Author(s): W. Abdul Hameed, P. Rajendran

Email(s): hameedvellore@yahoo.co.in , prajendran@vit.ac.in

DOI: 10.5958/0974-360X.2016.00347.4   

Address: Dr. W. Abdul Hameed, Dr. P. Rajendran*
School of Advanced Sciences, VIT University, Vellore-632 014, Tamil Nadu, India
*Corresponding authors

Published In:   Volume - 9,      Issue - 10,     Year - 2016


ABSTRACT:
In this Paper, we present a neural network for solving the quadratic programming problems in real time by means of augmented Lagrange multiplier method for problems in standard form. It is shown that the proposed neural network is stable in the sense of Lyapunov and can converge to an exact optimal solution of the original problem. Validity and transient behavior of the proposed neural network are demonstrated by some simulation results using MATLAB software.


Cite this article:
W. Abdul Hameed, P. Rajendran. Augmented Lagrange Multiplier Method to Solve Quadratic Programming Problems in Standard Form: A Neural Network Approach. Research J. Pharm. and Tech 2016; 9(10):1727-1731. doi: 10.5958/0974-360X.2016.00347.4

Cite(Electronic):
W. Abdul Hameed, P. Rajendran. Augmented Lagrange Multiplier Method to Solve Quadratic Programming Problems in Standard Form: A Neural Network Approach. Research J. Pharm. and Tech 2016; 9(10):1727-1731. doi: 10.5958/0974-360X.2016.00347.4   Available on: https://rjptonline.org/AbstractView.aspx?PID=2016-9-10-46


Recomonded Articles:

Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal.... Read more >>>

RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

1.3
2021CiteScore
 
56th percentile
Powered by  Scopus


SCImago Journal & Country Rank

Journal Policies & Information


Recent Articles




Tags


Not Available