numerical linear algebra

英 [njuːˈmerɪkl ˈlɪniə(r) ˈældʒɪbrə] 美 [nuːˈmerɪkl ˈlɪniər ˈældʒɪbrə]

网络  数值线性代数

计算机



双语例句

  1. Numerical topics include dense and sparse linear algebra, N-body problems, and Fourier transforms.
    课程的数学主题包括稠密/疏线性代数、体问题和傅立叶变换。
  2. Application of numerical linear algebra to aerotriangulation with model
    数值线代数在模型法解析空中三角测量中的应用
  3. The matrix factorization and its modification is one of the most effective techniques 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。
  4. In the past three decades, one of the most important topics in numerical linear algebra is the solution of algebraic Riccati equations.
    在过去的三十多年中,代数Riccati方程的数值求解一直是数值代数界和控制论界关注的重要课题。
  5. The singular value decomposition plays a very important role in matrix theory and numerical linear algebra, especially in the study of generalized inverses of matrices.
    奇异值分解在矩阵理论中有着极其重要的作用,尤其是在广义逆理论的研究中。
  6. Advances and Unsolved Problems in Numerical Linear Algebra
    数值代数的几项进展及待解决的问题
  7. To find and apply special structures of matrix, reducing it or doing something special, and then make good numerical algorithm for concerned problems, is always the important idea and basic method of linear system and numerical algebra.
    发现并利用矩阵的特殊结构对其降阶及其它特殊处理,进而针对相关计算问题设计好的算法是线性系统和数值代数研究的重要思想和基本方法。
  8. The numerical linear algebra deconvolution method was a useful method to obtain the local RTD, verified by ideal reactor systems.
    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。
  9. Backward errors and condition numbers play an important role in modern numerical linear algebra.
    向后误差和条件数是数值代数的两个基本概念,前者反映了算法的向后稳定性。
  10. Linear eigenvalue problems continue to be an important and relevant area of research in numerical linear algebra.
    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。
  11. 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.
    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。