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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
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BMC Systems Biology

ISSN: 1752-0509

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