Large Scale Nonlinear Programming Using The Generalized Reduced Gradient Method

[+] Author and Article Information
G. A. Gabriele

U. S. Army Computer Systems Command, Georgia Institute of Technology, Atlanta, Ga.

K. M. Ragsdell

School of Mechanical Engineering, Purdue University, West Lafayette, Ind.

J. Mech. Des 102(3), 566-573 (Jul 01, 1980) (8 pages) doi:10.1115/1.3254786 History: Received March 01, 1980; Online November 17, 2009


An extension of the generalized reduced gradient (GRG) method to large scale nonlinear programs with nonlinear constraints is discussed. The approach presented here represents the adoption of efficient methods for sparse matrices within the framework of the GRG algorithm. The resulting code, LGOPT, is described, and experience with a class of minimum weight structural problems is given.

Copyright © 1980 by ASME
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