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The Singular Value Decomposition
Singular values, the SVD, the pseudoinverse, low-rank approximation, and principal component analysis.
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A matrix has singular values
7
,
4
,
0
7,\ 4,\ 0
7
,
4
,
0
.
What is its rank?
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x
n
√
⌫
AC
7
8
9
+
4
5
6
−
1
2
3
×
0
.
a
b
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