New gradient methods with adaptive stepsizes by approximate models-Reference-Cited by-同舟云学术

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New gradient methods with adaptive stepsizes by approximate models

Published:2023-07-20 Issue: Volume: Page:1-28
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Liu Zexian¹,Liu Hongwei²,Wang Ting³

Affiliation:

1. School of Mathematics and Statistics, Guizhou University, Guiyang, People's Republic of China

2. School of Mathematics and Statistics, Xidian University, Xi'an, People's Republic of China

3. School of Science, Xi'an University of Posts & Telecommunications, Xi'an, People's Republic of China

Funder

National Science Foundation of China

Guizhou Provincial Science and Technology Projects

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2023.2234925

Reference40 articles.

1. On spectral properties of steepest descent methods

2. Two-Point Step Size Gradient Methods

3. On the Barzilai and Borwein choice of steplength for the gradient method

4. R-linear convergence of the Barzilai and Borwein gradient method

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