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A modified reduced gradient method for dual posynomial programming
Authors:J G Ecker  W Gochet  Y Smeers
Institution:(1) Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, New York;(2) Department of Applied Economics, Katholieke Universiteit Leuven, Leuven, Belgium;(3) Center for Operations Research and Econometrics, Catholic University of Leuven, Leuven, Belgium;(4) Department of Engineering, Universite Catholique de Louvain, Louvain, Belgium
Abstract:In this paper, we present a method for solving the dual of a posynomial geometric program based on modifications of the reduced gradient method. The modifications are necessary because of the numerical difficulties associated with the nondifferentiability of the dual objective function. Some preliminary numerical results are included that compare the proposed method with the modified concave simplex method of Beck and Ecker of Ref. 1.This research was supported in part by the National Science Foundation, Grant No. MCS75-09443-A01.The authors sincerely thank P. Vandeputte for his computing assistance. We also wish to thank T. Magnanti and unknown referees for helpful criticism.
Keywords:Geometric programming  duality  reduced gradient method
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