Solving Mixed Variational Inequalities Beyond Convexity

Sorin-Mihai Grad () and Felipe Lara ()
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Sorin-Mihai Grad: University of Vienna
Felipe Lara: Universidad de Tarapacá

Journal of Optimization Theory and Applications, 2021, vol. 190, issue 2, No 9, 565-580

Abstract: Abstract We show that Malitsky’s recent Golden Ratio Algorithm for solving convex mixed variational inequalities can be employed in a certain nonconvex framework as well, making it probably the first iterative method in the literature for solving generalized convex mixed variational inequalities, and illustrate this result by numerical experiments.

Keywords: Variational inequalities; Quasiconvex functions; Proximal point algorithms; Golden Ratio Algorithms (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10957-021-01860-9

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