|作者：||Zhibin Zhu, Huajun Wang, Benxin Zhang|
1School of Mathematics and Computational Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation , Guilin University of Electronic Technology , Guilin , China .
2Department of Applied Mathematics , Beijing Jiaotong University , Beijing , China .
|刊名：||Inverse Problems in Science and Engineering, 2018, Vol.26 (11), pp.1561-1589|
|来源数据库：||Taylor & Francis Journal|
|关键词：||Inverse problems; Spectral conjugate gradient method; Robustness; Regularizing properties; Neighbor term;|
|原始语种摘要：||Abstract(#br)In this study, a new spectral conjugate gradient method is presented to solve nonlinear inverse problems, which transferred into the unconstrained nonlinear optimization with a neighbour term. The global convergence and regularizing properties of the proposed method are analysed. In the end, some numerical results illustrate the efficiency and the robustness of this method.|