非线性约束条件下的SQP可行方法

高自友, 吴方

应用数学学报 ›› 1995, Vol. 18 ›› Issue (4) : 579-590.

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PDF(652 KB)
应用数学学报 ›› 1995, Vol. 18 ›› Issue (4) : 579-590. DOI: 10.12387/C1995071
论文

非线性约束条件下的SQP可行方法

    高自友1, 吴方2
作者信息 +

A SQP FEASIBLE METHOD FOR NONLINEAR PROGRAMMING

    GAO ZIYOU1, WU FANG2
Author information +
文章历史 +

摘要

本文对非线性规划问题给出了一个具有一步超线性收敛速度的可行方法,由于此算法每步迭代均在可行域内进行,并且每步迭代只需计算一个二次子规划和一个逆矩阵,因而算法具有较好的实用价值,本文还在较弱的条件下证明了算法的全局收敛和一步超线性收敛性.

Abstract

In this paper, a one-step superlinearly convergent feasible algorithm for non-linear programming with nonlinear onstraints is proposed. Since the point generated by the algorithm is feasilbe per iteration and the algorithm only needs solve a sub-quadratic programming and a inverse matrix, the new algorithm has some good properties for tractical use. Under some milder conditions, the global convergence and local superlinear convergence are proven in this paper.

关键词

约束优化 / SQP方法 / 可行方法 / 收敛性

Key words

Constrained optimization / SQP method / feasible method / convergence

引用本文

导出引用
高自友, 吴方. 非线性约束条件下的SQP可行方法. 应用数学学报, 1995, 18(4): 579-590 https://doi.org/10.12387/C1995071
GAO ZIYOU, WU FANG. A SQP FEASIBLE METHOD FOR NONLINEAR PROGRAMMING. Acta Mathematicae Applicatae Sinica, 1995, 18(4): 579-590 https://doi.org/10.12387/C1995071

参考文献

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基金

国家自然科学基金
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