Geometric Programming for Continuous Design Problems,

Abstract

The present paper examines a certain extension of Geometric Programming for functionals defined in infinite-dimensional space. The intended application is for continuous problems in design optimization. A brief summary of previous work is given and the particular version of the primal problem to be studied is stated. The construction of the dual problem is presented using two approaches, one involving the formulation and reinterpretation of the Lagrangian functional and another utilizing the concepts of conjugate functions. Both approaches give the same results. The (generalized) zero degree of difficulty dual problem is solved exposing the similarities between the continuous case and the more familiar discrete one. Two simple structural design problems are included to illustrate the application of the method. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADP000071

Entities

People

  • Alejandro A Diaz
  • John Taylor
  • Panos Papalambros

Organizations

  • University of Michigan

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Programming
  • Computing-Related Activities
  • Construction
  • Convex Programming
  • Geometric Programming
  • Interdisciplinary Science
  • Mathematical Programming
  • Mathematics
  • Optimization

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design

Technology Areas

  • Space