Strongly Convergent Inertial Proximal Point Algorithm Without On-line Rule

We present a strongly convergent Halpern-type proximal point algorithm with double inertial effects to find a zero of a maximal monotone operator in Hilbert spaces. The strong convergence results are obtained without on-line rule of the inertial parameters and the iterates. This makes our proof argu...

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Veröffentlicht in:	Journal of optimization theory and applications 2024-02, Vol.200 (2), p.555-584
Hauptverfasser:	Jolaoso, Lateef O., Shehu, Yekini, Yao, Jen-Chih
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications of Mathematics Applied mathematics Calculus of Variations and Optimal Control Optimization Codes Convergence Engineering Hilbert space Image restoration Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Theory of Computation
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