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        <full_title>WSEAS TRANSACTIONS ON MATHEMATICS</full_title>
        <issn media_type="print">1109-2769</issn>
        <issn media_type="electronic">2224-2880</issn>
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        <titles>
          <title>Computational Methods for Optimal Affine Bounds of Continuous Functions</title>
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        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Tareq</given_name>
            <surname>Hamadneh</surname>
            <affiliations>
              <institution>
                <institution_name>Department of Mathematics, Al Zaytoonah University of Jordan, Amman, JORDAN </institution_name>
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        <jats:abstract xml:lang="en">
          <jats:p>This paper presents global computational problems related to establishing lower bounds for highdimensional continuous functions over a simplex. We propose a rigorous approach to constructing affine lower bounds (ALB) that remain closely beneath the original function. By extending the least squares method for control Bernstein, we develop a convergent AB to both polynomials and rational functions. Furthermore, we demonstrate that these bounds achieve high convergence rates to the original functions. Finally, we evaluate our approach by comparing it with previous methods using error bound approximation.</jats:p>
        </jats:abstract>
        <publication_date media_type="print">
          <month>04</month>
          <day>29</day>
          <year>2026</year>
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        <publication_date media_type="online">
          <month>04</month>
          <day>29</day>
          <year>2026</year>
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        <pages>
          <first_page>51</first_page>
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          <item_number item_number_type="article_number">6</item_number>
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          <doi>10.37394/23206.2026.25.6</doi>
          <resource>https://wseas.com/journals/mathematics/2026/a125106-003(2026).pdf</resource>
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