The phrase "accuracy of the optimization" is correct and usable in written English.
It can be used when discussing the precision or correctness of an optimization process in various fields such as mathematics, computer science, or engineering.
Example: "The accuracy of the optimization is crucial for ensuring that the model performs well in real-world scenarios."
Alternatives: "precision of the optimization" or "correctness of the optimization".
Three confirmatory experiments were performed to evaluate the accuracy of the optimization procedure and maximum adsorption capacity of 285.56 mg/g was achieved under the optimized conditions.
A confirmatory experiment was performed to evaluate the accuracy of the optimization procedure and maximum fluoride removal of 88.78% was achieved under the optimized conditions.
Finally, the validation experiment is conducted based on the optimum result to verify the accuracy of the optimization.
To improve the efficiency and accuracy of the optimization, an analytical kinematic model based on geometric relationship rather than coordinate transformation was built.
Due to the complexity of the mathematical model, several different numerical procedures were generated, and their influence on the computational burden and on the reliability and accuracy of the optimization to reach the global optimum were studied.
Results show the possibility of decreasing the computational burden by several orders of magnitude without sacrificing the accuracy of the optimization results, by appropriately selecting the parameters of the temporal reduction method.
In order to view the accuracy of all the optimization results, the optimized total generation output for 3000 scenarios by LC-SB-SA are compared with LC, and the relative errors are illustrated in Fig. 3.
The accuracy of this optimization was reinforced by performing RT-PCR on genes with a small FPKM value (0.05-1.97) when 'Max multihits' was set to 10, and confirming the mRNA expression (Additional File 1, Figure S1).
Because we could prove the speed and accuracy of the developed optimization method, we consider it very useful for investigating metabolic fluxes and for developing efficient algorithms combined with a global optimization method.
To learn about the difficulty of the problem, we first compare the speed and accuracy of the standard optimization methods and devise a number of variants tailored to this particular problem.
We then assessed the accuracy of the dose optimization software using in silico validation experiments using multidose pharmacokinetic data from a small cohort of patients not included in the original population pharmacokinetic model.
