Consistency, Superconsistency, and Dual Degeneracy in Posynomial Geometric Programming

Published Online:https://doi.org/10.1287/opre.24.2.325

This paper gives a method by which any consistent geometric programming problem may be reduced to a superconsistent or unconstrained geometric programming problem. We show that a consistent geometric programming problem is not superconsistent if and only if the dual geometric programming problem has an unbounded optimal solution set or an unattained supremum. Reduction of the dual to canonical form, i.e., reduction to an equivalent problem with a bounded optimal solution set, is shown to be dual to the reduction of a consistent primal program to an equivalent superconsistent program.

INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.