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The soot volume fraction was predicted with the maximum discrepancy less than 30% for all cases considered.
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Following Lartillot et al (2009) recommendations, all effective sizes were greater than 200 and maximum discrepancy between chains was less than 0.1.
The maximum discrepancy (maxdiff parameter) had values less than 0.3, and the effective sizes (for loglik parameter) ranged from 58 to 188.
For each data set, two independent runs were executed until the maximum discrepancy between the bi-partition was less than 0.1.
We considered independent runs converged when the maximum discrepancy observed across all bipartitions was less than 0.3, and the effective sample size was greater than 100 (Lartillot et al. 2009).
The validation results for the temperature showed a maximum discrepancy of the numerical predictions with respect to the measurements of less than 2 [°C] and a discrepancy below 7 for the electric power production both over a complete day of simulation.
We used the automatic stopping rule feature of PhyloBayes and ran two chains in parallel until the maximum discrepancy between the columns of the trace files of the chains was less than 0.1 and the effective sizes of each column in the trace files were greater than 100.
The comparison shows good agreement (maximum discrepancy is 0.45%).
The maximum discrepancy in the results reached approximately 2 ns.
The maximum discrepancy across the discontinuity is approximately 1.6 m.
Results of this comparison showed a maximum discrepancy of 3·63percentt.
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