由于其运算矩阵为稀疏矩阵，可用稀疏矩阵算法对译码进一步简化，使译码算法的集成电路实现容易。
Because the matrix is a sparse matrix, the decoding can be simplified and its implementation by VISL can become easy.
ADAMS采用拉格朗日动力学方程，辅以刚性积分算法以及稀疏矩阵技术来求解模型。
ADAMS solves the model by adopting Lagrange dynamics equation and complementing with rigidity integral algorithm and sparse matrix technology.
在分析多体动力学仿真计算中广泛使用的增广法基础上，提出了一种基于稀疏矩阵技术的改进算法。
On the basis of analysis on augmentation approach widely used in the multibody dynamic simulation, an improved algorithm based on sparse matrix technique was proposed.
介绍了对稀疏矩阵进行压缩存储时，稀疏矩阵相乘运算的基本思想和算法。
This paper introduces the basic idea and algorithm of sparse Matrix multiplication by using incompact storage method.
采用AD I与高阶紧致差分相结合的方法计算大型非对称稀疏矩阵，并实现了该算法在半导体器件模拟中的应用。
In this paper, we apply ADI and high-order compact finite difference method for large-scale asymmetric sparse matrix in semiconductor device simulation.
利用此算法，最后可以得到一个用于计算每个节点场分量的稀疏系数矩阵。
Using this algorithm, a sparse coefficient matrix which is used to calculate the field component on each node can be obtained.
本文主要是论述稀疏非负矩阵分解算法在矿产资源定量预测中的应用研究。
In this article, the sparse non-negative matrix factorization algorithm is applied to quantitative predict the mineral resources.
基于多种稀疏变换基和观测矩阵的组合，采用正交匹配追踪算法对图像进行重建。
Orthogonal Matching Pursuit (OMP) algorithm is used to reconstruct images based on the combinations of several common sparse transform bases and measurement matrices.
对于所求解方程的系数矩阵的高度稀疏性，给出了紧缩存储算法，节省了存储空间和减少了计算量。
Because the coefficient matrix of the equation to be solved is very sparse, the algorithm with the compact storage scheme is given and the computation cost is also reduced.
由于BFGS算法产生的矩阵一般是稠密的，因此当它用于求解大规模最优化问题时需采用一定的稀疏技巧。
Because of the density of the matrices produced by the BFGS method generally, it must adopt particular sparse technique for solving large dimensional optimization problems.
本文提出了一种用于半导体器件数值分析的新颖的稀疏矩阵技术及其算法实现。
A novel sparse matrix technique for the numerical analysis of semiconductor devices and its algorithms are presented.
该算法采用人们熟悉的树型数据结构，可以较为合理地表示稀疏校验矩阵中行与列中非零元素的跳转关系。
This algorithm used the data of tree structure, and could more reasonably the skipping relations of the non-zero elements in the rows and lines of the sparse check matrix.
实验结果表明：基于稀疏矩阵划分的个性化推荐算法在算法性能上优于传统协同过滤算法。
Moreover, compared traditional collaborative filtering method, the experimental results show the effectiveness and efficiency of our approach.
非负矩阵分解算法简单，易于实现，并且具有降维、收敛和稀疏等特性。
Moreover, NMF algorithm is simple and easy to implement and it has features such as dimension-lowering and sparse convergence.
该方法利用Curvelet多尺度几何分析后信号的稀疏性特点，采用了C - means聚类方法寻求混合矩阵估计值，把该估计值作为算法初始值。
According to signals sparsity by Curvelet transform, the mixed matrix can be estimated with C-means cluster analysis, and the estimated value is looked as initial value of BSS algorithm.
该方法利用Curvelet多尺度几何分析后信号的稀疏性特点，采用了C - means聚类方法寻求混合矩阵估计值，把该估计值作为算法初始值。
According to signals sparsity by Curvelet transform, the mixed matrix can be estimated with C-means cluster analysis, and the estimated value is looked as initial value of BSS algorithm.
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