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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:36:37Z</responseDate> <request identifier=oai:HAL:hal-00780745v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00780745v1</identifier> <datestamp>2017-12-21</datestamp> <setSpec>type:ART</setSpec> <setSpec>subject:math</setSpec> <setSpec>collection:INSMI</setSpec> <setSpec>collection:BNRMI</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:TDS-MACS</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>A hybrid inertial projection-proximal method for variational inequalities</title> <creator>Moudafi, Abdellatif</creator> <contributor>Groupe de Recherche en Informatique et Mathématiques Appliquées Antilles-Guyane (GRIMAAG) ; Université des Antilles et de la Guyane (UAG)</contributor> <description>International audience</description> <source>ISSN: 1443-5756</source> <source>Journal of Inequalities in Pure and Applied Mathematics</source> <publisher>School of Communications and Informatics</publisher> <identifier>hal-00780745</identifier> <identifier>https://hal.univ-antilles.fr/hal-00780745</identifier> <identifier>https://hal.univ-antilles.fr/hal-00780745/document</identifier> <identifier>https://hal.univ-antilles.fr/hal-00780745/file/170_03_www.pdf</identifier> <source>https://hal.univ-antilles.fr/hal-00780745</source> <source>Journal of Inequalities in Pure and Applied Mathematics, School of Communications and Informatics, 2004, 5 (3), pp.1-5</source> <language>en</language> <subject lang=en>Maximal monotone operators</subject> <subject lang=en>Weak convergence</subject> <subject lang=en>Proximal point algorithm</subject> <subject lang=en>Hybrid projection-proximal method</subject> <subject lang=en>Resolvent</subject> <subject lang=en>inertial proximal point scheme</subject> <subject>[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]</subject> <type>info:eu-repo/semantics/article</type> <type>Journal articles</type> <description lang=en>The hybrid proximal point algorithm introduced by Solodov and Svaiter allowing significant relaxation of the tolerance requirements imposed on the solution of proximal subproblems will be combined with the inertial method introduced by Alvarez and Attouch which incorporates second order information to achieve faster convergence. The weak convergence of the resulting method will be investigated for finding zeroes of a maximal monotone operator in a Hilbert space.</description> <date>2004-04-14</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>