A Spectral Conjugate Gradient Method for Unconstrained Optimization

By Ernesto G. Birgin, Jose Mario Martínez. 2001

358 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/d5acda077cc4b56436012a32dd894fd8168f036e

How researchers see this paper

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

In Biomedical Engineering

1. Donghui Li
2. Weijun Zhou
3. Li Zhang

In Computational Mechanics

1. Yuhong Dai
2. Donghui Li
3. Weijun Zhou
4. Li Zhang
5. Duan Li
6. Roger Fletcher

In Numerical Analysis

1. Donghui Li
2. Yuhong Dai
3. Weijun Zhou
4. Li Zhang
5. Duan Li
6. William W. Hager
7. Hongchao Zhang
8. Roger Fletcher

Citations in the corpus

• On Restart Procedures for the Conjugate Gradient Method (2004, background): “There are quite a few papers that studied the initial choice of the steplength αk in conjugate gradient methods, for example, [2,18].”
• Global convergence of a modified Fletcher–Reeves conjugate gradient method with Armijo-type line search (2006, methodology): “In this section, we describe the modified FR method whose form is similar to that of [3] but with different parameters θk and βk.”