complex conjugate matrix 复共轭阵 ; 复共轭矩阵 ; 共轭复数阵
self-conjugate matrix 自共轭矩阵
transposed-conjugate matrix 转置共轭矩阵
k degree r-conjugate matrix k次r
an conjugate matrix 共轭矩阵
self conjugate matrix 自共轭矩阵
self - conjugate matrix 自共轭矩阵
conjugate matrix equation 共轭矩阵方程
transpose conjugate matrix 转置共轭矩阵
Conjugate gradient method were choosed to solve the large sparse matrix equations induced by the FEM and computer language FORTRAN was used to programme the numerical simulation system software.
选择共轭梯度法解决由有限元法形成的大型稀疏矩阵方程，应用FORTRAN语言编制了数值模拟系统软件。
Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
It is studied factorizing a matrix over quaternion field to the product of two self - conjugate matrices . and some useful results are obtained.
摘要研究了四元数矩阵分解为两个自共轭矩阵乘积，其中有一个是非奇异阵的条件，得到了一些有用的结果。
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