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Mathematical Modelling and Analysis Volume 21, 2016 - Issue 3
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Original Articles

A New Three–Term Conjugate Gradient Method with Descent Direction for Unconstrained Optimization

XiaoLiang DongSchool of Mathematics and Information, Beifang University for Nationalities, Yinchuan, 750021, ChinaCorrespondence[email protected]
,
HongWei LiuSchool of Mathematics and Statistics, Xidian University, No.2 South Taibai Road, Xian, 710071Shannxi, China
,
YuBo HeDepartment of Mathematics and Applied Mathematics, Huaihua University, No.612 Yingfeng East Road, Huaihua, 418008Hunan, China
,
Saman Babaie-KafakiDepartment of Mathematics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, 35195-363Semnan, Iran
&
Reza GhanbariDepartment of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran
Pages 399-411 | Received 22 Feb 2015, Accepted 15 May 2016, Published online: 19 May 2016

Citations (4)

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Read on this site (1)

Xiao-Liang Dong, Ze-Xian Liu, Hong-Wei Liu & Xiang-Li Li. (2019) An efficient adaptive three-term extension of the Hestenes–Stiefel conjugate gradient method. Optimization Methods and Software 34:3, pages 546-559.
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Articles from other publishers (3)

Ibrahim Mohammed Sulaiman, Maulana Malik, Aliyu Muhammed Awwal, Poom Kumam, Mustafa Mamat & Shadi Al-Ahmad. (2022) On three-term conjugate gradient method for optimization problems with applications on COVID-19 model and robotic motion control. Advances in Continuous and Discrete Models 2022:1.
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Zohre Aminifard & Saman Babaie-Kafaki. (2019) A modified descent Polak–Ribiére–Polyak conjugate gradient method with global convergence property for nonconvex functions. Calcolo 56:2.
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Xiao Liang Dong, Wei Jun Li & Yu Bo He. (2016) Some modified Yabe?Takano conjugate gradient methods with sufficient descent condition. RAIRO - Operations Research 51:1, pages 67-77.
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