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The PPADMM Method for Solving Quadratic Programming Problems.

Authors :
Shen, Hai-Long
Tang, Xu
Argyros, Ioannis K.
Source :
Mathematics (2227-7390). May2021, Vol. 9 Issue 9, p941-941. 1p.
Publication Year :
2021

Abstract

In this paper, a preconditioned and proximal alternating direction method of multipliers (PPADMM) is established for iteratively solving the equality-constraint quadratic programming problems. Based on strictly matrix analysis, we prove that this method is asymptotically convergent. We also show the connection between this method with some existing methods, so it combines the advantages of the methods. Finally, the numerical examples show that the algorithm proposed is efficient, stable, and flexible for solving the quadratic programming problems with equality constraint. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*QUADRATIC programming
*ALGORITHMS

Details

Language :
English
ISSN :
22277390
Volume :
9
Issue :
9
Database :
Academic Search Index
Journal :
Mathematics (2227-7390)
Publication Type :
Academic Journal
Accession number :
150366946
Full Text :
https://doi.org/10.3390/math9090941