📚TheoryIntermediate
Singular Value Decomposition (SVD)
Singular Value Decomposition (SVD) factors any m×n matrix A into A = UΣV^{T}, where U and V are orthogonal and Σ is diagonal with nonnegative entries.
#singular value decomposition#svd#truncated svd+12