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- Some Matlab/Octave code for TD5 (9 feb 2018)
- In view of TD5 (9 feb 2018), you should install Octave, YALMIP, SDPT3 (or SeDuMi or both),
`containers.Map`on your laptops. See this README file for instructions - Some material from
**lecture 1** - The course starts on Friday 12 jan 2018: 1400-1600 lecture in lecture theatre Lagarrigue, and 1615-1815 TD (two separate groups) in PC13-PC14.

- The slides. They will evolve during the course.
- A new set of lecture notes I am preparing. Work in progress.
- The lecture notes I used until last year
- Downloadable chapters from the AMPL book
- Downloadable AMPL packages (Linux/MacOSX/Windows with a 4-month temporary license)

- Leo Liberti (Office 2015, LIX @ Turing Building)
- Fabio Roda, Ecole Polytechnique
- Pierre-Olivier Bauguion, IRT SystemX

14-16: lecture in Amphi Lagarrigue; 1615-1815 TD in PC13-PC14 January: friday afternoons (12, 19, 26) February: friday afternoons (2, 9, 16, 23) March: friday and thursday afternoon (9, 15)

Every "teaching slot" will be composed by 2h lectures (fri 14-16) in and 2h of computer practice (fri 1615-1815) in PC13 and PC14: bring your laptops!

Exam: I don't know yet.

- AMPL is
*A**M*athematical*P*rogramming*L*anguage. Optimization problems coded in AMPL look very close to their corresponding mathematical formulation. - Each problem instance is coded in AMPL using three files: a model
file (extension
`.mod`), a data file (extension`.dat`) and a run file (extension`.run`). - The model file contains the mathematical formulation of the problem.
- The data file contains the numerical values of the problem parameters. Different data files for the same model file correspond to different instances of the same optimization problem.
- The run file specifies the solution algorithm. This may be implemented in an external numerical solver, such as CPLEX, or coded by the user in the AMPL language itself. We will often use a combination of the two.
- The student edition of AMPL can be downloaded here for either UNIX or Windows platforms. Download and install, from the same webpage, the solvers CPLEX, MINOS, and SNOPT, too.
- I obtained some temporarily licensed AMPL packages for Linux32, Linux64, MacOsX64, MSWin32, MSWin64 OSes.

- The AMPL website
- The first 2 chapters of the AMPL book
- An AMPL tutorial
- Another operations research course I taught at X in 2007/2008
- This thingamajig I totally and utterly fail to understand and/or get to work: moodle