首页> 外文期刊>The Journal of Nonlinear Sciences and its Applications >Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces
【24h】

Weak convergence of a modified subgradient extragradient algorithm for monotone variational inequalities in Banach spaces

机译:Banach空间中单调变分不等式的改进次梯度超梯度算法的弱收敛

获取原文
           

摘要

Applying the generalized projection operator, we introduce a modified subgradient extragradient algorithm in Banach spaces for a variational inequality involving a monotone Lipschitz continuous mapping which is more general than an inverse-strongly-monotone mapping. Weak convergence of the iterative algorithm is also proved. An advantage of the algorithm is the computation of only one value of the inequality mapping and one projection onto the admissible set per one iteration.
机译:应用广义投​​影算子,我们在Banach空间中引入了改进的次梯度超梯度算法,用于涉及单调Lipschitz连续映射的变分不等式,它比逆强单调映射更通用。还证明了迭代算法的弱收敛性。该算法的优势在于,每次迭代仅计算不等式映射的一个值和在可允许集合上的一个投影。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号