<mets:mets OBJID="eprint_4493" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2024-01-01T23:55:32Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>IIASA Repository</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_4493_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Constraint Aggregation Principle: Application to a Dual Transportation Problem</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">R.</mods:namePart><mods:namePart type="family">Rozycki</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Constraint aggregation technique is a new method for solving convex optimization problems. This paper focuses on the examination of the efficiency of the aggregation technique. Some properties of the basic version of the algorithm are presented  for convex optimization problems with linear constraints.  Various parameters and advanced versions of this algorithm are examined  on the example of the dual transportation problem.  The results obtained allow to formulate some interesting conclusions.  Special attention is directed to the advantages achieved  by implementation of partial aggregation idea.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1995-09</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>WP-95-103</mods:publisher></mods:originInfo><mods:genre>Monograph</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_4493"><mets:rightsMD ID="rights_eprint_4493_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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