LEADER 02320nam 22004573 450 001 9911046597503321 005 20250704112440.0 010 $a9786287536579$b(electronic bk.) 035 $a(MiAaPQ)EBC30540279 035 $a(Au-PeEL)EBL30540279 035 $a(OCoLC)1379477786 035 $a(CKB)26635636900041 035 $a(Exl-AI)30540279 035 $a(NyNyDIG)DIGEPUJ0405 035 $a(EXLCZ)9926635636900041 100 $a20230516d2022 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAprende Modelando $eGuía de Aprendizaje, Desde el Problema a la Solución con AMPL 205 $a1st ed. 210 1$aBogota :$cSello Editorial Javeriano,$d2022. 210 4$d©2022. 215 $a1 online resource (1284 pages) 311 08$aPrint version: Morillo, Daniel Aprende Modelando: Programación Lineal Entera-Mixta Bogota : Sello Editorial Javeriano,c2022 330 $aThis book, 'Aprende Modelando: Programación Lineal Entera-Mixta', serves as a comprehensive guide to learning mixed-integer linear programming (MILP) using AMPL. It is designed to assist readers in understanding and constructing mathematical models for optimization problems that can be formulated through linear programming or MILP. The book introduces problems with increasing levels of complexity and emphasizes a step-by-step approach to model construction, covering problem description, parameter definition, decision variable selection, objective function development, and constraint specification. It includes AMPL code examples and solutions using solvers like CPLEX or Gurobi. This educational resource is intended for students and professionals in operations research, engineering, and data science, aiming to enhance their modeling skills.$7Generated by AI. 606 $aInteger programming$7Generated by AI 606 $aMathematical optimization$7Generated by AI 615 0$aInteger programming 615 0$aMathematical optimization 676 $a519.6 700 $aMorillo$b Daniel$01866536 701 $aGatica$b Gustavo$01866537 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911046597503321 996 $aAprende Modelando$94473944 997 $aUNINA