'Envelope Programming' and Conjugate Duality.

Abstract

In a recent paper D. J. White presented a new approach to the problem of minimizing a differentiable convex function over a convex set. The idea begins with describing the convex function as the envelope of its tangent hyperplanes. With this description the given problem is represented in 'min max' form. An appeal to White's minimax theorem then permits one to interchange the extrema and arrive at a dual problem having 'max min' form. In the present paper White's approach is first generalized and analyzed and then related to well-known results in conjugate duality. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1973
Accession Number
AD0767128

Entities

People

  • L. Mclinden

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Algebra
  • Computer Programming
  • Computing-Related Activities
  • Convex Sets
  • Mathematical Analysis
  • Mathematics
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Statistical inference.
  • Theoretical Analysis.