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If the predicted inlet aqueous phase concentration was different than zero, then a new initial value was used.
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For the real data case, same initial values were used for five different breath cycle simulations.
Different initial values were used as initial guesses for the optimization algorithm.
Two sets of initial values were used and convergence was assessed by examining caterpillar plots and Brooks Gelman-Rubin (BGR) statistics.
In addition, we performed computational experiments on DPLSQ-TV and DPLSQ-HS using 60 genes, where additional time series data beginning from 100 sets (in place of 200 sets) of initial values were used, and G1, G2, and G3 were obtained by addition and deletion of edges.
For the purpose of the numerical simulations conducted in this section, the following initial values are used u 0 (x, y ) = 22 y (1 − y ) 3 / 2 (1 + cos (10 π x ) ), v 0 (x, y ) = 27 x (1 − x ) 3 / 2 (1 + sin (10 π x ) ) and all computations are carried out on the domain [ 0, 1 ] 2 with periodic boundary conditions.
This value was used for initial selection of the domains correlated with the cold tolerance score.
We have used the model to predict the fold-change and concentration profiles for a range of parameter values and compare to the model outputs obtained when the initial, baseline value is used.
For each subject, the best fit from 6 different sets of initial parameter values was used, to reduce the effect of these initial values.
Cultivation in different initial pH values was used to evaluate the lipase production by C. viswanathii (Table 2).
Its initial bit values are used (1111).
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