The convergence properties of new hybrid conjugate gradient method
[摘要] In this paper, a new Hybrid Conjugate Gradient Methods is presented, which produced sufficient descent search direction at every iteration and global Convergence Properties for solving large-scale nonlinear optimization problem under exact line search. The numerical experiments show that a hybrid method has the best efficiency for the test problems.
[发布日期] [发布机构] Department of Computer Science and Mathematics, Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Terengganu; 22200, Malaysia^1;Department of Mathematics, Faculty of Science, AlAsmarya Islamic University, Libya^2;Universitas Padjadjaran, Bandung, Indonesia^3
[效力级别] [学科分类] 计算机科学（综合）
[关键词] Convergence properties;Exact line searches;Global convergence properties;Hybrid method;Large scale nonlinear optimization;Numerical experiments;Search direction;Test problem [时效性]
