The convergence rate of a golden ratio algorithm for equilibrium problems
Dang Van Hieu

TL;DR
This paper proves the R-linear convergence rate of a golden ratio algorithm for equilibrium problems in Hilbert spaces and demonstrates its effectiveness through numerical experiments.
Contribution
It establishes the R-linear convergence rate of a new golden ratio algorithm for equilibrium problems, with empirical validation.
Findings
The algorithm converges at an R-linear rate.
Numerical experiments confirm the algorithm's efficiency.
Comparison shows advantages over existing methods.
Abstract
In this paper, we establish the -linear rate of convergence of a golden ratio algorithm for solving an equilibrium problem in a Hilbert space. Several experiments are performed to show the numerical behavior of the algorithm and also to compare with others.
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Optimization and Variational Analysis · Advanced Mathematical Theories and Applications
