Predicting the mean first passage time (MFPT) to reach any state for a passive dynamic walker with steady state variability
Fig 6
Numerically averaged MFPT*s using Monte-Carlo simulations (bold dots) compared to theoretical curve fits using bias-modified and conventional transport variables for networks with (a) (U = 1.2, σ = 0) (b) (U = 0.8, σ = 0.3), (c) (U = 1, σ = 0.5), (d) (U = 1.2, σ = 0.7).
The r-squared value sets obtained for curve fitting using conventional and bias-modified variables for the four cases were [0.60713, 0.88098], [0.64693, 0.95868], [0.61473, 0.86012] and [0.65008, 0.82429] respectively.