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Recently, in [1] the authors introduced the class of simulation functions as follows.
Finally, Khojasteh et al. in [12] defined a simulation function as follows.
The use of metamodels as surrogates for the expensive simulation functions has been investigated as a possible remedy to this problem.
In Fig. 15, we show the particle size distributions at the end of the simulation as functions of radius and altitude.
R functions for reordering the simulation dataset as well as generating the nested loop plot are given in Additional file 2, together with an example of its use in Additional file 3. The method and its application are best explained using the motivating example.
The excel file is loaded directly into the rxncon tool from which all export functions as well as the simulation interface will be available.
The signals used for the simulations are triangular and rectangular wave functions as well as a sine function with periods ranging from minutes to years and amplitudes of 25, 50, and 100 cm.
Simulation functions are seen as practical support for human cooperationwith complex automation systems.
To avoid this behavior, we defined the apoptosis profile within the simulation as a function of total number of germ cells produced rather than as a function of developmental time.
In Fig. 6, we show the direct comparison between the predictions of the formula and the simulation, as a function of λ.
The actual level of P is calculated at each step of the simulation as a function of the production and degradation rates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com