untitled
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<identifier>oai:HAL:hal-00815513v1</identifier>
<datestamp>2017-12-12</datestamp>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Combining the proximal algorithm and Tikhonov regularization</title>
<creator>Lehdili, N.</creator>
<creator>Moudafi, Abdellatif</creator>
<contributor>Laboratoire d'Analyse Convexe ; Université Montpellier 2 - Sciences et Techniques (UM2)</contributor>
<contributor>Département de Mathématiques [Marrakech] ; Université Cadi Ayyad [Marrakech]</contributor>
<description>International audience</description>
<source>ISSN: 0233-1934</source>
<source>Optimization</source>
<publisher>Taylor & Francis</publisher>
<identifier>hal-00815513</identifier>
<identifier>https://hal.univ-antilles.fr/hal-00815513</identifier>
<source>https://hal.univ-antilles.fr/hal-00815513</source>
<source>Optimization, Taylor & Francis, 1996, 37 (3), pp.239-252. 〈10.1080/02331939608844217〉</source>
<identifier>DOI : 10.1080/02331939608844217</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1080/02331939608844217</relation>
<language>en</language>
<subject lang=en>Maximal monotone operator</subject>
<subject lang=en>Proximal point algorithm</subject>
<subject lang=en>Tikhonov method</subject>
<subject lang=en>Resolvent mapping</subject>
<subject lang=en>Variational convergence</subject>
<subject lang=en>Convex optimization</subject>
<subject lang=en>Saddle-value problems</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>An approximation method which combines Tikhonov method with the proximal point algorithm, is presented. Conditions which guarantee the convergence to a particular element of the solution set, are provided. A particular attention is given to the convex and convex-concave optimization cases.</description>
<date>1996</date>
</dc>
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