Accession Number:

ADA025724

Title:

Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming

Descriptive Note:

Technical rept.

Corporate Author:

STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB

Report Date:

1976-02-01

Pagination or Media Count:

51.0

Abstract:

The purpose of this paper is to describe a Generalized Reduced Gradient GRG algorithm for nonlinear programming, its implementation as a FORTRAN program for solving small to medium size problems, and some computational results. Our focus is more on the software implementation of the algorithm than on its mathematical properties. This is in line with the premise that robust, efficient, easy to use NLP software must be written and made accessible if nonlinear programming is to progress, both in theory and in practice.

Subject Categories:

  • Operations Research
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE