Global Convergence Properties of BFGS Method with Nonmonotone Line Search Based on Back Tracking Method
Sun Hui-juan
Abstract
Sun Hui-juan
Abstract
According to a kind of modified BFGS method,a new algorithm of unconstrained optimization problems is given,combing with back tracking method and the condition with nonmonotone line search,and it is proved that this line search can make BFGS method with global convergence properties.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
According to a kind of modified BFGS method,a new algorithm of unconstrained optimization problems is given,combing with back tracking method and the condition with nonmonotone line search,and it is proved that this line search can make BFGS method with global convergence properties.
Key concepts: Broyden–Fletcher–Goldfarb–Shanno algorithm, Line search, Convergence (economics), Combing, Mathematical optimization, Line (geometry), Tracking (education), Computer science