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解变分不等式的三步松弛混合最速下降法 被引量:8

Three-Step Relaxed Hybrid Steepest-Descent Methods for Variational Inequalities
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摘要 在Hilbert空间的非空闭凸子集上研究了具有Lipschitz和强单调算子的经典变分不等式.为求解此变分不等式引入了一类新的三步松弛混合最速下降法.在算法参数的适当假设下,证明了此算法的强收敛性. The classical variational inequality problem with a Lipschitzian and strongly monotone operator on a nonempty dosed convex subset in a real Hilbert space was studied. A new three-step relaxed hybrid steepest-descent method for this class of variational inequalities was introduced. Strong convergence of this method was established under suitable assumptions imposed on the algorithm parameters.
出处 《应用数学和力学》 CSCD 北大核心 2007年第8期921-928,共8页 Applied Mathematics and Mechanics
基金 四川省教育厅重点科研基金资助项目(2003A081) 四川重点学科基金资助项目(0406)
关键词 变分不等式 松弛混合最速下降法 强收敛 非扩张映射 Hillbert空间 variational inequality relaxed hybrid steepest-descent method strong convergence nonexpansive mapping Hilbert space
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参考文献14

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同被引文献83

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