SVD_SMALLEST

The solver is configured to compute smallest singular values.

Note

Computing small singular values is generally more difficult than computing largest ones, because in many cases these values are very small and tightly clustered together. In the case of rank-deficient matrices, smallest singular values are zero, and this may pose difficulties to the solvers.

See Also

SVD: Singular Value Decomposition, SVDWhich, SVDSetWhichSingularTriplets(), SVD_LARGEST

Level

intermediate

Location

include/slepcsvd.h

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