考虑在工作站机群上实现大型稀疏矩阵和向量乘的负载平衡。
The load-balanced multiplication of a large sparse matrix with vector on workstation cluster is considered.
选择共轭梯度法解决由有限元法形成的大型稀疏矩阵方程，应用FORTRAN语言编制了数值模拟系统软件。
Conjugate gradient method were choosed to solve the large sparse matrix equations induced by the FEM and computer language FORTRAN was used to programme the numerical simulation system software.
该均衡器具有稀疏矩阵结构，因此计算量小。
The equalizer has a sparse matrix structure and thus a low computational complexity.
对于大稀疏矩阵，在计算中保持矩阵的稀疏性是很重要的。
For large sparse matrix, it is very important to keep the sparse of matrix in computation.
用户评分矩阵稀疏问题影响协同过滤的推荐性能。
The sparse user-item matrix often hurts the performance of recommendation system.
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.
本文就电子电路机助分析与设计中的稀疏矩阵技术进行了分析和讨论。
This paper deals with the topics of sparse matrix techniques for computer-aided analysis and design of electronic circuits.
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.
本文研究了稀疏矩阵技术在微型机上解电力网络的节点方程组。
The node equation set of the electric network is solved on a microcomputer with sparse matrix technique.
编程中采用了稀疏矩阵向量相乘的优化技术。
Optimization techniques for the sparse matrix vector multiplication are adopted in programming.
研究了计算大型稀疏对称矩阵的若干个最大或最小特征值的问题。
The problem of computing a few of the largest (or smallest) eigenvalues of a large sparse symmetric matrix is investigated.
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.
然后求解这个加权矩阵方程，得到频率域的稀疏解。
Then the sparse solution in frequency domain can be obtained through computing the weighted matrix equation.
利用稀疏分量的直线聚类性，提出了欠定盲源分离中估计混合矩阵的一种方法。
A method of the mixing matrix estimation in underdetermined source separation is proposed, which is based on the linear clustering of sparse component.
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.
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.
稀疏向量法通过利用向量的稀疏性来提高求解矩阵方程的效率，它被成功地应用到电力系统分析的众多问题。
The sparse vector method enhances the efficiency of matrix solution algorithms by exploiting the vector sparsity. It has been successfully applied to many problems arising in power systems.
因此，希望采用适当的稀疏矩阵技术来压缩存储量、提高运算的速度。
So a proper sparse-matrix technique is desired to reduce the amount storage and increase the speed of calculation.
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.
指出通过分散文档或稀疏矩阵的形式进行参数传递，对不同形式变量进行合理的定义，可提高程序的运行效率。
The operational efficiency of program is improved when the parameters are transferred by dispersed document or sparse matrix and the variables of different forms are defined reasonably.
利用稀疏矩阵技术求解大型稀疏线性方程组。
Large sparse system of linear equations are solved by sparse matrix methods.
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.
介绍了稀疏矩阵的四种常见形式以及稀疏矩阵技术在天测与测地VLBI数据处理中的应用。
Some ordinary forms of sparse matrix and the application of sparse matrix technology in astrometric and geodetic VLBI data analysis are introduced.
所得系统矩阵是一个带状稀疏矩阵。
稀疏矩阵指数必须是正整数。
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.
为解决词频矩阵的词频维数过大和矩阵过于稀疏的问题，提出一种子主题区域划分的多文档自动文摘方法。
In order to solve the greatly dimension of word frequency and sparse matrix, this paper proposes a multi-document summarization method based on sub-topics area partition.
LDPC码是一种特殊的具有稀疏校验矩阵的纠错编码，其性能逼近香农限。
Low density parity check (LDPC) code, which is a special case of error correction code with sparse parity-check matrix, has the performance very close to the Shannon Limit.
LDPC码是一种特殊的具有稀疏校验矩阵的纠错编码，其性能逼近香农限。
Low density parity check (LDPC) code, which is a special case of error correction code with sparse parity-check matrix, has the performance very close to the Shannon Limit.
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