This is a little bit out-of-context, but could you qualify this a little bit more?
On Tuesday, February 17, 2015 at 5:07:03 PM UTC+1, Tim Holy wrote: > > This has nothing to do with isa. In julia, a scalar is different from a 1- > element array. Matlab doesn't make that distinction, because in Matlab > _everything_ is an array. Which is much of why Matlab is slow for many > things. > > Matlab has issues and one prominent thing is the copy on write or the general function call overhead (see recursive fib benchmark). That scalars as 1x1 matrices slows down the execution is new to me. In the same sense you could call julia slow because it focuses on scalars and creates (afaiu) unecessary copies of arrays in a += b, even it could modify a in-place.