#Stochastic Simulation

Assignment 2 - Discrete Event Simulation and Queueing Theory

Authors

Universiteit van Amsterdam

• Valentina Bazyleva (13583611)
• Chaitanya Kumar (13821369)

Requirements

Tested with the following, will most likely work well with other versions.

• numpy 1.19.4
• scipy 1.7.2
• matplotlib 3.5.0
• seaborn 0.11.2
• pandas 1.2.3
• simpy 4.0.1

Files

Python Scripts

Not meant to be executed as main - imported in the notebooks.

• assignment_analytical.py: functions for analytical values of performance measures; used for visualization of theoretical results and verification of discrete event simulations.
• assignment_util.py: utility functions, PRNG functions etc
• assignment_queue.py: discrete event simulation objects; this is where all the simpy code is

Notebooks

• analytical.ipynb: plots of theoretical waiting times
• statistical.ipynb: discrete event simulations, statistical tests, and plots