From Wikipedia: Monte Carlo methods are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. Their essential idea is using randomness to solve problems that might be deterministic in principle. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches.
The goal of this project would be to vizualise and study several examples of situations where Monte Carlo estimation can be used.
Schedule: To be determined with the student(s).
Supervisor: Guenda Palmirotta
Difficulty level: Introductory/Medium level.
Tools: Programs will be coded in Matlab or Scilab.
Results: [To be completed at the end of the project.]