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The :mod:`parsimony.algorithms.multiblock` module includes several multiblock algorithms.
Algorithms may not store states. I.e., if they are classes, do not keep references to objects with state in the algorithm objects. It should be possible to copy and share algorithms between e.g. estimators, and thus they should not depend on any state.
Created on Thu Feb 20 22:12:00 2014
Copyright (c) 2013-2014, CEA/DSV/I2BM/Neurospin. All rights reserved.
Author: Tommy Löfstedt
License: BSD 3-clause.
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MultiblockFISTA The projected or proximal gradient algorithm with alternating minimisations in a multiblock setting. |
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MultiblockCONESTA An alternating minimising multiblock algorithm that utilises CONESTA in the inner minimisation. |
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__package__ =
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