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首页> 外文期刊>Journal of industrial and management optimization >GLOBAL CONVERGENCE OF AN INEXACT OPERATOR SPLITTING METHOD FOR MONOTONE VARIATIONAL INEQUALITIES
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GLOBAL CONVERGENCE OF AN INEXACT OPERATOR SPLITTING METHOD FOR MONOTONE VARIATIONAL INEQUALITIES

机译:单调变分不等式不精确算子分裂方法的全局收敛性

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摘要

Recently, Han (Han D, Inexact operator splitting methods with self-adaptive strategy for variational inequality problems, Journal of Optimization Theory and Applications 132, 227-243 (2007)) proposed an inexact operator splitting method for solving variational inequality problems. It has advantage over the classical operator splitting method of Douglas-Peaceman-Rachford-Varga operator splitting methods (DPRV methods) and some of their variants, since it adopts a very flexible approximate rule in solving the subprob-lem in each iteration. However, its convergence is established under somewhat stringent condition that the underlying mapping F is strongly monotone. In this paper, we mainly establish the global convergence of the method under weaker condition that the underlying mapping F is monotone, which extends the fields of applications of the method relatively. Some numerical results are also presented to illustrate the method.
机译:最近,Han(Han D,具有变分不等式问题的自适应策略的不精确算子分裂方法,《优化理论与应用学报》 132,227-243(2007))提出了一种解决变分不等式问题的不精确算子分裂方法。它比Douglas-Peaceman-Rachford-Varga算子分裂方法(DPRV方法)及其某些变体的经典算子分裂方法更具优势,因为它在每次迭代中均采用非常灵活的近似规则来求解子问题。但是,它的收敛是在基本映射F是强单调的某种严格条件下建立的。本文主要建立在底层映射F为单调的较弱条件下该方法的全局收敛性,从而相对扩展了该方法的应用领域。还提供了一些数值结果来说明该方法。

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