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For all other methods, the computational cost is lower for smaller sample density.
By using an ASR based LRE methods, the computational cost can be significantly reduced by tightly integrating them together.
By traditional methods, the computational cost of topology optimization of the structure is high due to material nonlinearity.
In contrast to traditional methods the computational cost of the proposed method, does not depend on the intensity of the magnetic field.
Compared with other traditional methods, the computational efficiency of variational image segmentation model is much slower, so developing its fast numerical algorithms is always a challenging task in this area.
In 3D key-frame extraction methods, the computational complexity metric is only used by Lee et al. in [22], where the computational complexity of Lee's and Huang's et al. [18] methods are compared.
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In the Newton-Raphson method, the computational complexity primarily comes from finding the update direction.
Compared with the traditional method, the computational cost is significantly decreased.
Using the new method, the computational time is considerably reduced as unnecessary calculations are avoided.
In order to assess the meshless method, the computational results using uneven nodal distribution are also reported in Table 2.
Finally, to investigate the validity of the proposed method, the computational results obtained through genetic algorithm are compared with global optimal solution attained by enumerative method.
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