PDE Approximation on Deterministic Burgers evolution Q=0
0.0092Value at x=0Algorithm 1 (QHPDE)
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Algorithm 1 (QHPDE)noise=Q=02026.03 | 0.0092 | 0.3434 | 0.4512 | 0.4636 | 1.475 | 1.781 | 2.428 | 0.2213 | |
| Monte Carlo Finite Differencenoise=Q=0, points=251, simulations=50,000, dt=10^-42026.03 | 0 | 0.3338 | 0.4446 | 0.4739 | 1.456 | 1.755 | 2.504 | 0.2184 |