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采用WOLFE搜索的BFGS-SQP算法
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作者 宁伟 吴兴海 《东北师大学报(自然科学版)》 CAS CSCD 北大核心 2001年第4期31-36,共6页
采用WOLFE线性搜索原则来取代该BFGS -SQP算法的Armijo原则 ,经过类似的分析 ,同样得到了BFGS -SQP算法的全局收敛性及超线性收敛性 .
关键词 BFGS-SQP算法 全局收敛 超线性收敛 WOLFE线性搜索原则 LC线性约束最优化问题 Armijo原则
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A CLASS OF FACTORIZATION UPDATE ALGORITHM FOR SOLVING SYSTEMS OF SPARSE NONLINEAR EQUATIONS 被引量:2
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作者 白中治 王德人 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1996年第2期188-200,共13页
In this paper, we establish a class of sparse update algorithm based on matrix triangular factorizations for solving a system of sparse equations. The local Q-superlinear convergence of the algorithm is proved without... In this paper, we establish a class of sparse update algorithm based on matrix triangular factorizations for solving a system of sparse equations. The local Q-superlinear convergence of the algorithm is proved without introducing an m-step refactorization. We compare the numerical results of the new algorithm with those of the known algorithms, The comparison implies that the new algorithm is satisfactory. 展开更多
关键词 Quasi-Newton methods matrix factorization sparse update algorithm qsuperlinear convergence
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