Global convergence of a modified Fletcher–Reeves conjugate gradient method with Armijo-type line search

By Li Zhang, Weijun Zhou, Donghui Li. Numerische Mathematik, 2006

308 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/c2bef8e9bd7eab8b05019c68ecf3e550434b3711

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Xiaoling Wang
2. Caixia Kou
3. Donghui Li
4. Yuhong Dai
5. Saman Babaie-Kafaki
6. Reza Ghanbari
7. William W. Hager
8. Hongchao Zhang

In Numerical Analysis

1. Xiaoling Wang
2. Caixia Kou
3. Donghui Li
4. Yuhong Dai
5. William W. Hager
6. Hongchao Zhang
7. Saman Babaie-Kafaki
8. Reza Ghanbari

Citations in the corpus

• A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search (2013, background): “[42] investigated new conjugate gradient methods that can ensure the sufficient descent property, namely, −gT k dk ≥ c∥gk∥(2) for some constant c > 0 and all k ≥ 1.”
• A modified Fletcher-Reeves-Type derivative-free method for symmetric nonlinearequations (2011, methodology): “We then use the idea of the MFR method in [25] to construct a descent direction for the norm function.”