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Exact(24)
Compared with the traditional method, the computational cost is significantly decreased.
In the Newton-Raphson method, the computational complexity primarily comes from finding the update direction.
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.
It is consequently very easy to implement the method, the computational cost being almost of the same order as cross-validation.
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.
Similar(36)
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.
The proposed method reduces the computational complexity and convergence time significantly.
However, this method decreases the computational efficiency and impedes its applicability in bulk power systems.
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