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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-science-frontier-research-f-mathematics-decision</journal-id>
<journal-title-group>
<journal-title>Global Journal of Science Frontier Research - F: Mathematics &amp; Decision</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5896</issn>
<issn publication-format="electronic">2249-4626</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/59410.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">59410</article-id>
<title-group>
<article-title>Numerical Method for Finding All Points of Extremum of Random as Smooth and Non-Smooth Functions of One Variable</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Bihun</surname><given-names>Roman</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">UKRAINE, Ivan Franko National University of Lviv</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2015-03-08">
<day>08</day>
<month>03</month>
<year>2015</year>
</pub-date>
<volume>15</volume>
<issue>F2</issue>
<fpage>87</fpage>
<lpage>93</lpage>
<abstract><p>A device of non-classic Newton’s minorant and their graphs of functions of two real table-like variables have been introduced and a new numerical method for finding extremum of random as smooth and non-smooth functions of one real variable has been constructed.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>minorant and majorant of function</kwd>
<kwd>numerical analysis</kwd>
<kwd>optimization method</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJSFR_Volume15/8-Numerical-Method-for-Finding.pdf" />
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<title>Full Text</title>
<p>A device of non-classic Newtonâ€™s minorant and their graphs of functions of two real table-like variables have been introduced and a new numerical method for finding extremum of random as smooth and non-smooth functions of one real variable has been constructed.</p>
</sec>
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