<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-419X</journal-id>
<journal-title><![CDATA[Revista Integración]]></journal-title>
<abbrev-journal-title><![CDATA[Integración - UIS]]></abbrev-journal-title>
<issn>0120-419X</issn>
<publisher>
<publisher-name><![CDATA[Universidad Industrial de Santander]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-419X2014000100007</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[An acceleration technique for the Gauss-Seidel method applied to symmetric linear systems]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[CAJIGAS]]></surname>
<given-names><![CDATA[JESÚS]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[ARENAS]]></surname>
<given-names><![CDATA[ISNARDO]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[CASTILLO]]></surname>
<given-names><![CDATA[PAUL]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Puerto Rico Department of Mathematical Sciences ]]></institution>
<addr-line><![CDATA[Puerto Rico ]]></addr-line>
<country>US</country>
</aff>
<aff id="A02">
<institution><![CDATA[,The University of Texas at Dallas Department of Mathematical Sciences ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2014</year>
</pub-date>
<volume>32</volume>
<numero>1</numero>
<fpage>91</fpage>
<lpage>100</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-419X2014000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-419X2014000100007&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-419X2014000100007&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[A preconditioning technique to improve the convergence of the Gauss-Seidel method applied to symmetric linear systems while preserving symmetry is proposed. The preconditioner is of the form I + K and can be applied an arbitrary number of times. It is shown that under certain conditions the application of the preconditioner a finite number of steps reduces the matrix to a diagonal. A series of numerical experiments using matrices from spatial discretizations of partial differential equations demonstrates that both versions of the preconditioner, point and block version, exhibit lower iteration counts than its non-symmetric version.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Se propone una técnica de precondicionamiento para mejorar la convergencia del método Gauss-Seidel aplicado a sistemas lineales simétricos pero preservando simetría. El precondicionador es de la forma I + K y puede ser aplicado un número arbitrario de veces. Se demuestra que bajo ciertas condiciones la aplicación del precondicionador un número finito de pasos reduce la matriz del sistema precondicionado a una diagonal. Una serie de experimentos con matrices que provienen de la discretización de ecuaciones en derivadas parciales muestra que ambas versiones del precondicionador, por punto y por bloque, muestran un menor número de iteraciones en comparación con la versión que no preserva simetría.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Preconditioning]]></kwd>
<kwd lng="en"><![CDATA[Gauss-Seidel method]]></kwd>
<kwd lng="en"><![CDATA[regular splitting]]></kwd>
<kwd lng="es"><![CDATA[Precondicionamiento]]></kwd>
<kwd lng="es"><![CDATA[método de Gauss-Seidel]]></kwd>
<kwd lng="es"><![CDATA[descomposiciones regulares]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[   <font size="2" face="Verdana">     <p align="center"><font size="4"><b><i>An acceleration technique for the    <br> Gauss-Seidel method applied to symmetric    <br> linear systems</i></b></font></p>      <p align="center">JES&Uacute;S CAJIGAS<sup><i>a</i>, *</sup>, ISNARDO ARENAS<sup><i>b</i></sup>, PAUL CASTILLO<sup><i>a</i></sup></p>      <p align="center"><sup><i>a</i></sup> University of Puerto Rico, Department of Mathematical Sciences, Mayag&uuml;ez, Puerto Rico 00681, US.    <br> <sup><i>b</i></sup> The University of Texas at Dallas, Department of Mathematical Sciences, Richardson, TX 75080-3021.</p>  <hr>      <p align="justify"><b><i>Abstract.</i></b> A preconditioning technique to improve the convergence of the Gauss-Seidel method applied to symmetric linear systems while preserving symmetry is proposed. The preconditioner is of the form <i>I</i> + <i>K</i> and can be applied an arbitrary number of times. It is shown that under certain conditions the application of the preconditioner a finite number of steps reduces the matrix to a diagonal. A series of numerical experiments using matrices from spatial discretizations of partial differential equations demonstrates that both versions of the preconditioner, point and block version, exhibit lower iteration counts than its non-symmetric version.</p>      <p align="justify"><b><i>Keywords:</i></b> Preconditioning, Gauss-Seidel method, regular splitting.    <br> <b><i>MSC2010:</i></b> 65F08, 65F10, 65F50.</p>  <hr>      ]]></body>
<body><![CDATA[<p align="center"><font size="3"><b><i>Una t&eacute;cnica de aceleraci&oacute;n para el m&eacute;todo Gauss-Seidel aplicado a sistemas lineales sim&eacute;tricos</i></b></font></p>      <p align="justify"><b><i>Resumen.</i></b> Se propone una t&eacute;cnica de precondicionamiento para mejorar la convergencia del m&eacute;todo Gauss-Seidel aplicado a sistemas lineales sim&eacute;tricos pero preservando simetr&iacute;a. El precondicionador es de la forma <i>I</i> + <i>K</i> y puede ser aplicado un n&uacute;mero arbitrario de veces. Se demuestra que bajo ciertas condiciones la aplicaci&oacute;n del precondicionador un n&uacute;mero finito de pasos reduce la matriz del sistema precondicionado a una diagonal. Una serie de experimentos con matrices que provienen de la discretizaci&oacute;n de ecuaciones en derivadas parciales muestra que ambas versiones del precondicionador, por punto y por bloque, muestran un menor n&uacute;mero de iteraciones en comparaci&oacute;n con la versi&oacute;n que no preserva simetr&iacute;a.</p>      <p align="justify"><b><i>Palabras Claves:</i></b> Precondicionamiento, m&eacute;todo de Gauss-Seidel, descomposiciones regulares.</p>  <hr>      <p align="justify">Texto Completo disponible en <a href ="pdf\rein\v32n1\v32n1a07.pdf">PDF</a></p>  <hr>      <p align="left"><font size="3"><b><i>Referencias</i></b></font></p>      <!-- ref --><p align="justify">&#91;1&#93; Arenas I., Castillo P., and Yong X., &quot;An extension of the <i>I</i> + <i>S<sub>max</sub></i> preconditioner for the Gauss-Seidel method&quot;, <i>Rev. Integr. 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Korean Math. Soc.</i> 48 (2011), no. 2, 303-314.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000042&pid=S0120-419X201400010000700013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></p>      <!-- ref --><p align="justify">&#91;14&#93; Zheng B. andMiao S-X., &quot;Two new modified Gauss Seidel methods for linear systems with M-matrices&quot;, <i>J. Comput. Appl. Math.</i> 233 (2009), 922-930.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=000044&pid=S0120-419X201400010000700014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></p>  <hr>      <p align="justify"><sup>*</sup>Corresponding author: <i>E-mail:</i> <a href="mailto:jesus.cajigas@upr.edu.">jesus.cajigas@upr.edu.</a>    <br> Received: 16 December 2013, Accepted: 20 March 2014.    <br> To cite this article: J. Cajigas, I. Arenas, P. Castillo, An acceleration technique for the Gauss-Seidel method    <br> applied to symmetric linear systems, <i>Rev. Integr. Temas Mat.</i> 32 (2014), no. 1, 91-100.</p>  </font>      ]]></body><back>
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