We can show by inspection that the algorithm proceeds sequentially and the proof is already halfway there.
通过观察可知，算法继续进行，证明已经完成了一半。
The proposed algorithm is then compared with the commonly used DR algorithm, and we show that our algorithm is very effective.
最后，将提出的这种自适应DR算法与普通DR算法进行了比较研究。
The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, though running an example, we show that this algorithm is effective.
提出了一种基于条件粒度熵的属性约简的启发式算法，通过例子分析，表明该算法是有效的。
On this basis, we proposed a two-step solution of the traveling salesman problem, a large number of simulation experiments show that the algorithm has produced good results.
在此基础上，我们又提出了解决旅行商问题的两步法，大量的仿真实验表明这一算法取得了良好的效果。
Based on detailed analysis of experimental results, we show that in AR application the algorithm is adaptive and robust.
通过对实验结果的详细分析，证明了本算法在增强现实系统应用中的适应性和稳定性。
We validate our new algorithm by experiments of searching computer-relevant papers on the Web sites of four famous computer departments. The results show that the new algorithm has better performance.
针对国外四所著名大学计算机系网站中计算机论文资源的搜索实验表明，新算法可以有效提高搜索效率。
Experiments show that the algorithm which we choose ultimately achieve better recognition results, and the relatively strong real-time.
实验表明，最终我们选择的算法能达到比较好的识别效果，并且实时性比较强。
Then we used the NS2 software to emulate the algorithm and the results show that it can provide a better average end-to-end delay and quality of service (QoS).
最后用ns2进行仿真，结果表明该算法能够提供较好的端到端延迟，从而更好的保证了网络服务质量。
Numerical results show that the present algorithm is efficient and reliable. The last chapter, we present a modified filter trust region method for bound constrained problems.
第六章，由第五章求解无约束问题的多维滤子信赖域修正算法出发，将其推广到界约束乃至凸约束的优化问题。
The simulation results show that with this algorithm we can achieve significant time reduction while maintaining the PSNR and bit rate.
实验表明，本算法在编码性能下降可忽略的情况下，使编码时间有显著减少。
The experimental results on natural images show that the new algorithm is stable and practical, and we achieve satisfied results.
基于自然图像的显著目标检测实验结果表明，该方法具有较强的稳定性和实用性，得到较为满意的检测结果。
The experimental results on natural images show that the new algorithm is stable and practical, and we achieve satisfied results.
基于自然图像的显著目标检测实验结果表明，该方法具有较强的稳定性和实用性，得到较为满意的检测结果。
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