为提高计算效率，采用了多重网格法、当地时间步长和残差光顺等加速收敛措施。
Residual smoothing, local time stepping and a new multi-grid scheme were employed to improve calculative efficiency and accelerate the convergence.
为提高计算效率，提出了基于人工神经网络(ANN)的发输电组合系统可靠性评估模型。
For improving the calculation efficiency of reliability evaluating (re) for bulk power system, a novel re model based on artificial neural network (ANN) is proposed.
为提高计算效率，本方法采用了射线加速技术，包括背面采集、二元空间分区算法和降维处理。
For raising the capacity, this method has used the ray acceleration technology, including that the back gathers and the partition algorithm in binary space and decreasing dimensions.
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