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modular matrix相关的网络例句

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The element stiffness matrix and damping matrix were given by the transform of element displacement.

按照单元位移在结构位移列阵中的位置组装汽车振动数学模型的系数矩阵。

The rank of element stiffness matrix is determined based on the given field variable parameters before the matrix is developed.

根据单元几组已给定的场变量,在推导单刚之前,对单元刚度矩阵的秩进行判断。

A methed calculated the matrix of the stress ratio by the FEM is proposed and the value of element in the matrix of the stress ...

提出了利用有限元法计算弹性矩阵中应力比矩阵的方法,并对应力比矩阵的元素取值作了初步研究。

The expressions of element strain matrix and element stiffness matrix are given based on eliminating the internal parameters.

利用内部自由度静力凝聚处理,推导了消除内参后的单元应变矩阵和单元刚度矩阵。

The problem of finding real matrix solutions for a class of matrix equation under a submatrix constraint is discussed.

本文讨论了子矩阵约束下一类矩阵方程的实矩阵解问题。

In this paper,an iterative method is constructed to find the centrosymmetric solution of matrix equation where is real matrix pair .

本文构造了一种迭代法求矩阵方程的中心对称解对。

First, the conditions for the existence of the solutions to the problem are given, which are two matrix equations, and one of them is second-order Sylvester matrix equation.

给出了问题解的存在条件:两个矩阵方程,其中一个为二阶Sylvester矩阵方程。

Based on ear recognition, an improved NMFSC(Nonnegative Matrix Factorization with Sparseness Constraints) method was proposed by imposing an additional constraint on the objective function of NMFSC, which could capture the semantic relations of coefficient matrix as orthogonal as possible. The interated rules to solve the objective function with the constraint were presented, and its convergence was proved.

针对人耳识别问题,提出了一种改进的稀疏性受限的非负矩阵因子方法,通过增加一个使系数矩阵尽可能正交的约束条件来定义原目标函数,给出求解该目标函数的迭代规则,并证明迭代规则的收敛性。

Based on ear recognition, an improved NMFSC (Non-negative Matrix Factorization with Sparseness Constraints) method was proposed by imposing an additional constraint on the objective function of NMFSC, which could capture the semantic relations of coefficient matrix as orthogonal as possible. The interated rules to solve the objective function with the constraint were presented, and its convergence was proved.

针对人耳识别问题,提出了一种改进的稀疏性受限的非负矩阵因子方法,通过增加一个使系数矩阵尽可能正交的约束条件来定义原目标函数,给出求解该目标函数的迭代规则,并证明迭代规则的收敛性。

This paper analyses the LR factorization of matrix,and improves the algorithm based on recursive algorithm and iteration,and brings forth the developed method of matrix factorization,which accelerates the convergence speed of the factorization.

将方程组系数矩阵的LR分解算法过程加以改进,加入递归算法,使矩阵产生分块。

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