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Titlebook: Optimization Techniques; Proceedings of the 9 K. Iracki,K. Malanowski,S. Walukiewicz Conference proceedings 1980 Springer-Verlag Berlin Hei

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書目名稱Optimization Techniques
副標(biāo)題Proceedings of the 9
編輯K. Iracki,K. Malanowski,S. Walukiewicz
視頻videohttp://file.papertrans.cn/704/703165/703165.mp4
叢書名稱Lecture Notes in Control and Information Sciences
圖書封面Titlebook: Optimization Techniques; Proceedings of the 9 K. Iracki,K. Malanowski,S. Walukiewicz Conference proceedings 1980 Springer-Verlag Berlin Hei
出版日期Conference proceedings 1980
關(guān)鍵詞Algebra; Optimization; Quasi-Newton method; STATISTICA; algorithms; linear optimization; nonlinear optimiz
版次1
doihttps://doi.org/10.1007/BFb0006580
isbn_softcover978-3-540-10081-2
isbn_ebook978-3-540-38253-9Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1980
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發(fā)表于 2025-3-21 22:16:47 | 只看該作者
https://doi.org/10.1007/BFb0006580Algebra; Optimization; Quasi-Newton method; STATISTICA; algorithms; linear optimization; nonlinear optimiz
板凳
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地板
發(fā)表于 2025-3-22 05:33:24 | 只看該作者
5#
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0170-8643 Overview: 978-3-540-10081-2978-3-540-38253-9Series ISSN 0170-8643 Series E-ISSN 1610-7411
6#
發(fā)表于 2025-3-22 13:38:20 | 只看該作者
A method for solving equality constrained optimization problems by unconstrained minimization,ed minimization. The main computational problems arising in the minimization of the augmented Lagrangian are discussed and a procedure for the automatic selection of the penalty coefficient is described. Numerical results obtained for a set of standard test problems are reported.
7#
發(fā)表于 2025-3-22 19:59:04 | 只看該作者
Alternative group relaxation of integer programming problems,ent computational load and different relaxation..The aim of this work is to analyze some group problems, associated to the same (IP), both from the point of view of the relaxation of the (IP) and of the complexity of the group solution algorithm; evaluation criteria for these group problems are pointed out.
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Factorized variable metric algorithms for unconstrained optimization,ison has been done between the LDL. decomposition of the BFS algorithm versus its unfactorized version. The special feature of this comparison consists in the choice of test problems most of them possessing severe ill-conditioning characteristics. Numerical results show with sufficient evidence that
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