Skip to search formSkip to main contentSkip to account menu

Geometric programming

Known as: GP, Geometric program 
A geometric program (GP) is an optimization problem of the form Minimize subject to where are posynomials and are monomials. In the context of… 
Wikipedia (opens in a new tab)

Related topics

Related topics

8 relations
Convex optimizationIntegrated circuitList of numerical analysis topicsLogistic regression

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Power-Performance Tradeoff Analysis of CML-Based High-Speed Transmitter Designs Using Circuit-Level Optimization
This paper presents comprehensive analyses of power-performance tradeoffs in current-mode logic (CML)-based transmitters via… 
2012
2012
Optimal pricing, lot-sizing and marketing planning in a capacitated and imperfect production system
2012
2012
Solution of fuzzy integrated production and marketing planning based on extension principle
2009
2009
Optimal pricing model for electronic products
2005
2005
Modified geometric programming problem and its applications
In this paper, we propose unconstrained and constrained posynomial Geometric Programming (GP) problem with negative or positive… 
1991
1991
On the convex programming approach to linear programming
1984
1984
Computation of multicomponent phase equilibria—Part I. Vapour-liquid equilibria
Highly Cited
1976
Highly Cited
1976
A set of geometric programming test problems and their solutions
This paper attempts to provide a set of standard test examples for researchers working in the area of geometric programming and… 
1976
1976
Hydraulic network analysis using (generalized) geometric programming
The problem of determining the flows (and pressures) in the pipes of a general hydraulic network, for given input and output… 
1971
1971
INVENTORY MODELS: OPTIMIZATION BY GEOMETRIC PROGRAMMING
Geometric programming is a mathematical programming technique that is designed to determine the constrained minimum value of a… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)