A Self Adaptive Projected Gradient Method for Solving Non-Monotone Variational Inequalities
Duong Viet Thong (),
Vu Tien Dung () and
Hoang Thi Thanh Tam ()
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Duong Viet Thong: National Economics University
Vu Tien Dung: Vietnam National University
Hoang Thi Thanh Tam: National Economics University
Journal of Optimization Theory and Applications, 2025, vol. 206, issue 1, No 17, 27 pages
Abstract:
Abstract In this paper, we introduce a new modified golden ratio algorithm with adaptive stepsize rules for solving non-monotone variational inequalities in infinite-dimensional Hilbert spaces. The weak convergence and convergence rate of the proposed algorithm are established under some standard conditions. Finally, to demonstrate the practical efficacy of our method, we give some numerical illustrations and we apply the proposed algorithm to solve a network equilibrium flow problem, which is a fundamental problem in transportation infrastructure modeling. Additionally, we compare the performance of our algorithm with other existing methods.
Keywords: Variational inequalities; Non-monotone mapping; Weak convergence; Linear convergence rate; 47H09; 47H10; 47J20; 47J25; 65Y05; 65K15; 68W10 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:206:y:2025:i:1:d:10.1007_s10957-025-02674-9
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DOI: 10.1007/s10957-025-02674-9
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