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A norm descent derivative-free algorithm for solving large-scale nonlinear symmetric equations

  • Published:2018-12 Issue: Volume:344 Page:89-99
  • ISSN:0377-0427
  • Container-title:Journal of Computational and Applied Mathematics
  • language:en
  • Short-container-title:Journal of Computational and Applied Mathematics

Author:

Liu J.K.,Feng Y.M.

Funder

Chongqing Research Program of Basic Research and Frontier Technology

Chongqing Three Gorges University

Innovation Team Building at Institutions of Higher Education in Chongqing

Chongqing Municipal Key Laboratory of Institutions of Higher Education

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference29 articles.

1. A globally convergent Newton-GMRES subspace method for systems of nonlinear equations;Bellavia;SIAM J. Sci. Comput.,2001

2. Superline convergence of a Newton-type algorithm for monotone equations;Zhou;J. Optim. Theory Appl.,2005

3. Limited memory BFGS method for nonlinear monotone equations;Zhou;J. Comput. Math.,2007

4. Globally convergent inexact quasi-Newton methods for solving nonlinear systems;Birgin;Numer. Algorithms,2003

5. Convergence theory of nonlinear Newton-Krylov algorithms;Brown;SIAM J. Optim.,1994
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