r89 wrote:
It seems like Boost doesn't support eigen-analysis, is that true?
I've been using VXL/VNL for eigenanalysis, but my project must get rid of dependencies on VXL/VNL, so I'm wondering what would be the easiest transition? By
Yes and no. Your described use case (2x2 and 3x3) is not well supported. However, there is the experimental "numeric-bindings" library in the boost-sandbox, that provides bindings against external libraries for eigenvalue computations like lapack, ACML or MKL. But honestly, I would try to avoid the dependence on such external libraries if all I want are the eigenvalues of 2x2 and 3x3 matrices. the
way, the matrices I'm dealing with are of size 2x2 and 3x3.
The library "eigen" (http://eigen.tuxfamily.org) may be for you, but you may have the same dependency problem with it as with VXL/VNL. (I have no idea why your project must get rid of dependencies on VXL/VNL, so I can't tell whether your project will have the same problems with "eigen".) Regards, Thomas