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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">info21111</article-id><article-id pub-id-type="doi">10.15388/Informatica.2010.279</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Interval Arithmetic Based Optimization in Nonlinear Regression</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Žilinskas</surname><given-names>Antanas</given-names></name><email xlink:href="mailto:antanasz@ktl.mii.lt">antanasz@ktl.mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><contrib contrib-type="Author"><name><surname>Žilinskas</surname><given-names>Julius</given-names></name><email xlink:href="mailto:julius.zilinskas@mii.lt">julius.zilinskas@mii.lt</email><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>2010</year></pub-date><volume>21</volume><issue>1</issue><fpage>149</fpage><lpage>158</lpage><history><date date-type="received"><day>01</day><month>04</month><year>2009</year></date><date date-type="accepted"><day>01</day><month>02</month><year>2010</year></date></history><abstract><p>The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper applicability of global optimization algorithms to this problem is investigated with the focus on interval arithmetic based algorithms.</p></abstract><kwd-group><label>Keywords</label><kwd>global optimization</kwd><kwd>interval arithmetic</kwd><kwd>nonlinear regression</kwd><kwd>nonlinear least squares</kwd></kwd-group></article-meta></front></article>