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A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization.

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Title: A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization.
Authors: He, Qing-Rui1, Li, Sheng-Jie1,2, Zhang, Bo-Ya1, Chen, Chun-Rong1,2, chencr1981@163.com
Source: Computational Optimization & Applications; Dec2024, Vol. 89 Issue 3, p805-842, 38p
Database: Applied Science & Technology Source
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Header DbId: aci
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  Data: A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization.
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      – Type: doi
        Value: 10.1007/s10589-024-00609-0
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      – Code: eng
        Text: English
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        PageCount: 38
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      – TitleFull: A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization.
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            NameFull: He, Qing-Rui
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            NameFull: Li, Sheng-Jie
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            NameFull: Zhang, Bo-Ya
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              Text: Dec2024
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              Y: 2024
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              Value: 89
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