A new primal-dual splitting algorithm unifies methods for monotone inclusions, handles non-cocoercive operators, reduces dimensionality, and allows larger stepsizes via a single convergence analysis.
Rockafellar, Monotone operators associated with saddle-functions and minimax problems, In: F.E
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A coefficient-matrix-based general forward-backward splitting framework for monotone inclusions that unifies prior methods and enables distributed implementations.
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Primal-dual splitting for structured composite monotone inclusions with or without cocoercivity
A new primal-dual splitting algorithm unifies methods for monotone inclusions, handles non-cocoercive operators, reduces dimensionality, and allows larger stepsizes via a single convergence analysis.
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A general approach to distributed operator splitting
A coefficient-matrix-based general forward-backward splitting framework for monotone inclusions that unifies prior methods and enables distributed implementations.