A Smoothing Newton Method for Absolute Value Equation

2016 ◽  
Vol 9 (2) ◽  
pp. 119-132 ◽  
Author(s):  
Longquan Yong
2013 ◽  
Vol 765-767 ◽  
pp. 703-708 ◽  
Author(s):  
Xiao Qin Jiang

In this paper, we reformulate the system of absolute value equations as afamily of parameterized smooth equations and propose a smoothing Newton method tosolve this class of problems. we prove that the method is globally and locally quadraticallyconvergent under suitable assumptions. The preliminary numerical results demonstratethat the method is effective.


2022 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Xin-He Miao ◽  
Kai Yao ◽  
Ching-Yu Yang ◽  
Jein-Shan Chen

<p style='text-indent:20px;'>In this paper, we suggest the Levenberg-Marquardt method with Armijo line search for solving absolute value equations associated with the second-order cone (SOCAVE for short), which is a generalization of the standard absolute value equation frequently discussed in the literature during the past decade. We analyze the convergence of the proposed algorithm. For numerical reports, we not only show the efficiency of the proposed method, but also present numerical comparison with smoothing Newton method. It indicates that the proposed algorithm could also be a good choice for solving the SOCAVE.</p>


Sign in / Sign up

Export Citation Format

Share Document