Re: [julia-users] Floating-point array types

[K Leo]

I remember somewhere it mentioned that there is a performance reason not 
to have things like Array{Float64} <: Array{FloatingPoint}.  Does this 
mean the parametric types (defined with T) are slower?

On 2014年11月30日 05:04, Andreas Noack wrote:
You are welcome. It is explained better than I'm able to do here 
http://julia.readthedocs.org/en/latest/manual/methods/#parametric-methods

2014-11-29 15:59 GMT-05:00 Petr Krysl <krysl.p...@gmail.com 
<mailto:krysl.p...@gmail.com>>:

    Thanks, I hear you guys.  These are the concepts, and Julia
    implements them: The two are concrete types, and hence cannot be
    derived from each other.

    But here it is: An array of floating-point numbers is an array of
    floating-point numbers.

    So how would you write the function so that it is Julia-style and
    works with any floating-point number?

    Thanks a lot,

    Petr