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Convergence of Newton-MR under Inexact Hessian Information

  • Published:2021-01 Issue:1 Volume:31 Page:59-90
  • ISSN:1052-6234
  • Container-title:SIAM Journal on Optimization
  • language:en
  • Short-container-title:SIAM J. Optim.

Author:

Liu Yang,Roosta Fred

Funder

Australian Centre of Excellence for Mathematical and Statistical Frontiers

Defense Advanced Research Projects Agency

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Theoretical Computer Science,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PETScML: Second-Order Solvers for Training Regression Problems in Scientific Machine Learning;Proceedings of the Platform for Advanced Scientific Computing Conference;2024-06-03

2. A structured L-BFGS method and its application to inverse problems;Inverse Problems;2024-03-07

3. Hessian averaging in stochastic Newton methods achieves superlinear convergence;Mathematical Programming;2022-12-13

4. MINRES: From Negative Curvature Detection to Monotonicity Properties;SIAM Journal on Optimization;2022-11-09

5. Inexact Newton-CG algorithms with complexity guarantees;IMA Journal of Numerical Analysis;2022-08-22
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