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Forward–Partial Inverse–Forward Splitting for Solving Monotone Inclusions
by
Briceño-Arias, Luis M.
in
Algorithms
/ Applications of Mathematics
/ Calculus of Variations and Optimal Control; Optimization
/ Engineering
/ Game theory
/ Games
/ Hilbert space
/ Inclusions
/ Inverse
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Operations Research/Decision Theory
/ Operators
/ Optimization
/ Optimization algorithms
/ Partial differential equations
/ Splitting
/ Studies
/ Subspaces
/ Theory of Computation
/ Vectors (mathematics)
2015
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Forward–Partial Inverse–Forward Splitting for Solving Monotone Inclusions
by
Briceño-Arias, Luis M.
in
Algorithms
/ Applications of Mathematics
/ Calculus of Variations and Optimal Control; Optimization
/ Engineering
/ Game theory
/ Games
/ Hilbert space
/ Inclusions
/ Inverse
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Operations Research/Decision Theory
/ Operators
/ Optimization
/ Optimization algorithms
/ Partial differential equations
/ Splitting
/ Studies
/ Subspaces
/ Theory of Computation
/ Vectors (mathematics)
2015
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Forward–Partial Inverse–Forward Splitting for Solving Monotone Inclusions
by
Briceño-Arias, Luis M.
in
Algorithms
/ Applications of Mathematics
/ Calculus of Variations and Optimal Control; Optimization
/ Engineering
/ Game theory
/ Games
/ Hilbert space
/ Inclusions
/ Inverse
/ Mathematical analysis
/ Mathematical models
/ Mathematics
/ Mathematics and Statistics
/ Methods
/ Operations Research/Decision Theory
/ Operators
/ Optimization
/ Optimization algorithms
/ Partial differential equations
/ Splitting
/ Studies
/ Subspaces
/ Theory of Computation
/ Vectors (mathematics)
2015
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Forward–Partial Inverse–Forward Splitting for Solving Monotone Inclusions
Journal Article
Forward–Partial Inverse–Forward Splitting for Solving Monotone Inclusions
2015
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Overview
In this paper, we provide a splitting method for finding a zero of the sum of a maximally monotone operator, a Lipschitzian monotone operator, and a normal cone to a closed vector subspace of a real Hilbert space. The problem is characterised by a simpler monotone inclusion involving only two operators: the partial inverse of the maximally monotone operator with respect to the vector subspace and a suitable Lipschitzian monotone operator. By applying the Tseng’s method in this context, we obtain a fully split algorithm that exploits the whole structure of the original problem and generalises partial inverse and Tseng’s methods. Connections with other methods available in the literature are provided, and the flexibility of our setting is illustrated via applications to some inclusions involving
m
maximally monotone operators, to primal-dual composite monotone inclusions, and to zero-sum games.
Publisher
Springer US,Springer Nature B.V
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