用奇异值分解实现捷联式矩阵最佳正归化的方法
Optimal Orthonormalization of Strapdow Matrix by Singular Value Decomposion
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摘要: 本文提出了一种矩阵最佳正归化*的新方法--奇异向量法,并论述了这一方法 的理论依据.通过与其它方法在收敛性、精度及计算次数方面的对比,说明了奇异 向量法的优越性.Abstract: In this paper a new algorithm--singular vector algorithm for optimal orthonormalization of matrix is suggested. The advantages of this algorithm are investigated by comparing it with other iterative algorithms in convergence, accuracy and computational effort.
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