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The iterative process continues with a new defined design subspace and factorial design plan until convergence is attained.
The process is repeated until convergence is attained, i.e., |q (k) − q (k − 1)| is smaller than a predefined threshold ε 0. Table 1 Iterative optimization algorithm 1. Set ( {N}_{max}^l ), ( {N}_{max}^q ) (maximum number of iterations) and initialize q (1) and q (0), the iteration index l = 1, k = 1, and ε 0 > 0 (convergence tolerance). 2.
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The numerical equations are solved iteratively until convergence was attained which generally happened after three complete 24-h cycles.
The searches were iterated until convergence was attained.
In this case, convergence is attained after three iterations.
As in the previous case, convergence is attained after five iterations.
To ensure the computed aerodynamic results are independent of the grid size, the density of grid was increased until negligible difference in solution is attained towards convergence.
Return to (S2) until convergence is reached.
This process repeats until convergence is reached.
The sequential process is continued until convergence is achieved.
The iteration is repeated until convergence is achieved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com