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来源类型Article
规范类型其他
DOI10.1080/02331938908843462
On the local and global convergence of a reduced Quasi-Newton method1.
Gilbert J-C
发表日期1989
出处Optimization 20 (4): 421-450
出版年1989
语种英语
摘要In optimization in Rn with m nonlinear equality constraints, we study the local convergence of reduced quasi-Newton methods, in which the updated matrix is of order n−m Furthermore, we give necessary and sufficient conditions for superlinear convergence (in one step) and we introduce a device to globalize the local algorithm, It consists in determining a step along an arc in order to decrease an exact penalty function and we give conditions so that asymptotically the step-size will be equal to one.
主题System and Decision Sciences - Core (SDS)
关键词constrained optimization, successive quadratic programming, reduced quasi-newton method, superlinear convergence, exact penalty function, are search, step-size selection procedure, global convergence,
URLhttp://pure.iiasa.ac.at/id/eprint/12800/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127063
推荐引用方式
GB/T 7714
Gilbert J-C. On the local and global convergence of a reduced Quasi-Newton method1.. 1989.
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