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        <identifier>oai:grips.repo.nii.ac.jp:00001372</identifier>
        <datestamp>2023-12-14T04:14:56Z</datestamp>
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          <dc:title>An O(√nL) Iteration Large-Step Logarithmic Barrier Function Algorithm for Linear Programming</dc:title>
          <dc:creator>TONE, Kaoru</dc:creator>
          <dc:subject>Linear programming</dc:subject>
          <dc:subject>interior point algorithm</dc:subject>
          <dc:subject>barrier function</dc:subject>
          <dc:subject>potential function</dc:subject>
          <dc:subject>primal and dual</dc:subject>
          <dc:subject>complexity</dc:subject>
          <dc:description>As a natural extension of Roos and Vial's "Long steps with logarithmic penalty barrier function in llnear programming" (1989) and Ye's "An O(n³L) potential reduction algorithm for linear programming" (1989), it will be shown that the classical logarithmic barrier function method can be adjusted so that it generates the optimal solution in O(√nL) iterations, where n is the number of variables and L is the data length.</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>Technology Policy Science, Saitama Univ</dc:publisher>
          <dc:date>1989-11</dc:date>
          <dc:type>AM</dc:type>
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          <dc:identifier>Institute for Policy Science research report. B</dc:identifier>
          <dc:identifier>B-5</dc:identifier>
          <dc:identifier>89</dc:identifier>
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          <dc:identifier>https://grips.repo.nii.ac.jp/records/1372</dc:identifier>
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