A Non-monotone Memory Gradient Method for Unconstrained Optimization

2012 Fifth International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2012.92 ◽

2012 ◽

Author(s):

Shenghua Gui ◽

Hua Wang

Keyword(s):

Unconstrained Optimization ◽

Gradient Method ◽

Memory Gradient Method

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On memory gradient method with trust region for unconstrained optimization

Numerical Algorithms ◽

10.1007/s11075-005-9008-0 ◽

2005 ◽

Vol 41 (2) ◽

pp. 173-196 ◽

Author(s):

Zhen-Jun Shi ◽

Jie Shen

Keyword(s):

Unconstrained Optimization ◽

Gradient Method ◽

Trust Region ◽

Memory Gradient Method

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Global Convergence of a Memory Gradient Method for Unconstrained Optimization

Computational Optimization and Applications ◽

10.1007/s10589-006-8719-z ◽

2006 ◽

Vol 35 (3) ◽

pp. 325-346 ◽

Author(s):

Yasushi Narushima ◽

Hiroshi Yabe

Keyword(s):

Global Convergence ◽

Unconstrained Optimization ◽

Gradient Method ◽

Memory Gradient Method

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A new variant of the memory gradient method for unconstrained optimization

Optimization Letters ◽

10.1007/s11590-011-0355-6 ◽

2011 ◽

Vol 6 (8) ◽

pp. 1643-1655 ◽

Author(s):

Yue Zheng ◽

Zhongping Wan

Keyword(s):

Unconstrained Optimization ◽

Gradient Method ◽

New Variant ◽

Memory Gradient Method

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A new super-memory gradient method for unconstrained optimization

2010 Second International Conference on Computational Intelligence and Natural Computing ◽

10.1109/cinc.2010.5643886 ◽

2010 ◽

Author(s):

Jingyong Tanga ◽

Li Dong

Keyword(s):

Unconstrained Optimization ◽

Gradient Method ◽

Memory Gradient Method

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A NONMONOTONE MEMORY GRADIENT METHOD FOR UNCONSTRAINED OPTIMIZATION

Journal of the Operations Research Society of Japan ◽

10.15807/jorsj.50.31 ◽

2007 ◽

Vol 50 (1) ◽

pp. 31-45 ◽

Author(s):

Yasushi Narushima

Keyword(s):

Unconstrained Optimization ◽

Gradient Method ◽

Memory Gradient Method

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A modified Dai–Liao conjugate gradient method for solving unconstrained optimization and image restoration problems

Journal of Applied Mathematics and Computing ◽

10.1007/s12190-021-01548-3 ◽

2021 ◽

Author(s):

Junyu Lu ◽

Gonglin Yuan ◽

Zhan Wang

Keyword(s):

Image Restoration ◽

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method

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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):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Tensor Model ◽

Subspace Minimization

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A new conjugate gradient method based on Quasi-Newton equation for unconstrained optimization

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2018.10.035 ◽

2019 ◽

Vol 350 ◽

pp. 372-379 ◽

Author(s):

Xiangli Li ◽

Juanjuan Shi ◽

Xiaoliang Dong ◽

Jianglan Yu

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Newton Equation ◽

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A hybrid conjugate gradient method with descent property for unconstrained optimization

Applied Mathematical Modelling ◽

10.1016/j.apm.2014.08.008 ◽

2015 ◽

Vol 39 (3-4) ◽

pp. 1281-1290 ◽

Author(s):

Jinbao Jian ◽

Lin Han ◽

Xianzhen Jiang

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Descent Property ◽

Hybrid Conjugate Gradient Method

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A spectral conjugate gradient method for solving large-scale unconstrained optimization

Computers & Mathematics with Applications ◽

10.1016/j.camwa.2018.10.002 ◽

2019 ◽

Vol 77 (3) ◽

pp. 731-739 ◽

Author(s):

J.K. Liu ◽

Y.M. Feng ◽

L.M. Zou

Keyword(s):

Unconstrained Optimization ◽

Conjugate Gradient Method ◽

Conjugate Gradient ◽

Gradient Method ◽

Large Scale ◽

Spectral Conjugate Gradient ◽

Large Scale Unconstrained Optimization

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