<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T13:32:41Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/89274" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/89274</identifier><datestamp>2025-07-17T07:03:19Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
   <leader>00925njm 22002777a 4500</leader>
   <datafield ind2=" " ind1=" " tag="042">
      <subfield code="a">dc</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Montero Mercadé, Lídia</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Codina Sancho, Esteve</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2003</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="520">
      <subfield code="a">Presented at the SEIO (Sociedad Española de Estadística e Investigació Operativa) Congress 2003, Lleida 8 to 11th April.</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="520">
      <subfield code="a">An adaptation of the proximal algorithm for the traffic assignment problem under a user&#xd;
equilibrium formulation for a general asymmetric traffic network is presented in this&#xd;
paper, following the recently published results of Pennanen regarding convergence under&#xd;
nonmonotonicity. As is well known the problem can be formulated as a variational&#xd;
inequality and the algorithmic solutions developed uptodate guarantee convergence&#xd;
only under too restrictive conditions which are difficult to appear in practice. In this&#xd;
paper new conditions guaranteing convergence are developed and the possibility of&#xd;
including the algorithm on a bilevel scheme is discussed</subfield>
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      <subfield code="a">Preprint</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Traffic assignment</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">variational inequality</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">proximal point algorithm</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Bilevel programming</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">demand adjustment</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Classificació AMS::62 Statistics</subfield>
   </datafield>
   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">The general traffic assignment problem: a proximal point method for equilibrium computation with application to the demand adjustment problem</subfield>
   </datafield>
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