Convexity in Linear Fractional Programming Problem
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.2, No. 11)Publication Date: 2013-11-30
Authors : Anita Biswas; Smita Verma;
Page : 3142-3145
Keywords : fractional programming; CCR model; Convexity.;
Abstract
Linear programming is a mathematical programming technique to optimize performance under a set of resource constraints as specified by organization. Linear fractional programming is a generalization of linear programming. The objective functions in linear programs are linear functions while the objective function in a linear fractional program is a ratio of two linear functions. In his paper an attempt is made to solve the convexity in linear fractional programming problem by taking CCR model, which states that the collection of all feasible solution to CCR model constitutes a convex set whose extreme points correspond to the basic feasible solutions.
Other Latest Articles
- Application of Modified Gain Extended Kalman Filter for Underwater Passive Target Tracking Using Angles Only Measurements
- Experimental Investication of DI Diesel Engine Using Biodiesel Blends With Different Injection Pressures
- A New Approach for Detecting Outliers in Data Streams
- Polymeric Fluid Flow Obeying ECTN Model in an Inclined Circular Tube with Permeable Wall
- Tri-State DC-DC Buck Converter with Efficient Conversion Ratio
Last modified: 2014-11-12 22:46:37