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来源类型Article
规范类型其他
DOI10.1007/BF00932516
Generalized Lagrange multiplier technique for nonlinear programming.
Evtushenko Y
发表日期1977
出处Journal of Optimization Theory and Applications 21 (2): 121-135
出版年1977
语种英语
摘要Our aim here is to present numerical methods for solving a general nonlinear programming problem. These methods are based on transformation of a given constrained minimization problem into an unconstrained maximin problem. This transformation is done by using a generalized Lagrange multiplier technique. Such an approach permits us to use Newton's and gradient methods for nonlinear programming. Convergence proofs are provided, and some numerical results are given.
主题System and Decision Sciences - Core (SDS)
关键词Nonlinear programming max-min problems Lagrange multiplier technique Newton's method
URLhttp://pure.iiasa.ac.at/id/eprint/13230/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/126624
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GB/T 7714
Evtushenko Y. Generalized Lagrange multiplier technique for nonlinear programming.. 1977.
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