The algorithm USES primary decomposition of monomial ideals as the principal tool.
该算法使用的主要分解单项理想的主要工具。
In the implementation of the Time Base calculation above, the algorithm USES a helper multiply function.
在上面TimeBase计算的实现中，算法使用了一个辅助乘法函数。
The algorithm uses a group of connective nodes without loop as a generalized data gather vertex set.
算法选取网络中一组无环连通点集抽象为广义数据汇聚点集。
The algorithm USES the feedback information of the receiver and can response quickly to the network statement.
该算法使用接收方的反馈信息及时对网络状态做出反应，能够较好地预防和缓解网络拥塞的状况。
The algorithm uses the hinging hyperplanes model that uses hinging hyperplanes as basis functions in expansion.
该算法使用的“链接超平面”模型，也就是以“链接超平面”作为基函数。
The algorithm USES the Expectation Maximization (EM) clustering method to identify clusters and their sequences.
该算法采用期望最大化(EM)聚类分析方法来识别分类及其顺序。
Specifically, the algorithm USES a probabilistic method to determine the probability that a data point exists in a cluster.
该算法明确地使用某种概率性方法来确定某个数据点存在于某个分类中的概率。
The algorithm uses bisection method to allocate bandwidth to the frames in the current window by virtue of R-D model of FGS.
该算法通过FGS的失真模型，使用二分法对当前窗口中的所有帧进行速率分配。
The algorithm uses EIGRP to collect network resource information and the optimized flooding algorithm to get explicit route.
该算法以增强型内部网关路由协议（EIGRP）收集网络资源信息，以优化的泛洪算法来获取显示路由。
Furthermore, the algorithm USES "Window" statistics method to calculate the minimum error in order to optimize the track continuity.
对关联上的航迹片段利用“窗口”统计最小误差方法进行优化，提高了整个航迹的连续性。
Moreover the overall evaluation vehicles track the algorithm USES determines when the counting around whether is the identical vehicle.
另外综合考虑车辆跟踪的算法用以判定在计数时前后是否是同一辆车的问题。
The algorithm uses Simple API for XML(SAX) parser and structural join, matches and outputs all following-sibling nodes of the given nodes.
采用SAX解析器与结构连接方法，对XML文档中所有已知节点与后兄弟节点进行精确匹配并输出。
The algorithm USES an adaptive filter to track the echo path, and an auxiliary filter to cancel the echo together with the adaptive filter.
该算法使用自适应滤波器跟踪回声信道，使用一个辅助滤波器和自适应滤波器一起完成回声消除。
The algorithm uses minimum storage space compared to other algorithms, but with similar performance and convenient for hardware implementation.
该算法与其它算法相比使用存储空间最少，却具有相似的性能，便于硬件实现。
The algorithm USES posterior information to modify model's noise variance and markov transition matrix, so as to make IMM have adaptive ability.
该算法采用后验信息修正模型的噪声方差和马尔可夫转移矩阵，使IMM具有自适应能力。
The algorithm USES the channel correlation in the frequency domain to greatly reduce the computation complexity and the number of required samples.
利用信道频率相关特性降低了算法复杂度，同时解决了算法对样本数的依赖问题。
The algorithm USES the name of the serializable class, names of all the interfaces it implements, all the data members of the serializable class, etc.
该算法使用了可序列化的名称、类实现的所有接口的名称、可序列化类的所有数据成员，等等。
The algorithm uses a fixed set of complementary parity codes to replace the encoding table that dynamically generated by the traditional Huffman method.
该算法使用固定奇偶码，省去了传统算法动态生成哈夫曼树的繁琐过程；
The algorithm uses a predictive model that makes whitening treatment of the obsevations and a predictive deconvolution (PDC) method to estimate the MA parameters.
本文导出了预测反卷积法（PDC）的多步迭代形式，以改进参数估计。
The algorithm USES multi-time steps to replace single time step in traditional non-uniform finite-difference time-domain (NU-FDTD) method to enhance the computing speed.
该方法通过应用多个时间步长替代传统非均匀时域有限差分(NU - FDTD)法的单一时间步长的算法来提高计算速度。
The algorithm uses this discrimination information to update the noise energy in all frames including the speech frames, so it could better trace changes in the noise-energy.
算法通过利用鉴别信息，能够在包括语音帧在内的所有帧中更新噪声的能量，从而更准确地跟踪噪声能量的变化。
The algorithm uses SLDF to measure the deviate degree of space points object. It calculates all the points' SLDF, sorts by their values, and uses the top M as the space outlier.
利用SLDF度量空间点对象的离群程度，计算空间数据集中点对象的SLDF值并对其进行排序，将取值较大的前M个点对象作为空间离群点。
The algorithm USES data from Baidu's map app, said a research report published by Baidu's Big data Lab Tuesday, studying the number of map queries and the number of users in an area.
百度大数据实验室周二发布的研究报告指出，该算法使用了百度地图应用程序的数据，研究地图查询和用户在一个地区的数量。
The algorithm uses a difference image histogram of four directions to measure the influence of spatial correlation, and temporal correlation is measured by the histogram of frame difference.
该算法利用视频序列中各帧的四方向差分直方图度量隐写对空间相关性的影响，同时利用相邻帧帧间差分的直方图度量隐写对时间相关性的影响。
The algorithm USES a population of points at a time in contrast to the single point approach by traditional optimization methods. The convergence is monotonic and a global solution is obtained.
与单点最优算法相比，该方法为多点寻优，单调收敛，可获得全局最优解和用于长、短期或实时优化调度。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
At a fixed interval of time the algorithm USES classification information to calculate the load of nodes, and forwards the request in accordance with the forwarding probability within the group.
算法在固定间隔时间点利用分类信息进行节点的负载计算，并且在转发请求时按照组内的转发概率进行转发。
This paper proposes a new algorithm for reconstructing a binary section from projections. Based on the binary feature of the section, the algorithm uses pattern recognition to do reconstruction.
本文提出一种二值截面重建的方法。新方法针对截面二位性的特点，用模式识别方法进行截面重建。
The algorithm uses the thought of delamination, makes local planning and global planning combination, and improves cost function, finally with ensuring optimal trajectory increases search efficiency.
该算法采用分层思想，将局部规划与全局规划相结合，并对代价函数进行了改进，在保证航迹优化的基础上，提高了搜索效率。
The algorithm uses the thought of delamination, makes local planning and global planning combination, and improves cost function, finally with ensuring optimal trajectory increases search efficiency.
该算法采用分层思想，将局部规划与全局规划相结合，并对代价函数进行了改进，在保证航迹优化的基础上，提高了搜索效率。
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