Splitting algorithms for solving state-dependent maximal monotone inclusion problems

We consider the state-dependent maximal monotone inclusion problem and propose forward-backward splitting algorithms for solving it. Strong convergence of the proposed algorithms is established under suitable conditions. For the special separable case, we present an improved Douglas-Rachford variant...

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Veröffentlicht in:Optimization Jg. 74; H. 9; S. 2113 - 2136
Hauptverfasser: Li, Xiaoxiao, Dong, Qiao-Li, Gibali, Aviv
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Taylor & Francis 04.07.2025
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ISSN:0233-1934, 1029-4945
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Abstract We consider the state-dependent maximal monotone inclusion problem and propose forward-backward splitting algorithms for solving it. Strong convergence of the proposed algorithms is established under suitable conditions. For the special separable case, we present an improved Douglas-Rachford variant that can be easily implemented. Moreover, some accelerated forward-backward splitting algorithms are also presented. Preliminary numerical experiments with comparisons to existing results are presented, illustrating the advantages of our methods.
AbstractList We consider the state-dependent maximal monotone inclusion problem and propose forward-backward splitting algorithms for solving it. Strong convergence of the proposed algorithms is established under suitable conditions. For the special separable case, we present an improved Douglas-Rachford variant that can be easily implemented. Moreover, some accelerated forward-backward splitting algorithms are also presented. Preliminary numerical experiments with comparisons to existing results are presented, illustrating the advantages of our methods.
Author Li, Xiaoxiao
Dong, Qiao-Li
Gibali, Aviv
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  givenname: Aviv
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Snippet We consider the state-dependent maximal monotone inclusion problem and propose forward-backward splitting algorithms for solving it. Strong convergence of the...
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SubjectTerms Douglas-Rachford splitting algorithm
forward-backward splitting algorithm
inertial acceleration algorithm
State-dependent maximal monotone inclusion
Title Splitting algorithms for solving state-dependent maximal monotone inclusion problems
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