所属单位：School of Artificial Intelligence
发表刊物：Applied Numerical Mathematics
项目来源：国家自然科学基金
关键字：continuation method; trust-region method; line search method; preconditioning technique
摘要：This paper considers an explicit continuation method and the trust-region updating strategy for the unconstrained optimization problem. Moreover, in order to improve its computational efficiency and robustness, the new method uses the switching preconditioning technique. In the well-conditioned phase, the new method uses the L-BFGS method as the preconditioning technique in order to improve its computational efficiency. Otherwise, the new method uses the inverse of the Hessian matrix as the pre-conditioner in order to improve its robustness. Numerical results also show that the new method
论文类型：期刊论文
第一作者：罗新龙
合写作者：肖航,吕家辉,张森
学科门类：理学
一级学科：数学
文献类型：J
ISSN号：0168-9274
是否译文：否
发表时间：2021-03-11
收录刊物：SCI