Monte Carlo

[Lmx154]

Add Monte Carlo methods of simulation for the following:

• Atmospheric Conditions
• Motor Performance
• Mass Properties and Inertia
• Aerodynamic Coefficients
• Launch and Deployment Conditions

To implement a full Monte Carlo framework:

• Wrap the simulation in a loop (e.g., 100-1000 iterations).
• Use NumPy for random draws from appropriate distributions (normal for most parameters, uniform for angles).
• Aggregate outputs (e.g., apogee altitude, landing point) to compute statistics like mean, standard deviation, or confidence intervals.