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Table 1 Results of SParSE and SParSE++ applied to the birth-death process

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

\(\mathcal {P}_{\mathcal {E}}\) \(\epsilon _{\mathcal {P}_{\mathcal {E}}}\) Tot. Iter. Tot. Iter. Time (s) Time (s) No. Gain No. Loss
   SParSE SParse++ SParSE SParSE++   
0.40 0.01 293 175 1139.0 684.9 119 1
  0.05 189 139 685.1 517.4 53 3
  0.10 139 121 476.2 457.6 21 3
0.60 0.01 332 171 1128.7 602.2 161 0
  0.05 175 141 539.5 500.1 38 4
  0.10 129 120 378.3 421.6 9 0
0.80 0.01 242 186 728.8 629.8 60 4
  0.05 139 137 449.9 480.8 3 1
  0.10 110 110 342.2 382.7 2 2
0.010 0.001 279 244 3943.5 3656.6 44 9
  1. The first column denotes the target probability, the second column absolute error tolerance, the third column the total number of SParSE samples computed for the 30 initial parameter sets, the fourth column the total number of SParSE++ samples computed for the 30 initial parameter sets, the fifth the total number of iterations gained by running SParSE++ compared to SParSE, and the sixth the total number of iterations lost by running SParSE++ compared to SParSE. N S =5×104 for all configurations except \(\mathcal {P}_{\mathcal {E}} = 0.01\), where N S =2×105