A novel IMGS-GMRES algorithm for addressing ill-conditioned highdimensional matrices in hydrodynamic analysis of large floating structures.

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Title: A novel IMGS-GMRES algorithm for addressing ill-conditioned highdimensional matrices in hydrodynamic analysis of large floating structures.
Authors: Zhang, Yiwen1 zhangyiwen202511@163.com, Xie, Yonghe1, Wang, Wei1,2, Gong, Xiwu1, Zhuang, Zhinuo1
Source: Brodogradnja. 2026, Vol. 77 Issue 3, p1-18. 18p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192469569
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  Data: A novel IMGS-GMRES algorithm for addressing ill-conditioned highdimensional matrices in hydrodynamic analysis of large floating structures.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Yiwen%22">Zhang, Yiwen</searchLink><relatesTo>1</relatesTo><i> zhangyiwen202511@163.com</i><br /><searchLink fieldCode="AR" term="%22Xie%2C+Yonghe%22">Xie, Yonghe</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Wei%22">Wang, Wei</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gong%2C+Xiwu%22">Gong, Xiwu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhuang%2C+Zhinuo%22">Zhuang, Zhinuo</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Brodogradnja%22">Brodogradnja</searchLink>. 2026, Vol. 77 Issue 3, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192469569
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.21278/brod77303
    Languages:
      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: A novel IMGS-GMRES algorithm for addressing ill-conditioned highdimensional matrices in hydrodynamic analysis of large floating structures.
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            NameFull: Zhang, Yiwen
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            NameFull: Xie, Yonghe
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            NameFull: Wang, Wei
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            NameFull: Gong, Xiwu
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 77
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