@Crivelli You can a packaged form of these types of algorithms (like Jacobi iteration) at IterativeSolvers.jl
Thanks for these teaching materials in Julia. They look great! On Tuesday, June 21, 2016 at 1:46:58 PM UTC+1, Dawid Crivelli wrote: > > Thanks for the notes, they look interesting. > > The Jacobi algorithm coded in Julia by someone competent is also very > welcome - I heard it's perfect for tracking the evolution of eigenvalues > when a matrix is continuously transformed, but I was too lazy to implement > it myself! Probably a dedicated package might be useful to more people. > > >> The lecture notes are all Jupyter notebooks, see >> https://github.com/ivanslapnicar/GIAN-Applied-NLA-Course >> >> Any feedback is welcome! >> >
