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20192026
most citedA Sequential Constraint Method for Solving Variational Inequality over the Intersection of Fixed Point Sets

1 citations · 1 across the 5 of their papers we have counts for

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math.OC2026

Fixed-Point Delayed Subgradient Methods for Nonsmooth Convex Optimization Problems

Ontima Pankoon, Nimit Nimana, Yeol Je Cho

In this paper, we consider the nonsmooth convex optimization problems over the fixed point constraint sets of firmly nonexpansive operators. To find an optimal solution of the prob…

math.OC2026

Federated Incremental Subgradient Method for Convex Bilevel Optimization Problems

Sudkobfa Boontawee, Mootta Prangprakhon, Nimit Nimana

In this letter, we consider a bilevel optimization problem in which the outer-level objective function is strongly convex, whereas the inner-level problem consists of a finite sum…

math.OC2025

Subgradient Splitting Methods for Nonsmooth Fractional Programming with Fixed-Point Constraints

Mootta Prangprakhon, Nimit Nimana

We consider a class of nonsmooth fractional programming problems with fixed-point constraints, where the numerator is convex and the denominator is concave. To solve this problem,…

math.OC2020

Extrapolated Sequential Constraint Method for Variational Inequality over the Intersection of Fixed-Point Sets

Mootta Prangprakhon, Nimit Nimana

This paper deals with the solving of variational inequality problem where the constrained set is given as the intersection of a number of fixed-point sets. To this end, we present…

math.OC20201 cited

A Sequential Constraint Method for Solving Variational Inequality over the Intersection of Fixed Point Sets

Mootta Prangprakhon, Nimit Nimana, Narin Petrot

We consider the variational inequality problem over the intersection of fixed point sets of firmly nonexpansive operators. In order to solve the problem, we present an algorithm an…

math.OC2020

Star subgradient projection for solving quasi-convex feasibility problems

Nimit Nimana, Narin Petrot

In this work we consider an iterative method for solving the quasi-convex feasibility problem. We firstly introduce the so-called star subgradient projection operator and present s…