Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/3195
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dc.creatorStanojević, Milanen_US
dc.creatorStanojević, Bogdanaen_US
dc.date.accessioned2025-12-25T09:16:18Z-
dc.date.available2025-12-25T09:16:18Z-
dc.date.issued2024-
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/3195-
dc.description.abstractIn this paper we present our Lua programming language libraries that enable modeling and solving mixed integer linear and nonlinear mathematical optimization problems. On one side, these libraries provide a framework for developing algorithms written in Lua that use certain well known solvers within more complex procedures. On the other side, they facilitate the transformation of both input and output data of a mathematical programming problem, in order to compute the standardized coefficients that have to be transmitted to the solvers or prepare solution of solved problems for further data processing. Both of these use cases, together with Lua programming language simplicity, versatility and performance, make Lua a suitable programming language for use in scientific and engineering researches.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsopenAccessen_US
dc.sourceProcedia Computer Scienceen_US
dc.subjectDynamic callable libraryen_US
dc.subjectAMPL/GMPL languagesen_US
dc.subjectCBC solveren_US
dc.subjectALGENCANen_US
dc.subjectmathematical optimizationen_US
dc.titleLua APIs for mathematical optimizationen_US
dc.typeconferenceObjecten_US
dc.identifier.doihttps://doi.org/10.1016/j.procs.2024.08.160-
dc.type.versionpublishedVersionen_US
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeconferenceObject-
Appears in Collections:Radovi istraživača / Researchers’ publications
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