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

Files in This Item:
File Description SizeFormat
BStojanovic.pdf463.35 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

2
checked on Dec 26, 2024

Page view(s)

16
checked on Dec 26, 2024

Download(s)

4
checked on Dec 26, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons