Authors: | Stanojević, Milan Stanojević, Bogdana |
Affiliations: | Computer Science Mathematical Institute of the Serbian Academy of Sciences and Arts |
Title: | Lua APIs for mathematical optimization | Journal: | Procedia Computer Science | Volume: | 242 | First page: | 460 | Last page: | 465 | Conference: | 11th International Conference on Information Technology and Quantitative Management (ITQM 2024) | Issue Date: | 1-Jan-2024 | ISSN: | 1877-0509 | DOI: | 10.1016/j.procs.2024.08.160 | Abstract: | In 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. |
Keywords: | ALGENCAN | AMPL/GMPL languages | CBC solver | Dynamic callable library | mathematical optimization | Publisher: | Elsevier |
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