Article ID: | iaor20084708 |
Country: | United Kingdom |
Volume: | 6 |
Issue: | 4 |
Start Page Number: | 577 |
End Page Number: | 580 |
Publication Date: | Dec 2007 |
Journal: | Journal of Mathematical Modelling and Algorithms |
Authors: | Neogy S.K., Das P., Das A.K. |
Keywords: | neural networks, programming: linear |
In this paper we consider linear fractional programming problem and look at its linear complementarity formulation. In the literature, uniqueness of solution of a linear fractional programming problem is characterized through strong quasiconvexity. We present another characterization of uniqueness through complementarity approach and show that the solution set of a fractional programming problem is convex. Finally we formulate the complementarity condition as a set of dynamical equations and prove certain results involving the neural network model. A computational experience is also reported.