On the other hand, many techniques used nowadays in computational electromagnetics rely on processing matrices.
另一方面，当今许多计算电磁学技术还是依赖于矩阵的。
Matrices computation is the most important in numerical computations. Linear array with reconfigurable pipelined bus system (LARPBS) is a parallel efficient computational model based on optical bus.
矩阵运算是最重要的数值计算，基于流水光总线的可重构线性阵列系统(LARPBS)是一种建立在光总线上的并行高效计算模型。
Its accuracy and computational burden are between those weighted by matrices and weighted by scalars. It is suitable for real time applications.
它的精度和计算负担介于按矩阵和按标量加权融合器两者之间，且便于实时应用。
Utilizing the symmetry of matrices and the idea of substructure, the computational precision and efficiency of the PIM are improved.
通过矩阵变换，利用矩阵对称性、子结构等方法改进精细积分计算效率。
The generalized strict opposite Angle occupies the superior matrix the determination holds the important status in the computational mathematics and the theory of matrices research.
广义严格对角占优矩阵的判定在计算数学和矩阵论的研究占有重要的地位。
The computational complexity and dimension of matrices in computation are much lower than QR Decomposition Method, which is used now in power systems for the determination of dynamic stability.
这一方法比电力系统中现用的QR分解法优越，其运算量与矩阵运算阶次均大大低于QR分解法。
The computational complexity and dimension of matrices in computation are much lower than QR Decomposition Method, which is used now in power systems for the determination of dynamic stability.
这一方法比电力系统中现用的QR分解法优越，其运算量与矩阵运算阶次均大大低于QR分解法。
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