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A One-Step Smoothing Newton Method Based on a New Class of One-Parametric Nonlinear Complementarity Functions for P_0-NCP

机译:基于新类别的P_0-NCP的新类别一参数非线性互补函数的一步平滑牛顿方法

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Nonlinear complementarity problem with Po-function is studied. Based on a new class of one-parametric nonlinear complementarity functions, the problem is approximated by a family of parameterized smooth equations and a one-step smoothing Newton method is presented. The proposed algorithm only need to solve one system of linear equations and perform one line search per iteration. It is proved to be convergent globally and super linearly without strict complementarity. Moreover, the algorithm has locally quadratic convergence under mild conditions.
机译:研究了PO函数的非线性互补问题。基于新类的一类参数非线性互补函数,问题由一个参数化平滑方程族近似,并呈现一步平滑的牛顿方法。所提出的算法仅需要解决一个线性方程系统并执行一次迭代的一行搜索。在没有严格的互补性的情况下被证明是全球和超级线性的收敛性。此外,该算法在温和条件下具有局部二次收敛。

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