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ResearchFormerly WizWand

Integral estimation on 2D Dynamics modeling Spiral integral (test)

0.016Relative L2 Error (relL2)MC
0.009720.052110.09450.13689May 11, 2026
Updated 5mo ago

Evaluation results

MethodLinks
MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=4002026.050.016
MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=4002026.050.019
MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=4002026.050.019
Neural statistical functionnormalized interval width (s1 - s0)=0.8002026.050.019
Neural statistical functionnormalized interval width (s1 - s0)=0.8602026.050.019
MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=4002026.050.02
MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=2002026.050.021
Neural statistical functionnormalized interval width (s1 - s0)=0.6802026.050.021
MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=4002026.050.021
MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=4002026.050.022
Neural statistical functionnormalized interval width (s1 - s0)=0.9202026.050.022
Neural statistical functionnormalized interval width (s1 - s0)=0.6202026.050.023
MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=4002026.050.024
MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=4002026.050.025
MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=2002026.050.026
MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=2002026.050.027
Neural statistical functionnormalized interval width (s1 - s0)=0.5002026.050.028
MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=2002026.050.029
MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=1002026.050.031
MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=2002026.050.031
Neural statistical functionnormalized interval width (s1 - s0)=0.7402026.050.031
MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=2002026.050.033
MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=2002026.050.034
Neural statistical functionnormalized interval width (s1 - s0)=0.5602026.050.036
MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=1002026.050.038
MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=1002026.050.038
MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=1002026.050.04
MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=2002026.050.041
MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=502026.050.042
MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=1002026.050.042
MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=1002026.050.048
MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=1002026.050.049
MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=502026.050.051
MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=502026.050.051
MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=1002026.050.054
MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=502026.050.057
MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=502026.050.061
MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=502026.050.065
MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=502026.050.07
MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=502026.050.08
MCnormalized interval width (s1 - s0)=0.500, number of Monte Carlo samples (K)=102026.050.096
MCnormalized interval width (s1 - s0)=0.620, number of Monte Carlo samples (K)=102026.050.109
MCnormalized interval width (s1 - s0)=0.560, number of Monte Carlo samples (K)=102026.050.112
MCnormalized interval width (s1 - s0)=0.680, number of Monte Carlo samples (K)=102026.050.129
MCnormalized interval width (s1 - s0)=0.740, number of Monte Carlo samples (K)=102026.050.134
MCnormalized interval width (s1 - s0)=0.800, number of Monte Carlo samples (K)=102026.050.141
MCnormalized interval width (s1 - s0)=0.860, number of Monte Carlo samples (K)=102026.050.172
MCnormalized interval width (s1 - s0)=0.920, number of Monte Carlo samples (K)=102026.050.173