Boost::uBLAS vs Eigen

Question

I am used to Eigen for almost all my mathematical linear algebra work. Recently, I have discovered that Boost also provides a C++ template class library that provides Basic Line

Answer 1

I just did a time complexity comparison between boost and eigen for fairly trivial matrix computations. These results, limited as they are, seem to denote that boost is a much better alternative. I had an FEM code which does the pre-processing parts (setting up the element matrices and stitching them together). So naturally, this would involve a lot of memory allocations.

I wrote identical pieces of codes with Boost and Eigen on C++ (gcc 5.4.0, ubuntu 16.04, Intel i3 Quad Core, 2.40GHz, RAM : 4Gb) and ran them separately for varying node sizes (N) and calculated time using the linux cl-utility. As far as I'm concerned, I have decided to proceed with my code in Boost.