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Singular Value Decomposition
Can diagnose or (nearly) solve singular or near-singular systems.
Used for solving linear least-squares problems.
Theorem: any m n matrix A can be written:
where U (m n) & V (n n) are orthogonal and W (n n) is a diagonal matrix.
Proof: buy a good linear algebra textbook.