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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/29488
Title: GRADNLP – a package for solving nonlinear programming problems using a new (minimax) approach with efficient gradient methods
Authors: Bandler, John W.
Jha, Virendra K.
Department: Electrical and Computer Engineering
Keywords: optimization;nonlinear programming;minimax optimization
Publication Date: Jan-1972
Publisher: Communications Research Laboratory
Citation: Bandler, John W. and Virendra K. Jha, “GRADNLP - 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, January 1972.
Abstract: GRANDLP, a slightly modified version of GRADMIN, 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 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/11375/29488
Appears in Collections:John Bandler Publications

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GRADNLP_Bandler_Jha_Nonlinear_Programming_1972.pdf
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CreativeCommonsCorp_Attribution_NonCommerical_NoDerivative_4.0_International_License.pdf
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