A new multipoint symmetric secant method with a dense initial matrix
Author:
Affiliation:
1. Department of Mathematics, Wake Forest University, Winston Salem, NC, USA
Funder
NSF
Publisher
Informa UK Limited
Subject
Applied Mathematics,Control and Optimization,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/10556788.2023.2167993
Reference24 articles.
1. Two-Point Step Size Gradient Methods
2. J.J. Brust, Large-scale quasi-Newton trust-region methods: High-accuracy solvers, dense initializations, and extensions, Ph.D. diss., UC Merced, 2018.
3. A dense initialization for limited-memory quasi-Newton methods
4. Algorithm 1030: SC-SR1: MATLAB Software for Limited-memory SR1 Trust-region Methods
5. On solving L-SR1 trust-region subproblems
Cited by 2 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. Shape-changing trust-region methods using multipoint symmetric secant matrices;Optimization Methods and Software;2024-01-24
2. A limited-memory trust-region method for nonlinear optimization with many equality constraints;Computational and Applied Mathematics;2023-03-10
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