A spectral conjugate gradient method for nonlinear inverse problems
作者: Zhibin ZhuHuajun WangBenxin Zhang
作者单位: 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
DOI: 10.1080/17415977.2017.1413103
关键词: Inverse problemsSpectral conjugate gradient methodRobustnessRegularizing propertiesNeighbor 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.
全文获取路径: Taylor & Francis  (合作)
影响因子:0.754 (2012)

  • gradient 倾斜度
  • spectral 谱的
  • nonlinear 非线性的
  • inverse 逆的
  • conjugate 共轭的
  • method 方法
  • properties 道具
  • convergence 汇合
  • robustness 坚固性
  • optimization 最佳化