array(2) { ["lab"]=> string(4) "1409" ["publication"]=> string(5) "12642" } A modified spectral gradient projection method for solving non-linear monotone equations with convex constraints and its application - Liang Yong | LabXing

Liang Yong

简介 中藥質量控制資訊系統，生物資訊學

大学 Macau University of Science and Technology / Faculty of Information Technology
关注
分享到

A modified spectral gradient projection method for solving non-linear monotone equations with convex constraints and its application

2020
期刊 IEEE Access
In this paper, we propose a derivative free algorithm for solving non-linear monotone equations with convex constraints. The proposed algorithm combines the method of spectral gradient and the projection method. We also modify the backtracking line search technique. The global convergence of the proposed method is guaranteed, under the mild conditions. Further, the numerical experiments show that the large-scale non-linear equations with convex constraints can be effectively solved with our method. The L 1 -norm regularized problems in signal reconstruction are studied by using our method.

  • 卷 8
  • 页码 92677-92686
  • IEEE
LabXing 上可以免费创建课题组网站
© LabXing 2018 关于LabXing 帮助中心 testing.service 京公网安备11010802025734号