1.安徽信息工程学院 数学教研室, 安徽 芜湖 241000
2.三峡大学 理学院, 湖北 宜昌 443002
ZHONG Jiawei, male, Associate professor, research direction: optimization theory and algorithm. E-mail: jwzhong0718@126.com
E-mail: zmwang@ctgu.edu.cn
收稿:2025-09-27,
网络首发:2026-10-21,
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钟家伟,张明望,葛靖.P*(κ)-权线性互补问题基于核函数的全牛顿步可行内点算法[J].武汉大学学报自然科学英文版,
ZHONG Jiawei,ZHANG Mingwang,GE Jing.A Full-Newton Step Feasible Interior-Point Algorithm Based on a Kernel Function for P*(κ)-Weighted Linear Complementarity Problem[J].Wuhan University Journal of Natural Sciences,
钟家伟,张明望,葛靖.P*(κ)-权线性互补问题基于核函数的全牛顿步可行内点算法[J].武汉大学学报自然科学英文版, DOI:https://doi.org/10.1051/wujns/001.
ZHONG Jiawei,ZHANG Mingwang,GE Jing.A Full-Newton Step Feasible Interior-Point Algorithm Based on a Kernel Function for P*(κ)-Weighted Linear Complementarity Problem[J].Wuhan University Journal of Natural Sciences, DOI:https://doi.org/10.1051/wujns/XXXXXXXX001.
为求解
<math id="M4"><msub><mrow><mi>P</mi></mrow><mrow><mi mathvariant="normal">*</mi></mrow></msub><mo stretchy="false">(</mo><mi>κ</mi><mo stretchy="false">)</mo></math>
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https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=120735241&type=
8.18444443
4.51555586
-权线性互补问题,本文提出了一种基于核函数的全牛顿步可行内点算法。算法基于带有线性增长项的核函数,进而得到一个新的牛顿搜索方向。定义了
迭代点到中心路径的邻近测度,并对算法的可行性与收敛性进行了分析。证明了算法具有目前权线性互补问题最好的多项式时间迭代复杂度。初步数值实验结果验证了算法的有效性。
To solve
<math id="M3"><msub><mrow><mi>P</mi></mrow><mrow><mi mathvariant="normal">*</mi></mrow></msub><mo stretchy="false">(</mo><mi>κ</mi><mo stretchy="false">)</mo></math>
https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=120735268&type=
https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=120735257&type=
7.05555630
3.95111132
-weighted linear complementarity problems
a full-Newton step feasible interior-point algorithm based on a kernel function is proposed. The kernel function has a linear growth term
which yields a new Newton search direction. We define a proximity measure for the central path and analyze the feasibility and convergence of the full-Newton step algorithm. It is shown that the proposed algorithm has the currently best-known polynomial iteration complexity. Furthermore
some preliminary numerical results are provided to demonstrate the computational performance of the algorithm.
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