Sharp Estimation Of Convergence Rate For Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems

Zhaojun Bai University of California, Davis Ren-Cang Li The University of Texas at Arlington Ding Lu University of Kentucky

Numerical Analysis and Scientific Computing Numerical Linear Algebra mathscidoc:2309.25001

SIAM Journal on Matrix Analysis and Applications, 43, (1), 301-327, 2022.1
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nonlinear eigenvalue problem, self-consistent field iteration, convergence factor, level-shifted SCF
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@inproceedings{zhaojun2022sharp,
  title={Sharp Estimation Of Convergence Rate For Self-Consistent Field Iteration  to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems},
  author={Zhaojun Bai, Ren-Cang Li, and Ding Lu},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925052119505871763},
  booktitle={SIAM Journal on Matrix Analysis and Applications},
  volume={43},
  number={1},
  pages={301-327},
  year={2022},
}
Zhaojun Bai, Ren-Cang Li, and Ding Lu. Sharp Estimation Of Convergence Rate For Self-Consistent Field Iteration to Solve Eigenvector-Dependent Nonlinear Eigenvalue Problems. 2022. Vol. 43. In SIAM Journal on Matrix Analysis and Applications. pp.301-327. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925052119505871763.
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