Chinese translation for "matrix-vector"

矩阵向量

Related Translations:

matrices:  n.matrix 的复数。

matrix:  n.(pl. matrices 或matrixes)1.【解剖学】子宫；母体；发源地，策源地，摇篮；【生物学】衬质细胞；间质；基质；母质。 2. 【矿物】母岩；脉石；【冶金】基体；【地质学；地理学】脉石；填质；杂矿石。 3. 【印刷】字模；型版，纸型；铸型，阴模。4.【阵】(矩)阵，方阵；母式；【物理学】间架；【无线电】矩阵变换电路。5.【染】原色〔红黄蓝白黑五种〕。短语和

matrix matrices:  母质

matrixes:  母体, 子宫, 基质, 脉石, 模型, 矩阵

expactation vector:  期望值向量

constrained vector:  约束向量

vector power:  华尔泰矢量功率向量功率

secondary vector:  第二向量辅向量

error vector:  误差矢量误差向量

pseudo vector:  伪矢量伪向量

Example Sentences:

	1.	At the same time , we test the validity of class components of application component layer , and prove they can implement the matrix - vector parallel 同时对应用组件层的类组件进行了正确性的测试,证明可以实现相应的向量矩阵并行算法。
	2.	Since the main cost per iteration of the gmres method is the cost of the matrix - vector multiplication , the fast matrix - vector multiplication is the key of the algorithm 广义极小剩余法的每一步迭代的主要运算量来自矩阵-向量相乘，因此构造矩阵-向量快速乘法是整个快速方法的关键。
	3.	It reduces greatly the computational complexity of matrix - vector multiplication in conjugate gradient iteration improves the efficiency of mlfma while the reasonable accuracy is maintained 该方法在保证合理计算精度的同时大大降低了迭代过程中矩阵矢量相乘的计算复杂度，提高了多层快速多极子方法计算效率。
	4.	And the basic two - dimensional transient state equations for semiconductor device are dispersed and linearized . the matrix - vector form of the basic functions is get . and the solution methods are also discussed 离散和线性化了二维瞬态半导体基本方程，并得到了其矩阵-矢量方程形式，同时还讨论了其求解的方法。
	5.	To further speed up the solution of scattering from three dimensional electrically large object by multilevel fast multipole algorithm ( mlfma ) , a local multilevel fast multipole algorithm ( lmlfma ) based on local interactions is proposed to evaluate matrix - vector multiplication 摘要为了进一步加速多层快速多极子算法求解电大尺寸目标电磁散射，提出了一种基于局部耦合技术计算矩阵矢量相乘的多层快速多极子方法。
	6.	Instead , there needs to store only the original coefficient matrix , some auxiliary matrices for the preconditioner and several vectors in the iteration methods . further , the core of the iteration is the matrix - vector multiplication and the solution of the auxiliary equations corresponding to the preconditioner . if the solution of the auxiliaries spend not very much , the computational cost in each iteration step will be very cheap , due to the fact that the sparsity of the matrix can be exploited sufficiently 与直接法相比，迭代法只需存储原系数矩阵、对应于预处理的几个辅助矩阵与少量几个向量，且迭代中除求解辅助线性方程组外，其余的计算主要是稀疏矩阵与向量乘积，从而能充分利用稀疏性减少计算量，但迭代法的收敛速度一般与系数矩阵的谱分布有关。
	7.	To obtain the fast matrix - vector multiplication algorithm , we approximate the kernel function with piece - wise polynomial and get the approximate coefficient matrix a using the approximate kernel function . let n be the number of quadrature points and k2 be the number of interpolating knots at each subdomain . it is proved that the construction of a and the matrix - vector multiplication ax require o ( nk ) operations respectively 我们利用对核函数进行分片多项式插值逼近得到适用于快速方法的近似系数矩阵a ：矩阵a的计算和矩阵-向量相乘ax各需要o ( nk )次运算，存贮a需要占用o ( nk )内存，其中n为积分节点的个数， k ~ 2为每个小区域的插值节点数。
	8.	Application component layer envelops the parallel algorithms of matrix - vector operation to offer users high - level interfaces ; the other three layers implement data abstraction 、 data partition and parallel mechanism respectively , and every layer has specific class and interface definition 其中应用组件层把矩阵向量运算的并行算法封装成类组件,为用户提供了高层次的接口;另外三层分别实现数据抽象、数据划分和并行机制支持三方面功能,每一层都有具体的类组件和明确的接口定义。

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