数值线性代数

结合理想反应器体系的验证表明，数值线性代数去卷积方法处理P曲线和T曲线得到局部RTD是有效的。

The numerical linear algebra deconvolution method was a useful method to obtain the local RTD , verified by ideal reactor systems .

一直以来，在数值线性代数中，线性特征值问题都是一个重要的研究领域。

Linear eigenvalue problems continue to be an important and relevant area of research in numerical linear algebra .

矩阵分解的校正技术是数值线性代数中最有效的工具之一。

The matrix factorization and its modification is one of the most effective techniques in numerical linear algebra .

同时奇异值分解作为数值线性代数的最有用和最有效的工具之一，在统计分析、信号与图像处理，系统理论与控制中广泛应用。

At the same time , as the most useful and effective instrument in numerical linear algebra , singular value decomposition has been widely applied in many areas , such as in the statistical analysis , signal and image processing , system theory and control .

然后采用最小二乘法和沿虚边界分段离散化的待定的分布横向荷载和法向弯矩函数得到求上述积分方程离散化数值解的线性代数方程组。

Secondly , a system of linear algebraic equation is obtained by numerically solving the above system of integral equation using the least square method and the piece-wise discrete distributing transverse loads and the normal bending moments acted along the virtual boundary .