dc.contributor.author 朱志斌 dc.contributor.author 张可村 dc.contributor.author 简金宝 dc.date.accessioned 2017-11-14T02:50:55Z dc.date.available 2017-11-14T02:50:55Z dc.date.issued 2007-03-15 dc.identifier.citation 数学学报,2007,(02):43-52 dc.identifier.issn 0583-1431 dc.identifier.other SXXB200702006 dc.identifier.uri https://dspace.xmu.edu.cn/handle/2288/154736 dc.description.abstract 本文针对非线性不等式约束优化问题,提出了一个新的可行序列等式约束二次规划算法．在每次迭代中,该算法只需求解三个相同规模且仅含等式约束的二次规划(必要时求解一个辅助的线性规划),因而其计算工作量较小．在一般的条件下,证明了算法具有全局收敛及超线性收敛性．数值实验表明算法是有效的． dc.description.abstract In this paper,a feasible sequential equality constrained quadratic program- ming algorithm is proposed to solve the nonlinear inequality constrained optimization. Per single iteration,it is only neccessary to sovle three equality constrained quadratic programmings with the same scale(or in addition,a linear programming),so the com- putational effort is reduced.The theoretical analysis shows that the algorithm is global and superlinear convergence under some suitable conditions.Numerical results show that the method in this paper is effective. dc.description.sponsorship 国家自然科学基金(10501009,60471039,10661005) dc.language.iso zh_CN dc.subject 不等式约束优化 dc.subject SQP算法 dc.subject 等式约束二次规划 dc.subject Inequality constrained optimization dc.subject SQP method dc.subject equality constrained quadratic programming dc.title 非线性最优化一个可行序列等式约束二次规划算法 dc.title.alternative A Feasible Equality Constrained SQP Algorithm for Nonlinear Optimization dc.type Article
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