the time complexity of this model was analysed.

one is simple, its time complexity is o ( n).

一个算法较为简单，其时间复杂性为O（n）。

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indepth study to the time complexity of linear time selection algorithm

线性时间选择算法时间复杂度深入研究

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the estimation of time complexity plays an important role in the algorithm analysis.

时间复杂性计算在算法分析领域中起着极为重要的作用。

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we prove this algorithm has high performance via the time complexity analysis.

通过时间复杂度分析证明了算法效率的高效性。

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time complexity of establishing network with random multiple access system

随机接入网络的组网时间复杂性

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two network flow based algorithms with polynomial time complexity were proposed.

在此基础上提出了基于网络流的具有多项式复杂度的算法。

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time complexity of this algorithm is o ( n).

该算法的时间复杂性为O（n）。

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it gives the algorithm based on the proposed method and the time complexity analysis.

给出该求解方法的聚类算法描述及算法时间复杂度分析。

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the time complexity of the algorithm is analyzed in the paper.

经过算法时间复杂度的分析，证明改进算法提高了计算速度。

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it can increase speed and efficiency, but do not enhance the space complexity and maintenance complexity of words dictionary.

在不提升已有典型词典机制空间复杂度与维护复杂度的情况下，一定程度上提高了中文分词的速度和效率。

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abstract in order to decrease the space complexity of image storage and transfer, it is necessary to do image compression.

为了降低图像存储、传输的空间复杂度，必须对图像进行压缩。

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these three algorithms improve the traditional algorithm efficiency on aspects such as time complexity, space complexity and time-space complexity respectively.

这三种算法分别从时间复杂度，空间复杂度以及时间空间复杂度协调这三种不同的角度对传统字节码校验中的不足进行了有效的改进。

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we mainly apply dimension reduction methods which can reduce the time complexity and space complexity effectively and also obtain better recognition effect.

主要采用降维的方法进行数据压缩，获取重要的特征信息以进行匹配的实现，这样既降低了时间复杂度和空间复杂度，同时也获得了较好的识别效果。

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at last, the analysis and comparison with the quadtree structure was made in both time complexity and space complexity.

最后，从时间复杂度和空间复杂度两个方面与四叉树结构进行分析比较，给出评估结果。

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the analysis and the results of experiments show that the scheme has low time complexity, low space complexity and good security.

实验和分析结果表明，算法的时间复杂度和空间复杂度较低，加密效果较好，安全性较高。

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finally, we analyze the space complexity and time complexity of this algorithm and compare it with previous scheme.

最后分析了改进算法的时间复杂度和空间复杂度，并与同类算法进行了比较。

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experimental results show that the algorithm is efficient on the time complexity and the space complexity, but also has good performance.

实验结果表明算法在时间复杂度和空间复杂度是高效的，而且具有较好的性能。

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the algorithm organization is improved. that reduces the space complexity to about 1/ 5 of before.

改进了层次式计算的流程，使算法的空间复杂度降到原算法的1/5左右。

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theoretical analyses show that the method has a linear space complexity and converges to the global optimum.

对算法的空间复杂度和收敛性进行了理论分析。

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this largely decreased space complexity.

这样，大大降低了算法的空间复杂度。

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