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首页> 外文期刊>Optimization: A Journal of Mathematical Programming and Operations Research >Homotopy method for solving mathematical programs with bounded box-constrained variational inequalities
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Homotopy method for solving mathematical programs with bounded box-constrained variational inequalities

机译:解决有界框约束变分不等式数学程序的同型方法

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摘要

On the basis of Robinson's normal equation and smoothing projection operator, a homotopy method for solving mathematical programs with box-constrained variational inequalities (MPBVI) is presented. In which, the Chen-Harker-Kanzow-Smale smooth function is used to transform MPBVI into a smooth optimization problem. Under some mild assumptions, the existence and global convergence of a smooth path from almost any initial point to the GKKT point of the approximate problems is proven. And, the convergence of the GKKT point to a strong C-stationary point of the original problems is proved. Finally, some numerical results are given to show the effectiveness and feasibility of the homotopy method.
机译:在罗宾逊的正常方程和平滑投影算子的基础上,提出了一种解决具有盒子约束变分不等式(MPBVI)的数学程序的同型方法。 其中,陈无耻 - kanzow - 气候光滑功能用于将MPBVI转化为平滑的优化问题。 在一些温和的假设下,已经证明了从几乎任何初始点到大致问题的GKKT点的平滑路径的存在和全局融合。 而且,证明了GKKT指向原始问题的强静态点的收敛。 最后,给出了一些数值结果来显示同型方法的有效性和可行性。

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