Integral estimation on 2D Dynamics modeling Spiral integral (test)
0.016Relative L2 Error (relL2)MC
Evaluation Results
| Method | Links | |
|---|---|---|
| MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=4002026.05 | 0.016 | |
| MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=4002026.05 | 0.019 | |
| MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=4002026.05 | 0.019 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.8002026.05 | 0.019 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.8602026.05 | 0.019 | |
| MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=4002026.05 | 0.02 | |
| MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=2002026.05 | 0.021 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.6802026.05 | 0.021 | |
| MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=4002026.05 | 0.021 | |
| MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=4002026.05 | 0.022 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.9202026.05 | 0.022 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.6202026.05 | 0.023 | |
| MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=4002026.05 | 0.024 | |
| MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=4002026.05 | 0.025 | |
| MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=2002026.05 | 0.026 | |
| MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=2002026.05 | 0.027 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.5002026.05 | 0.028 | |
| MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=2002026.05 | 0.029 | |
| MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=1002026.05 | 0.031 | |
| MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=2002026.05 | 0.031 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.7402026.05 | 0.031 | |
| MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=2002026.05 | 0.033 | |
| MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=2002026.05 | 0.034 | |
| Neural statistical functionnormalized interval width (s1 - s0)=0.5602026.05 | 0.036 | |
| MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=1002026.05 | 0.038 | |
| MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=1002026.05 | 0.038 | |
| MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=1002026.05 | 0.04 | |
| MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=2002026.05 | 0.041 | |
| MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=502026.05 | 0.042 | |
| MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=1002026.05 | 0.042 | |
| MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=1002026.05 | 0.048 | |
| MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=1002026.05 | 0.049 | |
| MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=502026.05 | 0.051 | |
| MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=502026.05 | 0.051 | |
| MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=1002026.05 | 0.054 | |
| MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=502026.05 | 0.057 | |
| MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=502026.05 | 0.061 | |
| MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=502026.05 | 0.065 | |
| MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=502026.05 | 0.07 | |
| MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=502026.05 | 0.08 | |
| MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=102026.05 | 0.096 | |
| MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=102026.05 | 0.109 | |
| MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=102026.05 | 0.112 | |
| MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=102026.05 | 0.129 | |
| MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=102026.05 | 0.134 | |
| MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=102026.05 | 0.141 | |
| MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=102026.05 | 0.172 | |
| MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=102026.05 | 0.173 |