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1)  GCR(k) algorithm
GCR(k)算法
1.
Employing an intrinsic property of the GCR(k) algorithm and eliminating data interdependence for inner product computation in the GCR(k) algorithm,an improved parallel GCR(k) algorithm called IGCR(k) algorithm is established for solving large non-symmetric sparse linear systems derived from multi-scale prediction model.
针对多尺度预报模式离散得到的非对称稀疏线性方程组的求解,通过利用GCR(k)算法的固有性质,消除GCR(k)算法的内积计算数据相关性,给出了一种改进的GCR(k)(IGCR(k))算法。
2)  Generalized Conjugate Residual(GCR) algorithm
GCR算法
1.
By relying on an intrinsic property of the Generalized Conjugate Residual(GCR) algorithm and eliminating data interdependence for inner product computation in the GCR algorithm,an improved parallel GCR algorithm is proposed for solving large non-symmetric sparse linear systems in this paper.
针对大型非对称稀疏线性方程组的求解,通过利用广义共轭残差(GCR)算法的固有性质,消除GCR算法的内积计算数据相关性,给出一种改进的广义共轭残差(IGCR)算法。
3)  k-means algorithm
k-means算法
1.
Optimization study on initial center of K-means algorithm;
K-means算法的初始聚类中心的优化
2.
Application of K-means algorithm in macroscopic planning of highway transportation hub based on ant clustering algorithm;
一种基于蚁群算法的K-means算法——在公路运输枢纽宏观布局规划中的应用
3.
Research of K-means Algorithm and Parallelism Based on Hybrid Particle Swarm Optimization;
基于混合PSO的K-means算法及并行化研究
4)  K-NN algorithm
K-NN算法
5)  ω-k algorithm
ω-k算法
1.
The wavenumber domain algorithm (ω-k algorithm for short) has the ability to process wide-beam SAR data because it has the ability to handle the range-azimuth coupling correctly.
波数域算法(简称ω-k算法)可以很好地解决距离向和方位向的耦合问题,从而有能力处理宽波束SAR数据。
6)  K-mean algorithm
K-mean算法
补充资料:GC
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性质:用气体作为流动相的色谱法。根据所用固定相状态的不同,又可分为气固色谱法和气液色谱法。分析样品可以是气体、液体或固体,只要在-196~500℃温度范围内有26.6644~1333.22Pa(0.2~10mmHg)蒸气压,而且热稳定的物质,均可用气相色谱法来分析。

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