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1)  local iteration
局部迭代
1.
A novel approximative iteration technique-local iteration, is combined into two-dimensional Multilevel Fast Inhomogeneous Plane Wave Algorithm (MLFIPWA), namely Local MLFIPWA (LMLFIPWA), to solve 2D electromagnetic scattering problem efficiently.
将一种新型的近似迭代技术——局部迭代融合到二维多层快速非均匀平面波算法,形成二维局部多层快速非均匀平面波算法,用于二维电磁散射问题的快速计算。
2)  local iteration algorithm
局部迭代算法
1.
A local iteration algorithm was proposed, which solves the non-separation problem of applying Collage Theorem for finding the appropriate fractal parameters and can gradually converge to final optimization.
采用具几何意义的简洁迭代格式,简化了压缩变换组中使用的分形参数和计算环节;提出了一种局部迭代算法,解决了利用拼帖定理确定分形参数时出现的无法分离求解问题,可以逐步收敛到最优解。
3)  iterated local search
迭代局部搜索
1.
An evolutionary iterated local search algorithm with the features of multiple neighborhood structures and population-based evolution is designed to solve the model.
提出了一种基于多个邻域结构和种群进化策略的进化迭代局部搜索算法,用于求解该模型。
2.
Finally, we present an iterated local search document clustering alglrithm based on K-medoid, which uses the improved K-medoid do.
最后,将该改进算法作为局部搜索过程嵌入到迭代局部搜索结构中,构造一个基于K中心点的迭代局部搜索文档聚类算法,进一步改进了文档聚类结果。
3.
This paper presents an Iterated Local Search document clustering algorithm based on K-means, it takes the solution by K-means algorithm as its initial solution, from which local search process is started; during the searching, some bad solutions are accepted.
本文提出一个基于K-均值的迭代局部搜索文档聚类算法。
4)  selective partial updates
选择性局部迭代
5)  iterative partial threshold
局部阈值迭代
1.
First,it takes an iterative partial threshold to determine the threshold of each sub-image.
该算法首先用局部阈值迭代法确定各个子图像的阈值,得到一个待处理的矩阵;然后利用TV-norm对阈值矩阵进行插值处理,使之成为与原图像像素数目相同的新矩阵,得到光滑的阈值曲面,进而实现对图像的分割;最后通过仿真试验说明该算法的可行性和有效性。
6)  iterative local closest point
基于迭代局部最近点法
1.
Auto and rapid medical image registration for image guided neurosurgery system based on iterative local closest point;
神经外科导航系统基于迭代局部最近点法技术的形态学三维数据场的快速配准与融合
补充资料:“龙钮玉押”上的龙钮局部(元代)

 

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