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.
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.
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.
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.
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.
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.
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.
该文采用小波矩量法求解导电平面上的三维腔体散射，利用小波变换稀疏化矩量矩阵，加速其求逆，减少了腔体散射的总体计算时间。
Scattering from three-dimensional cavities is solved using the wavelet-MoM method, while the moment matrix is sparsified with help of the wavelet transform.
针对管网模型中雅克比矩阵高稀疏性的特点，采用三元组顺序表只对矩阵中的非零元素进行存储，提高了程序的存储和计算效率。
Triple table is used to only store non-zero matrix elements to improve the program's efficiency of storage and computation because simulation model's Jacobian matrix is serious sparse.
针对管网模型中雅克比矩阵高稀疏性的特点，采用三元组顺序表只对矩阵中的非零元素进行存储，提高了程序的存储和计算效率。
Triple table is used to only store non-zero matrix elements to improve the program's efficiency of storage and computation because simulation model's Jacobian matrix is serious sparse.
应用推荐