Generalized Lagrange Multiplier Technique for Nonlinear Programming

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/233 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/233 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/233 archive 351 disk0/00/00/02/47 2016-01-15 01:41:34 2021-08-27 17:07:41 2016-01-15 01:41:34 monograph show 4 Evtushenko Y. AL0108 Generalized Lagrange Multiplier Technique for Nonlinear Programming pub iis_met prog_sds 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 and gradient methods for nonlinear programming. Convergence proofs are provided and some numerical results are given. 1975-06 published RR-75-013 RR-75-013 10 1867 public research_report IIASA, Laxenburg, Austria 27 TRUE FALSE info:eu-repo/semantics/book