A general inertial projected gradient method for variational inequality problems

2021 ◽  
Vol 40 (5) ◽  
Author(s):  
Qiao-Li Dong ◽  
Songnian He ◽  
Lulu Liu
2015 ◽  
Vol 54 (1) ◽  
pp. 106-116 ◽  
Author(s):  
Laura Antonelli ◽  
Valentina De Simone ◽  
Daniela di Serafino

2019 ◽  
Vol 36 (02) ◽  
pp. 1940008
Author(s):  
Jun Fan ◽  
Liqun Wang ◽  
Ailing Yan

In this paper, we employ the sparsity-constrained least squares method to reconstruct sparse signals from the noisy measurements in high-dimensional case, and derive the existence of the optimal solution under certain conditions. We propose an inexact sparse-projected gradient method for numerical computation and discuss its convergence. Moreover, we present numerical results to demonstrate the efficiency of the proposed method.


Sign in / Sign up

Export Citation Format

Share Document