Publication Type | Docència // Teaching |
Year of Publication | 2010 |
Quadrimestre // Term | Q1 |
Authors | F.-Javier Heredia; Jordi Castro |
Coordinator? | no |
Codi // Code | 26339 - MPM |
Key Words | teaching; UPC; FME; MEIO; IO; assignatures; modelització; AMPL; CPLEX; MINOS; MPM |
Abstract |
The overall objective of the course is for students to acquire the knowledge and the ability necessary for solving practical
decision-making problems, formulated as problems of mathematical programming, which may arise during a professional
or research career.
- Learn the mathematical formulation of some of the main mathematical programming models and develop the ability to formulate new ones.
- Acquire the ability to determine the most appropriate algorithm and the optimization software for solving these problems numerically.
- The ability to interpret correctly the results provided by the optimization software.
Skills to be learned
- Learn and understand some of the most important problems in linear, integer and nonlinear programming as well as network flows.
- Given the description of a new decision-making problem, be able to formulate the associated optimization problem correctly.
- The ability to implement and obtained the optimum solution for decision-making problems by selecting the most appropriate algorithm and optimization software in each particular case.
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URL | Click Here |
Titolació // Studies | Màster Universitari d'Estadística i Investigació Operativa UPC-UB (MEIO-UPC-UB) |
Centre // Faculty | Facultat de matemàtiques i Estadística (FME) |
Institució // Institution | Universitat Politècnica de Catalunya (UPC) - Universitat de Barcelona (UB) |
Horaris // Schedule | Tues. 14.00 - 16.00 and Wed. 17.00 - 19.00 room PC03 at FME. |
ECTS | 6 |
Export | Tagged XML BibTex |