GenericSVD.jl

Notice

This package is no longer maintained. Functionality from this package is available in GenericLinearAlgebra.jl.

Implements Singular Value Decomposition for generic number types, such as BigFloat, Complex{BigFloat} or Quaternions. It internally overloads several Base functions such that existing methods (svd, svdfact and svdvals) should work directly.

It uses a Golub-Kahan 2-stage algorithm of bidiagonalization with Householder reflections, followed by an implicit QR with shift.

Acknowledgements

Based on initial code by Andreas Noack.

References

• Golub, G. H. and Van Loan, C. F. (2013), "§8.6.3 The SVD Algorithm", Matrix Computations (4th ed.), Johns Hopkins University Press, Baltimore, MD, USA.