MONOTONIC ITERATIVE ALGORITHMS FOR A QUASICOMPLEMENTARITY PROBLEM

Shu-zi zhou; Wu-ping Zan; Jin-ping Zeng 20f

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MONOTONIC ITERATIVE ALGORITHMS FOR A QUASICOMPLEMENTARITY PROBLEM

机译：拟定可能性问题的单调迭代算法

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摘要

ew present two iterative algorithms, so called SCP and SA respectively, for solving quasicomplementarity problem (QCP). Algorithm SCP is to approximate QCP by a se- quence of ordinary complementarity problems (CP). SA is a Schwarz algorithm which can be implemented parallelly. We prove the algorithm above are monotonically convergent.

机译：ew提出了两种迭代算法，分别称为SCP和SA，用于解决准互补问题（QCP）。算法SCP通过一系列普通互补问题（CP）来近似QCP。 SA是可以并行执行的Schwarz算法。我们证明了上述算法是单调收敛的。

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来源
《Journal of Computational Mathematics》 |2001年第3期|p.293-298|共6页
作者
Shu-zi zhou; Wu-ping Zan; Jin-ping Zeng 20f;
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正文语种 eng
中图分类计算数学;
关键词
Quasicomplementarity problem; Iterative algorithm; Monotonic convergence;

机译：拟互补问题;迭代算法;单调收敛;

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MONOTONIC ITERATIVE ALGORITHMS FOR A QUASICOMPLEMENTARITY PROBLEM

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