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

Abstract

Generalized Reduced Gradient (GRG) Methods are algorithms for solving nonlinear programs of general structure. An earlier paper discussed the basic principles of GRG and presented the preliminary design of a GRG computer code. This paper describes a modified version of that initial design, including the experiences that led to the modifications. This paper also is intended to serve as partial system documentation. The code is compared computationally with an interior penalty function code, and anticipated future work on the algorithm is outlined.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1975
Accession Number
ADA009402

Entities

People

  • Allan D. Waren
  • Arvind Jain
  • Leon S. Lasdon
  • Margery W. Ratner

Organizations

  • Case Western Reserve University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Computations
  • Computer Programming
  • Convergence
  • Equations
  • Errors
  • Interpolation
  • Iterations
  • Linear Arrays
  • Linear Programming
  • Military Research
  • Numbers
  • Operations Research
  • Procedures (Computers)
  • Real Numbers
  • Test And Evaluation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science.
  • Distributed Systems and Data Platform Development