Stochastic geometric programming: approaches and applications

Abstract

In real-life applications of geometric programming, some of the coefficients and/or exponents need not be precisely known. We indicate which of general stochastic programming techniques and under which structural and distributional assumptions do not destroy the favorable structure of geometric programs.

Keywords

• Stochastic geometric programming
• applications
• statistical sensitivity analysis