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解非线性混合似变分不等式的预测-校正迭代算法
引用本文:丁协平.解非线性混合似变分不等式的预测-校正迭代算法[J].四川师范大学学报(自然科学版),2003,26(1):1-5.
作者姓名:丁协平
作者单位:四川师范大学,数学与软件科学学院,四川,成都,610066
基金项目:国家自然科学基金 (1 9871 0 59),四川省教育厅重点科研基金资助项目~~
摘    要:对映象引入了部分松驰η-强单调性概念,应用辅助变分不等式技巧,建议和分析了求解非线性混合似变分不等式的预测-校正迭代算法,算法的收敛证明仅需要映象的部分松驰η-强单调性,此性质比η-余强制性更弱,这些算法的收敛性结果 的且推广了文献中某些已知结果。

关 键 词:非线性混合似变分不等式  辅助变分原理  部分松驰η-强单调性  预测-校正迭代算法  收敛性

Predictor-Corrector Iterative Algorithms for Solving Nonlinear Mixed Variational-like Inequalities
Abstract.Predictor-Corrector Iterative Algorithms for Solving Nonlinear Mixed Variational-like Inequalities[J].Journal of Sichuan Normal University(Natural Science),2003,26(1):1-5.
Authors:Abstract
Abstract:The concept of partially relaxed η-strong monotonicity of set-valued mappings is introduced. By applying the auxiliary variational inequality technique, some new predictor-corrector iterative algorithms for solving nonlinear mixed variational-like inequalities are suggested and analyzed. The convergence of the algorithms only need the partially relaxed η-strong monotonicity of mappings which is weaker than the η-cocoercivity. These algorithms and convergence results are new, and generalize some known results in literatures.
Keywords:Nonlinear mixed variational-like inequality  Auxiliary variational principle  Predictor-corrector iterative algorithm
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