Penalty Function versue Nonpenalty Function Methods for Constrained Nonlinear Programming Problems.

Abstract

The relative merits of using sequential unconstrained methods for solving: minimize f(x) subject to g sub i (x) > or == 0, i = 1,...,m, h sub j (x) = 0, j = 1,...,p versus methods which handle the constraints directly are explored. Nonlinearly constrained problems are emphasized. Both classes of methods are analyzed as to parameter selection requirements, convergence to first and second-order Kuhn-Tucker Points, rate of convergence, matrix conditioning problems and computations required. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1971
Accession Number
AD0726322

Entities

People

  • Garth P. Mccormick

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computations
  • Computer Programming
  • Computing-Related Activities
  • Convergence
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematical Programming
  • Mathematics
  • Nonlinear Programming

Readers

  • Operations Research