SYMMETRIC DUALITY FOR GENERALIZED UNCONSTRAINED GEOMETRIC PROGRAMMING.

Abstract

The conjugate transform is used to generalize, symmetrize, and further study Duffin's original formulation of duality for unconstrained geometric programming. This study provides new economic interpretations for the geometric dual problem; and it yields new theorems concerning the existence, uniqueness, and characterization of optimal solutions. The economic interpretations come from a new closed-form solution to a related economically interesting class of convex programming problems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0704578

Entities

People

  • Elmor L. Peterson

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Programming
  • Convex Programming
  • Geometric Programming
  • Interdisciplinary Science
  • Mathematical Programming
  • Mathematics
  • Operations Research

Fields of Study

  • Mathematics

Readers

  • Operations Research