Table 2.
Relative Computational Speeds for Case Study 1
| 100 × 100 Simulation Grid ~5,000 Agents
|
200 × 200 Simulation Grid ~10,000 Agents
|
|||||
|---|---|---|---|---|---|---|
| ODE Numerical Method | ODE Numerical Method | |||||
|
| ||||||
| PDE Numerical Method | FE (Δt = 0.6s) | RK4 (Δt = 6s) | TR (Δt = 6s) | FE (Δt = 0.6s) | RK4 (Δt = 6s) | TR (Δt = 6s) |
| FTCS (Δt = 6s) | 1.0 | 2.3 | 4.6 | 1.0 | 2.6 | 5.4 |
| ADE (Δt = 30s) | 1.8 | 4.3 | 12.8 | 1.2 | 3.9 | 7.7 |
| SM (Δt = 120s) | 1.8 | 5.5 | 22.7 | 1.2 | 5.2 | 23.6 |
FTCS – Forward Time Central Space, ADE – Alternating Direction Explicit, SM – Spectral Method, FE – Forward Euler, RK4 – Runge-Kutta 4th Order, TR – Tuneable Resolution
N=3 for all simulations. 100×100 – Relative Speed of 1.0 corresponds to 7589 s of simulation time, 200×200 – Relative Speed of 1.0 corresponds to 46907 s of simulation time