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A subgradient algorithm for a class of nonlinear split feasibility problems: application to jointly constrained Nash equilibrium models

机译:一类非线性分裂可行性问题的次梯度算法:在联合约束的纳什均衡模型中的应用

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摘要

In this paper we propose an algorithm for solving the split feasibility problem xC,AxQ with C being the solution set of an equilibrium problem and A can be nonlinear. The proposed algorithm is a combination between the projection method for the equilibrium problem and the gradient method for the inclusion AxQ. The convergence of the algorithm is investigated. A numerical example for a jointly constrained Nash equilibrium model in electricity production market is provided to demonstrate the behavior of the algorithm.
机译:在本文中,我们提出了一种求解分裂可行性问题xC,AxQ的算法,其中C是一个平衡问题的解集,而A可以是非线性的。所提出的算法是针对平衡问题的投影方法与针对包含AxQ的梯度方法的结合。研究了算法的收敛性。提供了电力生产市场中联合约束纳什均衡模型的数值示例,以证明该算法的行为。

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