<?xml version="1.0"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Ansari Education and Research Society</publisher>
    <journalTitle>Journal of Ultra Scientist of Physical Sciences</journalTitle>
    <issn/>
    <eissn/>
    <publicationDate>December 2008</publicationDate>
    <volume>20</volume>
    <issue>3</issue>
    <startPage>841</startPage>
    <endPage>847</endPage>
    <doi>jusps-A</doi>
    <publisherRecordId>1453</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">An Efficient Step Size For BFGS&#xA0;</title>
    <authors>
      <author>
        <name>Azfi Zaidi Mohammad Sofi (azfizaidi@yahoo.com)</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name> Mustafa Mamat (mus@umt.edu.my)</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Ismail Mohd (ismail@umt.edu.my)</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Yosza Dasril (yosza@utem.edu.my)</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Mathematics, Facutly of Science and Technology, University Malaysia Terengganu (UMT) (Malaysia)</affiliationName>
      <affiliationName affiliationId="2">Faculty of Electronics and Computer Engineering University Teknikal Melaka (UteM) Melaka, Malaysia</affiliationName>
    </affiliationsList>
    <abstract language="eng">&lt;p style="text-align: justify;"&gt;In this paper we introduced what we are calling a combination of step size of Broyden-Fletcher-Goldfarb-Shanno (CSS-BFGS) to solve unconstrained optimization problem. Analytically, we have proved that the algorithm is superlinearly convergence. The numerical result of CSS-BFGS was shown at the end of this paper. The result shown that in term of iteration number&amp;nbsp;&lt;em&gt;n&lt;sub&gt;i&lt;/sub&gt;&lt;/em&gt;&amp;nbsp;and function evaluation&amp;nbsp;&lt;em&gt;n&lt;sub&gt;f&lt;/sub&gt;&lt;/em&gt;, our alternative step size is more effective than the original BFGS algorithm.&amp;nbsp;&lt;br /&gt;&#xD;
&amp;nbsp;&lt;/p&gt;&#xD;
</abstract>
    <fullTextUrl format="html">https://www.ultrascientist.org/paper/1453/</fullTextUrl>
    <keywords>
      <keyword language="eng">u00a0exact line search</keyword>
    </keywords>
    <keywords>
      <keyword language="eng"> step size</keyword>
    </keywords>
    <keywords>
      <keyword language="eng"> BFGS</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">differebtiable</keyword>
    </keywords>
    <keywords>
      <keyword language="eng">superlinearly convergence</keyword>
    </keywords>
  </record>
</records>
