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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00028662</identifier>
        <datestamp>2025-01-22T17:57:43Z</datestamp>
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          <dc:title>BiCG法による助走区間つき積型反復法の収束性評価</dc:title>
          <dc:title xml:lang="en">Evaluation of convergence of Product-type of Iterative method with Approach run using BiCG method</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>日下部, 雄三</jpcoar:creatorName>
            <jpcoar:creatorName>阿部, 邦美</jpcoar:creatorName>
            <jpcoar:creatorName>尾上, 勇介</jpcoar:creatorName>
            <jpcoar:creatorName>藤野, 清次</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yuzo, Kusakabe</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Kuniyoshi, Abe</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Yusuke, Onoue</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Seiji, Fujino</jpcoar:creatorName>
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          <datacite:description descriptionType="Other">積型反復法では BiCG 法で生成されるシャドウ残差が収束性に大き欺影響を与える。本研究では積型反復法の初期シャドウ残差に数回反復きせた BiCG 法のシャドウ残差を与える助走区間つき積型反復法を提案し、数値実験によりその有用性を明唱かにする．</datacite:description>
          <datacite:description descriptionType="Other">On product-type of iterative methods, Bhadow residual generated by BiCG method has large influence on the convergence. In this research, we suggest Product-type of Iterative method with Approach run which gives shadow residual of BiCG method iterated for some steps to initial shadow residual of producttype of iterative method, and show the validity through some numerical experiments.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2008-07-29</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/28662</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN10463942</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会研究報告ハイパフォーマンスコンピューティング（HPC）</jpcoar:sourceTitle>
          <jpcoar:volume>2008</jpcoar:volume>
          <jpcoar:issue>74(2008-HPC-116)</jpcoar:issue>
          <jpcoar:pageStart>73</jpcoar:pageStart>
          <jpcoar:pageEnd>78</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2010-07-29</datacite:date>
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