An efficient augmented memoryless quasi-Newton method for solving large-scale unconstrained optimization problems

In this paper, an augmented memoryless BFGS quasi-Newton method was proposed for solving unconstrained optimization problems. Based on a new modified secant equation, an augmented memoryless BFGS update formula and an efficient optimization algorithm were established. To improve the stability of the...

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Bibliographic Details
Published in:AIMS Mathematics
Main Authors: Yulin Cheng, Jing Gao
Format: Article
Language:English
Published: AIMS Press 2024-08-01
Subjects:
unconstrained optimization
quasi-newton method
bfgs update
secant equation
global convergence
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20241231?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20241231?viewType=HTML

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