The tridiagonal matrix method is introduced for the analogue computation in the rectification process of associated system.
本文介绍缔合物系精馏过程模拟计算的三对角矩阵法。
With the LU decomposition of the block tridiagonal matrix, an explicit expression of the block inverse elements is obtained.
由块三对角矩阵的LU分解，得到了其逆矩阵块元素的显式表达式。
A new algorithm of solving block tridiagonal systems is proposed, which is based on the special factorization of block tridiagonal matrix.
根据块三对角矩阵的特殊分解，给出了求解块三对角方程组的新算法。
In this paper, an algorithm for finding the inverse matrix of tridiagonal matrix by solving systems of linear algebraic equations is proposed.
根据三对角矩阵的特点，给出一种利用解线性方程组的方法求三对角矩阵的逆矩阵的算法。
A new algorithm of solving circulant block tridiagonal systems is proposed, which is based on the special factorization of circulant block tridiagonal matrix.
本文根据分块循环三对角矩阵的特殊分解，给出了求解分块循环三对角方程组的一种新算法。
The estimation on the inverse elements of strictly diagonally dominant tridiagonal matrix is established; in this estimation, the nonnegative condition of matrix elements is moved.
利用严格对角占优和三对角矩阵的某些特性，推导出严格对角占优三对角矩阵逆元素的统一估计式。
Tridiagonal partial inverse m matrix is a special matrix. It is tridiagonal in structure and is a partial inverse m matrix.
三对角线部分逆m矩阵是结构上为三对角线形式的同时又为部分逆m矩阵的一类特殊矩阵。
This new method reduces the computational complexity by using the block tridiagonal structure of the input sample correlation matrix, and at the same time keeps the property of fast convergence.
在保持了该算法快速收敛优点的同时，利用相关矩阵块三对角的特殊结构，降低了该算法的计算复杂度。
For a general banded matrix, discuss the sparsity pattern of the Q and R matrices from the QR decomposition of symmetric and non-symmetric tridiagonal matrices.
对于一般的带状矩阵，详述对对称与非对称三对角化矩阵做QR分解后，Q矩阵与R矩阵的稀疏元素分布型态。
For a general banded matrix, discuss the sparsity pattern of the Q and R matrices from the QR decomposition of symmetric and non-symmetric tridiagonal matrices.
对于一般的带状矩阵，详述对对称与非对称三对角化矩阵做QR分解后，Q矩阵与R矩阵的稀疏元素分布型态。
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