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GRNLP2 – a package for solving nonlinear programming problems using a new (minimax) approach with efficient gradient methods

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dc.contributor.authorBandler, John W.
dc.contributor.authorChen, J.H.K.
dc.contributor.authorVirendra K., Jha
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.date.accessioned2024-02-01T18:20:02Z
dc.date.available2024-02-01T18:20:02Z
dc.date.issued1973-02
dc.descriptionProgram package produced by John W. Bandler, J.H.K. Chen, and Virendra K. Jha. This work is licensed under a Creative Commons Attribution-Non-Commercial-No-Derivatives 4.0 International License.en_US
dc.description.abstractGRNLP2 is a corrected version of GRADNLP to be used for solving constrained optimization problems. A new technique proposed by Bandler and Charalambous is used to transform the constrained optimization problem into the minimization of an unconstrained objective function.en_US
dc.identifier.citationBandler, John W., J.H.K. Chen, and Virendra K. Jha, “GRNLP2- a package for solving nonlinear programming problems using a new (minimax) approach with efficient gradient methods,” Communications Research Laboratory, Department of Electrical Engineering, McMaster University, Hamilton, Ontario, February 1973.en_US
dc.identifier.urihttp://hdl.handle.net/11375/29490
dc.language.isoenen_US
dc.publisherCommunications Research Laboratoryen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-Non-Commercial-No-Derivatives 4.0 International License.en
dc.subjectoptimizationen_US
dc.subjectnonlinear programmingen_US
dc.subjectminimax optimizationen_US
dc.titleGRNLP2 – a package for solving nonlinear programming problems using a new (minimax) approach with efficient gradient methodsen_US
dc.typeTechnical Reporten_US

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