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The spring 2018 offering of the Computational Methods in Engineering course continues to provide rigorous training in computational methods.
YW proposed the computational method.
CCL implemented the computational method.
In conclusion, our data demonstrated the effectiveness of an innovative computational method to analyze the liver FDG kinetics under pharmacological or pathophysiological stimuli.
The computational efficiency and effectiveness of the proposed method were tested on a problem.
The computational effectiveness of the method is illustrated by applying it to the classical vibration absorber and to a cantilever beam carrying an absorber at its midpoint.
Example problem confirms the effectiveness of the proposed method while it requires computational time only as much as the static analysis does.
The computational results confirm the effectiveness of the exact method for the location problem while testifies the proposed algorithms can obtain effective solutions compared with that of the exact solutions for the allocation problem in both deterministic and uncertain environment.
Computational results show the effectiveness of the proposed method.
Three sensors were found to be required and comparison with a genetic algorithm has revealed the effectiveness of the proposed method in terms of accuracy and computational time.
The simulation results show the effectiveness of the proposed method in terms of output performance improvement and the computational burden.
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