There are two kinds of algorithmic structures for the method of weighted recursive least squares (WRLS) corresponding to the matrix reversing (MR) formula or the QR decomposing theorem.
对应于矩阵反演公式及QR分解定理,加权最小二乘法(WRL S)存在两类不同的算法结构。
In this paper, the applications of the QR decomposition theorem and the QL decomposition theorem are also pointed out.
在本文中,也指出了QR分解定理和QL分解定理的应用。
Two conclusions drawled by schmidt's orthogonalization:(1) The QR decomposition theorem of nonsingular matrix;
从施密特正交化出发,得到了:(1)可逆矩阵的QR分解定理;
Two conclusions drawled by schmidt's orthogonalization:(1) The QR decomposition theorem of nonsingular matrix;
从施密特正交化出发,得到了:(1)可逆矩阵的QR分解定理;
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