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  <doi_batch_id>aspg-33-1591-1792223566</doi_batch_id>
  <timestamp>20261017075246</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Galoitica: Journal of Mathematical Structures and Applications</full_title>
    <abbrev_title>GJMSA</abbrev_title>
    <issn media_type="electronic">2834-5568</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Improving Karmarker Algorithm to Obtain Optimal Solution</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Ahmad</given_name>
      <surname>Khaldi</surname>
      <affiliations>
       <institution>
        <institution_name>Mutah University, Faculty of Science, Jordan</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In this research, the Karmarker's method of linear programming was improved using the eigenvector of the starting point with all iterations.Where the improvement showed that Karmarker's method can be reduced in a theoretical way by direct method without iterations and access to the optimal solution. The procedure was also Comparison of the two methods and the results of the proposed method were faster and better to reach.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>28</first_page>
     <last_page>35</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1591</item_number>
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     <doi>10.54216/GJMSA.030204</doi>
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