A modified conjugate gradient algorithm with backtracking line search technique for large-scale nonlinear equations-Reference-Cited by-同舟云学术

A modified conjugate gradient algorithm with backtracking line search technique for large-scale nonlinear equations

Published:2017-02-19 Issue:2 Volume:95 Page:382-395
ISSN:0020-7160
Container-title:International Journal of Computer Mathematics
language:en
Short-container-title:International Journal of Computer Mathematics

Author:

Li Xiangrong¹,Wang Xiaoliang¹,Sheng Zhou¹,Duan Xiabin¹

Affiliation:

1. Guangxi Colleges and Universities Key Laboratory of Mathematics and Its Applications, College of Mathematics and Information Science, Guangxi University, Nanning, China

Funder

Guangxi Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207160.2017.1290433

Reference46 articles.

1. Another Conjugate Gradient Algorithm with Guaranteed Descent and Conjugacy Conditions for Large-scale Unconstrained Optimization

2. Analysis of two Chebyshev-like third order methods free from second derivatives for solving systems of nonlinear equations

3. Convergence Theory of Nonlinear Newton–Krylov Algorithms

4. Benchmarking optimization software with performance profiles

5. Function minimization by conjugate gradients

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