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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/29490
Title: GRNLP2 – a package for solving nonlinear programming problems using a new (minimax) approach with efficient gradient methods
Authors: Bandler, John W.
Chen, J.H.K.
Virendra K., Jha
Department: Electrical and Computer Engineering
Keywords: optimization;nonlinear programming;minimax optimization
Publication Date: Feb-1973
Publisher: Communications Research Laboratory
Citation: Bandler, 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.
Abstract: GRNLP2 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.
Description: Program 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.
Rights: This work is licensed under a Creative Commons Attribution-Non-Commercial-No-Derivatives 4.0 International License.
URI: http://hdl.handle.net/11375/29490
Appears in Collections:John Bandler Publications

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GRNLP2_Bandler_Chen_Jha_Nonlinear_Programming_1973.pdf
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CreativeCommonsCorp_Attribution_NonCommerical_NoDerivative_4.0_International_License.pdf
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