OPTIMIZATION
Academic Year 2017/2018 - 1° Year
Teaching Staff: Laura Rosa Maria SCRIMALI
Credit Value: 6
Scientific field: MAT/09 - Operational research
Taught classes: 24 hours
Exercise: 24 hours
Term / Semester: 1°
Credit Value: 6
Scientific field: MAT/09 - Operational research
Taught classes: 24 hours
Exercise: 24 hours
Term / Semester: 1°
Learning Objectives
The course aims at presenting the basic concepts of optimization. The course provides students with the analytic tools to model and foresee situations in which a single decision-maker has to find the best choice. The attention focuses on applications in economics, engineering and computer science.
Detailed Course Content
The course deals with linear and nonlinear optimization problems from both the theoretical and the computational point of view. The following issues will be presented:
* primal and dual simplex methods in linear programming;
* Branch and Bound method and cutting plane methods in integer programming;
* optimality conditions for nonlinear problems;
* numerical methods for constrained and not constrained problems.
Textbook Information
- R. Tadei, F. Della Croce, “Elementi di Ricerca Operativa”, Società Editrice Esculapio, 2005;
- R. Tadei, F. Della Croce, A. Grosso, “Fondamenti di Ottimizzazione”, Società Editrice Esculapio, 2005;
- R. Baldacci, M. Dell’Amico, “Fondamenti di Ricerca Operativa”, Pitagora Editrice, 2002;
- M. Bruglieri, A. Colorni, “Ricerca Operativa”, Zanichelli, 2012;
- M. Caramia, S. Giordani, F. Guerriero, R. Musmanno, D. Pacciarelli, “Ricerca Operativa”, Isedi, 2014
- F. Hillier, G.J. Liebermann, “Ricerca Operativa”, McGraw-Hill, 2006