give function.

Parameters
----------
function : The function to minimise.

x : A starting point.

Decorators:

@bases.force_reset
@bases.check_compatibility

Overrides: bases.ExplicitAlgorithm.run

(inherited documentation)

Class Variable Details

[hide private]

INTERFACES

Value:

[<class 'parsimony.functions.multiblock.properties.MultiblockFunction'
>,
 <class 'parsimony.functions.multiblock.properties.MultiblockGradient'
>,
 <class 'parsimony.functions.multiblock.properties.MultiblockProjectio
nOperator'>,
 <class 'parsimony.functions.multiblock.properties.MultiblockStepSize'
>]

Class MultiblockCONESTA

__init__(self, mu_start=None, mu_min=5e-08, tau=0.5, outer_iter=20, info=[], eps=5e-08, max_iter=10000, min_iter=1) (Constructor)

run(self, function, *args, **kwargs)

INTERFACES

init(self, mu_start=None, mu_min=5e-08, tau=0.5, outer_iter=20, info=`[]`, eps=5e-08, max_iter=10000, min_iter=1)
(Constructor)