算法

We testify that the inverse compositional AAM is more efficient than the original one by an experiment.

提出了一种新的基于局部指向性的反向合成图像对齐算法——反向合成梯度算法，给出了局部指向性的定义及表达式，详细推导了反向合成梯度算法，总结了其计算步骤：实验结果表明，与原始的反向合成图像对齐算法相比，反向合成梯度算法能够有效克服图像中光照变化的影响。

In this paper a genetic algorithm four-dimension data assimilation system was applied to the more complex MM5 model, we verify the performance of the genetic algorithm assimilation system, we take the a heavy rainfall process during 04-05, July, 2003 as the experimental research object, and carry out data assimilation experiment of actual observation data, compare the experimental results of the genetic algorithm assimilation system and MM5 adjoint model assimilation system with the experimental results without assimilation, the following is the result:genetic algorithm assimilation system is used not only in a barotropic primitive equation but also in the complex model, MM5, for example, in the ideal experiment the result of the genetic algorithm assimilation system is better than the MM5 adjoint model assimilation system, in the assimilation experiment of actual observation data, whichever assimilation system is used, the initial field of numerical prediction model is effectively improved and the prediction effect of physical field and rainfall are somewhat enhanced.

本文将遗传算法的四维同化系统运用到更复杂的MM5模式中，在理想实验中验证遗传算法同化系统的性能，并以2003年7月4日"南京暴雨"作为研究对象，进行了实际观测资料的同化，并将遗传算法同化系统和MM5伴随模式同化系统得到的结果跟未同化的结果进行了比较，结果如下：遗传算法同化系统不仅可以用在正压原始方程模式上，同样也可以用在MM5等复杂模式上，理想实验证明了遗传算法同化系统优于MM5伴随同化系统，在实际观测资料同化中，采用两种方法的同化系统都能有效地改善数值预报模式的初始场，能在一定程度上提高物理量场和降水量的预报效果。

The experiment result of algorithm teaching indicates that, Through training reading algorithm ability, refining the algorithmic rule ability, algorithmic language ability, applied algorithm ability, then these abilities form the resultant of forces to improve algorithm ability as a whole.

算法教学实验结果表明：通过培养阅读算法能力、提炼"算理"能力、算法语言能力、应用算法能力，使之形成合力，能促使算法能力的整体提高。

Then thedistribution of the students during the period is analyzed and thealgorithm is proposed according to the size of the total students sample.Finally based on the research above, a modified dynamic probabilitydistribution algorithm is proposed to meet the the real-time and equitydemand of the course-selection system. Compared with the knownalgorithms, this algorithm can put in practice real-time course-selection.At the same time the anticipator can select the course with the sameprobability.

本文首先对已有的选课算法进行了比较研究，随后对选课人数随时间的分布进行了分析，并进行相关算法研究，按照选课样本的大小提出了相应的算法；最后综合上述算法，提出了一种改进的基于概率动态分布的选课算法思想，使得整个选课过程中，实时性与概率动态分布有了很好的结合与体现，既实现了实时选课，又能后使得参选人尽可能的拥有相等的机会(即实现选课过程中的相对公平合理性)选中某个课堂。

Then, combined with the implementation of Arc Tangent function, FFT algorithm, Differential Positioning algorithm, and telecommunication module, the general proposal of algorithm module implementation is presented, and the design methods of practical algorithm module implementation is proposed, together with instances illustrating the advantage of standard algorithm modules.

接着，论文结合北斗用户机研制工作中开发反正切函数、FFT、广域差分算法、指挥机电文通信模块等算法模块的设计实例，归纳出算法模块实现的通用方案和实用化规范算法模块设计方法，并以若干案例说明搭建规范化算法模块的优势。

We first review the development of decomposition algorithm, discuss and analyze the basic D-W and Benders decomposition algorithm and nested algorithm based on them., and compare them with the normal simplex method.

本文首先对分解算法的发展过程及其主要算法进行了较为全面的回顾，并对基本的 D-W 分解算法，Benders 分解算法和在此基础上的嵌套分解算法进行了较为详尽的讨论和分析，以及与普通单纯形算法的比较等等。

Finally we also discuss the algorithm of syllable division, correcting algorithm, multithread algorithm and algorithm dealing with the rules of vowel and consonant harmony and the final vowel change in the Uyghur language.

此外，本论文叙述了分音节算法，替换算法，多线程处理算法&语音的和谐&处理算法和&语音的同化&处理算法等关键性的算法。

For a variety of hybrid flexible flowshop process route of the problem of production scheduling, analysis of production process planning and shop scheduling system integration principle, set up the target model, by a simple genetic algorithm to improve, in the integrated model set up based on the algorithm research, put the post-evolutionary genetic algorithm and improved simulated annealing algorithm an organic combination of algorithm optimization mechanism to enable the integration and optimization of the structure complement each other to form a more efficient hybrid optimization algorithm, and to solve the problem.

针对混合柔性流水车间多种工艺路线的生产调度问题，分析了生产工艺计划与车间调度系统的集成原理，建立目标模型，通过将简单遗传算法加以改进，在建立集成模型的基础上，对算法进行研究，把进化后的遗传算法和改进的模拟退火算法有机结合，使算法优化机制融合和优化结构互补，形成较为高效的混合优化算法，并对问题进行求解。

node location is one of the key technologies in wireless sensor network.rssi－based location is a hotspot in nowadays.for resolving biggish error in rssi－based location,the paper presents a new method of location,rssi－based triangle and centroid location,using triangle and centroid method to reduce the error of rssi measurement.simulation experiments prove that this algorithm can obviously improve the location accuracy compared to trilateration.

摘 要：节点定位是无线传感器网络中的关键技术之一。基于rssi的定位技术是现阶段研究的热点，为解决rssi测量方法定位误差较大的问题，提出一种将rssi测量方法与三角形质心算法相结合的新型定位算法，该算法用三角形质心算法减小rssi的测量误差。仿真表明该算法比基于rssi的三边测量法定位算法的定位精度有较大提高。

Firstly, this paper carries a deep research of K-means which is one of clustering analysis algorithms, and proposes an efficient clustering algorithm based upon vector space initial clustering and nearby cluster search, which is composed of the two sub algorithms SPIC and CANC.

本文首先对聚类分析方法中的K-means算法展开深入研究，提出了一种基于向量空间预聚类和邻近簇调整聚类的高效聚类算法，该算法由两个子算法部分构成：SPIC子算法和CANC子算法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。