Skip to main content

Table 5 Detailed breakdown of SParSE++ applied to SIRS disease dynamics leaping usage on eight initial reaction rates that exhibited slowest SParSE convergence

From: SParSE++: improved event-based stochastic parameter search

  SParSE++ Leaping Usage  
k 0 CE WAInterp WALowSig Bisect Tot Gain
[0.079 1.59 2.42] 2 1 0 0 3 39
[0.081 1.07 2.28] 2 1 2 0 5 35
[0.067 3.96 2.37] 2 0 0 0 2 13
[0.064 3.31 1.71] 2 0 0 0 2 8
[0.035 1.22 2.38] 1 1 0 0 2 14
[0.040 3.59 1.52] 1 0 0 0 1 6
[0.080 2.08 2.22] 1 0 0 0 1 20
[0.031 3.16 1.84] 1 0 0 0 1 9
  1. Columns 2-5 list the number of times CE leaping, weighted average (WA) leaping prior interpolation, WA leaping on one-sided low signal region, and the bisection method were employed, respectively, for k 0 in column 1. The total number of leaping methods employed for each initial set of reaction rates is given in column 6. Lastly, the number of iterations saved by running SParSE++ over SParSE is listed in column 7