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Research Article

A new class of quasi-Newton updating formulas for unconstrained optimization

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Pages 2355-2366 | Received 01 Dec 2020, Published online: 11 Jan 2022

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Read on this site (5)

Basim A. Hassan & Ali Ahmed A. Abdullah. (2022) Enriched formulas to conjugate gradient method for removing impulse noise images. Journal of Information and Optimization Sciences 43:8, pages 2065-2074.
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Basim A. Hassan & Ali Ahmed A. Abdullah. (2022) Extra parameters for conjugate gradient method for removing impulse noise images. Journal of Information and Optimization Sciences 43:8, pages 2055-2064.
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Kadir Kiran. (2022) A comparison of Quasi-Newton methods considering line search conditions in unconstrained minimization. Journal of Information and Optimization Sciences 43:8, pages 2031-2053.
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Basim A. Hassan, Zeyad M. Abdullah & Saif A. Hussein. (2022) Some new conjugate gradient methods for solving unconstrained optimization problems. Journal of Information and Optimization Sciences 43:4, pages 893-903.
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Basim A. Hassan, Zeyad M. Abdullah & Saif A. Hussein. (2022) A new family of conjugate gradient methods to solve unconstrained optimization problems. Journal of Information and Optimization Sciences 43:4, pages 811-820.
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Articles from other publishers (2)

Xinhao An, Qingxia Zhang, Chao Li, Jilin Hou & Yongkang Shi. (2022) Damage Identification of Semi-Rigid Joints in Frame Structures Based on Additional Virtual Mass Method. Sensors 22:17, pages 6495.
Crossref
Basim A. Hassan & Abdulrahman R. Ayoob. (2022) On the New Quasi-Newton Equation for Unconstrained Optimization. On the New Quasi-Newton Equation for Unconstrained Optimization.

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