Cart (Loading....) | Create Account
Close category search window
 

A Fast Algorithm for Linearly Constrained Quadratic Programming Problems with Lower and Upper Bounds

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yanwu Liu ; Sch. of Manage., Wuhan Univ. of Technol., Wuhan ; Zhongzhen Zhang

There are many applications related to linearly constrained quadratic programs subjected to upper and lower bounds. Lower bounds and upper bounds are treated as different constraints by common quadratic programming algorithms. These traditional treatments significantly increase the computation of quadratic programming problems. We employ pivoting algorithm to solve quadratic programming models. The algorithm can convert the quadratic programming with upper and lower bounds into quadratic programming with upper or lower bounds equivalently by making full use of the Karush-Kuhn-Tucker (KKT) conditions of the problem and decrease the computation. The algorithm can further decrease calculation to obtain solution of quadratic programming problems by solving a smaller linear inequality system which is the linear part of KKT conditions for the quadratic programming problems and is equivalent to the KKT conditions while maintaining complementarity conditions of the KKT conditions to hold.

Published in:

MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Date of Conference:

30-31 Dec. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.