subspace minimization Recently Published Documents

A New Adaptive Subspace Minimization Three-Term Conjugate Gradient Algorithm for Unconstrained Optimization

Journal of Computational Mathematics ◽

10.4208/jcm.1907-m2018-0173 ◽

2021 ◽

Vol 39 (2) ◽

pp. 159-177

Author(s):

Keke Zhang

Keyword(s):

Conjugate Gradient ◽

Conjugate Gradient Algorithm ◽

Gradient Algorithm ◽

New subspace minimization conjugate gradient methods based on regularization model for unconstrained optimization

Numerical Algorithms ◽

10.1007/s11075-020-01017-1 ◽

2020 ◽

Author(s):

Ting Zhao ◽

Hongwei Liu ◽

Zexian Liu

Keyword(s):

Conjugate Gradient ◽

Gradient Methods ◽

Conjugate Gradient Methods ◽

A new subspace minimization conjugate gradient method based on modified secant equation for unconstrained optimization

Computational and Applied Mathematics ◽

10.1007/s40314-020-01301-9 ◽

2020 ◽

Vol 39 (4) ◽

Author(s):

Xinliu Diao ◽

Hongwei Liu ◽

Zexian Liu

Keyword(s):

Conjugate Gradient ◽

Gradient Method ◽

Subspace Minimization ◽

Secant Equation ◽

Modified Secant Equation

LSM: Learning Subspace Minimization for Low-Level Vision

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.00627 ◽

2020 ◽

Cited By ~ 1

Author(s):

Chengzhou Tang ◽

Lu Yuan ◽

Ping Tan

Keyword(s):

Low Level ◽

Large-scale unconstrained optimization using separable cubic modeling and matrix-free subspace minimization

Computational Optimization and Applications ◽

10.1007/s10589-019-00138-1 ◽

2019 ◽

Vol 75 (1) ◽

pp. 169-205

Author(s):

C. P. Brás ◽

J. M. Martínez ◽

M. Raydan

Keyword(s):

Large Scale ◽

Subspace Minimization ◽

Large Scale Unconstrained Optimization ◽

Matrix Free

A subspace minimization conjugate gradient method based on conic model for unconstrained optimization

Computational and Applied Mathematics ◽

10.1007/s40314-019-0779-7 ◽

2019 ◽

Vol 38 (1) ◽

Cited By ~ 2

Author(s):

Yufei Li ◽

Zexian Liu ◽

Hongwei Liu

Keyword(s):

Conjugate Gradient ◽

Gradient Method ◽

Conic Model ◽

A new subspace minimization conjugate gradient method based on tensor model for unconstrained optimization

International Journal of Computer Mathematics ◽

10.1080/00207160.2018.1542136 ◽

2018 ◽

Vol 96 (10) ◽

pp. 1924-1942

Author(s):

Ting Wang ◽

Zexian Liu ◽

Hongwei Liu

Keyword(s):

Conjugate Gradient ◽

Gradient Method ◽

Tensor Model ◽

A new subspace minimization conjugate gradient method with nonmonotone line search for unconstrained optimization

Numerical Algorithms ◽

10.1007/s11075-017-0434-6 ◽

2017 ◽

Vol 79 (1) ◽

pp. 195-219 ◽

Cited By ~ 4

Author(s):

Ming Li ◽

Hongwei Liu ◽

Zexian Liu

Keyword(s):

Conjugate Gradient ◽

Gradient Method ◽

Line Search ◽

Nonmonotone Line Search ◽

Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust Subspace Minimization

International Journal of Computer Vision ◽

10.1007/s11263-014-0746-0 ◽

2014 ◽

Vol 111 (3) ◽

pp. 315-344 ◽

Cited By ~ 11

Author(s):

Yu-Xiang Wang ◽

Choon Meng Lee ◽

Loong-Fah Cheong ◽

Kim-Chuan Toh

Keyword(s):

Matrix Completion ◽