On 06 Mar 2015, at 04:50, Rajaditya Mukherjee <rajaditya.mukherjee@gmail.com> wrote:
Hi,
My name is Raj and I am Phd student in Computer Graphics. I am interested in tackling the problem of uBLAS Matrix Solver and in order to write my proposal, I am looking for inputs for which of the following algorithms will be most useful for prospective users in boost-numeric library. Here is a categorical list of all the prospective ones which will bring uBLAS updated to other commercial libraries like Eigen/Armadillo. Please let me know your preferences....
Hi Raj, for me finishing the "boost numeric bindings" which would allow me to use Atlas and other BLAS engines as a backend would be most useful. Having that interface would give me high performance linear algebra. From: http://mathema.tician.de "Boost Bindings is a bindings library (not just) for Boost.Ublas. It offers an easy way of calling BLAS, LAPACK, UMFPACK, MUMPS and many other mature legacy numerical codes from within C++." Code in the sandbox: https://svn.boost.org/svn/boost/sandbox/numeric_bindings/