Summary of Research under ARO Contract DAAG-79-C-0023.

Abstract

This research has investigated several topics in solving unconstrained minimization, systems of nonlinear equations, and indefinite linearly constrained minimization problems. In unconstrained minimization, a new projected update was developed and tested. While marginal improvements over the BFGS were found, they probably do not justify the use of the new update. The use of conic models for unconstrained minimization problems when analytic or finite difference derivatives are available was also investigated, and a new algorithm was developed and tested. The results show reasonable improvements in many cases, and indicate that conic algorithms for minimization should continue to be considered. Recently we have also developed a tensor algorithm for solving systems of nonlinear equations, and the preliminary computational results show considerable improvements over the corresponding standard algorithm, especially on problems where the Jacobian at the solution is singular. This approach seems to hold excellent promise. Other research in linearly constrained minimization and deriving and analyzing least change secant updates also is reported. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 11, 1981
Accession Number
ADA105951

Entities

People

  • Robert B. Schnabel

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Programming
  • Computer Science
  • Contracts
  • Convergence
  • Equations
  • Iterations
  • Linear Programming
  • Linear Systems
  • Mathematical Programming
  • New Jersey
  • Nonlinear Programming
  • Optimization
  • Scientists
  • Test Sets
  • Two Dimensional

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  • Operations Research