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用奇异值分解的方法求解方程 Ax = b 的程序

于 2020-08-12 发布 文件大小:1KB
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下载积分: 1 下载次数: 13

代码说明:

  奇异值分解的方法求解方程,奇异值分解(SVD)是计算机视觉领域中一种使用最为广泛的矩阵分解技术。我们已经知道...关于使用SVD分解方法求解AX=0方程的一点说明(Singular value decomposition (SVD) is one of the most widely used matrix decomposition techniques in computer vision. We already know... A note on the use of the SVD decomposition method to solve the AX=0 equation.)

文件列表:

用奇异值分解的方法求解方程 Ax = b 的程序\SVD_equation - 副本 (2).m, 398 , 2010-08-19
用奇异值分解的方法求解方程 Ax = b 的程序\SVD_equation - 副本 (3).m, 398 , 2010-08-19
用奇异值分解的方法求解方程 Ax = b 的程序\SVD_equation - 副本.m, 398 , 2010-08-19
用奇异值分解的方法求解方程 Ax = b 的程序\SVD_equation.m, 398 , 2010-08-19
用奇异值分解的方法求解方程 Ax = b 的程序, 0 , 2018-11-10

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