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The iterative optimization procedure consists of calculation of nonlinear normal modes, solving an adjoint equation system for sensitivity analysis and an update of design variables using a mathematical programming tool.
This work illustrates the development and use of a sophisticated analysis tool utilizing multi-objective particle swarm optimization to allow calculation of the Pareto-optimal set of designs under any combination of dry-bulb temperature and brine temperature while accounting for necessary real-world constraints.
After optimization of the structures, calculations of the density of states, d-band center, electron charge transfer, and adsorption energies of the intermediates of oxygen reduction reaction were accomplished.
In the optimization calculations of location of redundant measurements as an objective functions minimizing the relative standard deviation of a boiler thermal capacity and maximizing the Kullback-Leibler divergence have been accepted.
In the process of optimization calculation, the maximum iteration number is 100.
Geometry optimization and calculation of vibration frequency were carried out by means of the B3LYP density functional approach.
The geometry optimization and calculation of vibrational frequency were carried out by the B3LYP density functional method.
The AM1 semiempirical method was applied for geometrical optimization and calculation of the partial atomic charges.
Thus more rigorous experiments should be conducted to determine biomarker cut-off optimization and calculation of ROC curves.
These findings imply that for individual dose optimization, individual calculation of the bone marrow absorbed dose is necessary.
This finding implies that for individual dose optimization, individual calculation of the bone marrow absorbed dose is necessary.
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