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Multi-sequence discrete recursive descent optimizer: a novel optimization algorithm based on quasi-Newton directions and imprecise search step lengths.

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Title: Multi-sequence discrete recursive descent optimizer: a novel optimization algorithm based on quasi-Newton directions and imprecise search step lengths.
Authors: Huang, Hanqiao1,2, Du, Bo1, dubo@mail.nwpu.edu.cn, Zhang, Bo1, Zhou, Huan1,3, Hu, Gang4
Source: Artificial Intelligence Review; Dec2025, Vol. 58 Issue 12, p1-48, 48p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188938380
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Dec2025, Vol. 58 Issue 12, p1-48, 48p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10462-025-11384-7
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      – Code: eng
        Text: English
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        PageCount: 48
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      – TitleFull: Multi-sequence discrete recursive descent optimizer: a novel optimization algorithm based on quasi-Newton directions and imprecise search step lengths.
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            NameFull: Huang, Hanqiao
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            NameFull: Du, Bo
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 58
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