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Linear Algebra - Singular Value Decomposition Problem
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[QUOTE="YoshiMoshi, post: 5461703, member: 541098"] Sorry I don't understand. It has to be orthornormal to u_1 so taking the dot product with u_1 and u_2 has to be zero and that's were it comes from? I'm talking about just when it finds sigma_1 and sigma_2 why don't we consider the negative square root into our calculation when we find SVD? Like when we form the sigma matrix it's the singular values in a diagonal matrix, so I just don't understand really why we don't consider the negative root. [/QUOTE]
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Linear Algebra - Singular Value Decomposition Problem
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