SVDKSVD — SLEPc 3.25.0 documentation

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# SVDKSVD

SVDKSVD = “ksvd” - A wrapper to the KSVD singular value solver [Sukkari et al., 2019].

## Notes

Only available for standard SVD problems.

This is a direct singular value solver, that is, the full decomposition is computed. The computation involves redistributing the matrices from PETSc storage to ScaLAPACK distribution, and vice versa (this is done automatically by SLEPc). Alternatively, the user may create the problem matrices already with type `MATSCALAPACK`.

The implemented method is supposed to be more scalable than the one in `SVDSCALAPACK`.

## References

[Suk19]

D. Sukkari, H. Ltaief, A. Esposito, and D. Keyes. A QDWH-based SVD software framework on distributed-memory manycore systems. ACM Trans. Math. Software, 2019. doi:10.1145/3309548.

## See Also

SVD: Singular Value Decomposition, `SVD`, `SVDType`, `SVDSetType()`, `SVDSCALAPACK`

## Level

beginner

## Location

src/svd/impls/external/ksvd/svdksvd.c

Index of all SVD routines Table of Contents for all manual pages Index of all manual pages