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A projected gradients framework was performed to optimization the JLNMF cost function.
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Simulation analyses are then performed to explore optimization strategies that consider production magnitude and functional diversity within polycultures.
According to these data, response surface methodology (RSM) with a central composite rotatable design (CCRD) was performed to condition optimization.
For all calculations, multiple runs, each with different initial parameter values, were performed to ensure optimization and convergence.
Several rounds of trimming with variations in –l were performed to facilitate optimization of the mapping process.
An exhaustive search on the index is performed to solve this optimization problem.
An exhaustive search on is performed to solve this optimization problem.
Realignment of the genome assemblies was then performed to visualize the optimization and final architecture of the draft genomes.
An optimization is performed to find the optimal catalyst concentration.
Evolutionary algorithm for multiobjective optimization is performed to obtain global Pareto optimal solutions.
It is performed to solve the following optimization to estimate the phase error.
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