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。
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.
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.
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.
讨论基于稀疏矩阵的文档图像存储及处理方法。
Storage and processing of document images based on sparse matrices are discussed.
喷泉码是一种在删除信道下性能优越的稀疏矩阵码。
Fountain code is record-breaking sparse-graph code for channels with erasures.
该矩阵为稀疏矩阵，将该矩阵用三元组法来进行表示。
This URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
本文介绍了一种新型的矩阵变换器—稀疏矩阵变换器，它具有传统的矩阵变换器的优点：四象限运行；
This paper details a novel matrix topology—Sparse Matrix Converter, it compares to matrix converter has the same advantages such as: four quadrant operation;
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.
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.
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.
高阶矩阵运算和存储量都特别大，为了减少运算和存储量，本文讨论了稀疏矩阵、单位矩阵、对称矩阵的存储方法。
Calculation and storage are trouble for high level matrix. For the sake of these problems, the storage method of the sparse matrix, unit matrix, symmetry matrix are discussed in this paper.
然后将其与地震子波褶积，使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程，并采用奇异位分解法求解。
The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.
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.
该矩阵由于其构成的非常稀疏性大大简化了图像重建过程中的投影计算，从而提高重建速度。
Owing to its sparsity of structure, new matrix greatly simplifies the projection operation during images reconstruction, which greatly improving the speed of reconstruction.
一个由矩量法生成的稠密矩阵经过压缩后，可以稀疏存储。
A dense matrix arising from MoM can be stored in sparsity after compressed.
一个由矩量法生成的稠密矩阵经过压缩后，可以稀疏存储。
A dense matrix arising from MoM can be stored in sparsity after compressed.
应用推荐