Title of article
A regularized smoothing-type algorithm for solving a system of inequalities with a -function
Author/Authors
Zhu، نويسنده , , Jianguang and Liu، نويسنده , , Hongwei and Li، نويسنده , , Xiangli، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
9
From page
2611
To page
2619
Abstract
The system of nonlinear inequalities is studied in this paper. By using the Chen–Harker–Kanzow–Smale smoothing function, the problem is approximated by a family of parameterized smooth equations. A regularized smoothing Newton algorithm is proposed to solve the smooth equations. We prove that the proposed algorithm converges globally and superlinearly under mild conditions. Furthermore, the algorithm has local quadratic convergence under suitable conditions. Preliminary numerical experiments are reported to show the efficiency of the algorithm.
Keywords
Regularized smoothing Newton algorithm , System of inequalities , Global and superlinear convergence , Local quadratic convergence
Journal title
Journal of Computational and Applied Mathematics
Serial Year
2010
Journal title
Journal of Computational and Applied Mathematics
Record number
1555549
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