...
首页> 外文期刊>International journal of knowledge engineering and soft data paradigms >Convergence of a Newton-like algorithm solving the nonlinear complementarity problem
【24h】

Convergence of a Newton-like algorithm solving the nonlinear complementarity problem

机译:求解非线性互补问题的类牛顿算法的收敛性

获取原文
获取原文并翻译 | 示例
           

摘要

In the paper, we examine conditions that guarantee the existence of a solution to the parametric nonlinear complementarity problem with a monotone (with respect to x) mapping f: R~n × R~m → R~n and ensure a Newton-like method convergence if the mapping f is strictly monotone and each of its components f_i is a concave function. In addition to that, we prove that the sequence of approximate solutions converges at a quadratic rate.
机译:在本文中,我们研究了条件,这些条件保证存在具有单调(相对于x)映射f的参数非线性互补问题的解:R〜n×R〜m→R〜n,并确保采用牛顿法如果映射f严格为单调且其每个分量f_i为凹函数,则表明收敛。除此之外,我们证明了近似解的序列以二次速率收敛。

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