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pulsatrix
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SVD()'s result, the thin factorization A = U diag(S) V^T with k = min(m, n). More...
#include <matrix_decompositions.hpp>

Public Attributes | |
| Tensor | u |
Shape (m, k): orthonormal left singular vectors. | |
| Tensor | s |
Shape (k): singular values, largest first, non-negative. | |
| Tensor | v |
Shape (n, k): orthonormal right singular vectors, signs made canonical. | |
SVD()'s result, the thin factorization A = U diag(S) V^T with k = min(m, n).
| Tensor pulsatrix::SVDResult::v |
Shape (n, k): orthonormal right singular vectors, signs made canonical.