<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-interdisciplinary-mathematics</journal-id>
      <journal-title-group>
        <journal-title>Journal of Interdisciplinary Mathematics</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-012X</issn>
      <issn publication-format="print">0972-0502</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIM-2229</article-id>
      <title-group>
        <article-title>On a numerical approach to compute the powers of doubly Leslie matrices using Fibonacci-Horner decomposition and determinantal form</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Aloui</surname>
            <given-names>Amal</given-names>
          </name>
          <aff>Department of Mathematics, Faculty of Sciences, University of Ibn Tofail, Kénitra, Morocco</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rachidi</surname>
            <given-names>Mustapha</given-names>
          </name>
          <aff>Institute of Mathematics, UFMS, Campo Grande, INMA, Federal University of Mato Grosso do Sul, MS, 79070-900, Brazil</aff>
        </contrib>
      </contrib-group>
      <volume>29</volume>
      <issue>4</issue>
      <fpage>809</fpage>
      <lpage>823</lpage>
      <pub-date date-type="pub">
        <day>17</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>In this paper we explore a numerical approach of the powers of doubly Leslie matrices, through the Fibonacci-Horner method and also using a determinantal form. Two algorithms for computing the entries of the powers of doubly Leslie matrix are built. In addition, Python programs are designed for both of these approaches. For illustrative purpose, some examples and applications are provided. </p>
      </abstract>
      <kwd-group>
        <kwd>Fibonacci-Horner</kwd>
        <kwd>Doubly Leslie matrix</kwd>
        <kwd>Hessenberg matrix</kwd>
        <kwd>Determinant</kwd>
        <kwd>Weighted generalized Fibonacci sequences</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
