OVERVIEW
The course deals with mathematical methods allowing to formalize and solve problems coming from the real world. For instance, the course will investigate how to model physical phenomena such as heat diffusion or wave propagation, as well as how to control in an optimal way a given process.
AIMS AND CONTENT
AIMS AND LEARNING OUTCOMES
The course focuses on three different topics: dynamic optimization, nonlinear programming, and partial differential equations.
In more detail, students will learn how to formalize and solve dynamic optimization problem via dynamic programming. Then, they will analyze the formalization and solution of static decision problem using nonlinear programming. Lastly, they will investigate the use of mathematical methods to describe real-world phenomena, such as heat diffusion and wave propagation, and the main analytical solution methods.
For all arguments, the focus will be on both methodological concepts and application examples. The various concepts are explained via traditional lessons.
TEACHING METHODS
Traditional lessons.
SYLLABUS/CONTENT
- Dynamic programming for the solution of dynamic optimization problems.
- Basic notions of nonlinear programming.
- Analytical solution of linear partial differential equations describing real-world phenomena.
RECOMMENDED READING/BIBLIOGRAPHY
Handouts in electronic format provided by the lecturer.
Books for additional details:
[1] D.P. Bertsekas, “Dynamic Programming and Optimal Control”, Athena Scientific, 2005.
[2] F.S. Hillier, G.J. Lieberman, “Introduction to Operations Research”, McGraw-Hill, 2001.
[3] R. Courant, D. Hilbert, “Methods of Mathematical Physics”, Interscience Publishers, 1973.
[4] R. Bracewell, “The Fourier Transform and its Applications”, McGraw Hill, 1999.
[5] P.V. O’Neil, “Advanced Engineering Mathematics”, Brooks Cole, 2003.
TEACHERS AND EXAM BOARD
Office hours: Students may take appointment via email sent to mauro.gaggero@cnr.it
Exam Board
MAURO GAGGERO (President)
MASSIMO PAOLUCCI (President)
MARCELLO SANGUINETI
LESSONS
TEACHING METHODS
Traditional lessons.
LESSONS START
As reported in the official calendar.
Class schedule
All class schedules are posted on the EasyAcademy portal.
EXAMS
EXAM DESCRIPTION
The exam consists of an oral interview to ensure learning of the course content.
ASSESSMENT METHODS
Learning will be assessed by a number of oral questions regarding the various topics addressed in the course.
Exam schedule
| Date | Time | Location | Type | Notes |
|---|---|---|---|---|
| 21/12/2020 | 08:30 | GENOVA | Orale | |
| 08/01/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 15/01/2021 | 09:00 | GENOVA | Scritto | |
| 05/02/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 08/06/2021 | 08:30 | GENOVA | Orale | |
| 11/06/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 02/07/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 07/07/2021 | 08:30 | GENOVA | Orale | |
| 06/09/2021 | 09:00 | GENOVA | Esame su appuntamento | |
| 16/09/2021 | 14:15 | GENOVA | Orale |
FURTHER INFORMATION
None.