A golden ratio proximal method for monotone variational inequality problems
Abstract In this work, we propose a golden ratio proximal algorithm for solving monotone variational inequality problems in a real Hilbert space. It is a self-adaptive technique, endowed with a conjugate gradient type direction to facilitate convergence, and requires one evaluation of the underlying...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SpringerOpen
2025-12-01
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| Schriftenreihe: | Fixed Point Theory and Algorithms for Sciences and Engineering |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s13663-025-00814-4 |
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