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object --+ | bases.BaseAlgorithm --+ | bases.ExplicitAlgorithm --+ | object --+ | | | bases.IterativeAlgorithm --+ | object --+ | | | bases.InformationAlgorithm --+ | MultiblockFISTA
The projected or proximal gradient algorithm with alternating minimisations in a multiblock setting. Parameters ---------- info : List or tuple of utils.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. max_iter : Non-negative integer. Maximum total allowed number of iterations. min_iter : Non-negative integer less than or equal to max_iter. Minimum number of iterations that must be performed. Default is 1.
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Inherited from Inherited from Inherited from Inherited from |
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Inherited from |
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INTERFACES =
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INFO_PROVIDED =
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__abstractmethods__ =
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_abc_negative_cache_version = 14
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Inherited from Inherited from |
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Inherited from |
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x.__init__(...) initializes x; see help(type(x)) for signature
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This function obtains a minimiser of a give function. Parameters ---------- function : The function to minimise. x : A starting point.
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INTERFACES
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INFO_PROVIDED
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