With the effective parallel computation algorithm, the simulation of complex inviscid flow is finally achieved more efficiently and quickly.
进一步配合流场有效的并行计算算法，最终可实现高效、快捷地模拟复杂流场。
The results of numerical experiments, the statistics of speedup ratio and parallel efficiency all show the success of parallel unstructured grid generation method and parallel computation algorithm.
数值试验的结果以及并行计算的加速比、效率的统计，进一步验证了网格并行生成方法以及并行计算算法的有效性。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
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