Le jeudi 24 septembre 2015 à 13:31 -0700, Marcio Sales a écrit : > > Matlab *requires* vectorized code because Matlab loops are very > > slow by comparison > It is much faster these days (from R2014). I remember I ran some very > simple comparisons and it surprised me that Matlab ran a bit faster > than Julia in a for loop of matrices multiplications and inversions. > However, I ran the loop from the REPL and maybe there are better ways > to do it. Not "maybe". This is highlighted as the first point of the Performance Tips section of the manual: http://docs.julialang.org/en/latest/manual/performance-tips/
It's not fair to expect a language to be an in-place replacement for another one and yet provide higher performance for free. Any language requires some experience to get productive at coding. Vectorized languages like MATLAB and R maybe even more than others. I feel like this thread has come to a dead end. Regards
