The numerical results show that this algorithm is very effective for large scale problem, and the precision is improved.
数值例子的结果显示，该算法对处理大规模问题高效的，并且可大大提高精度。
Identification of dynamic natural frequencies and viscosity damping coefficient for a large-scale structure in practical working condition is a very difficult problem.
大型构件在实际工作环境中的系统动态固有频率和粘性阻尼系数辨识一直是一个“棘手”的问题。
Feature space is high dimensional and sparse in text categorization, the process of dimension reduction is a very key problem for large-scale text categorization.
文本分类中特征向量空间是高维和稀疏的，降维处理是分类的关键步骤。
Experimental results show that our new algorithm can resolve the influence maximization problem more efficiently than the classical algorithms while the scale of the problem is very large.
实验结果表明，在影响力最大化问题的规模较大的情况下，与典型算法相比，本文提出的新算法能够用更少的时间、更高的效率解决问题。
Experimental results show that our new algorithm can resolve the influence maximization problem more efficiently than the classical algorithms while the scale of the problem is very large.
实验结果表明，在影响力最大化问题的规模较大的情况下，与典型算法相比，本文提出的新算法能够用更少的时间、更高的效率解决问题。
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