Efficiently type alias Float128, Float64, and Float32

New to Julia
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2

Declare them as const, or pass them as arguments to your functions, which also makes the code much better because you don’t need two functions:

julia> init(n,T) = zeros(T,n,n)
init (generic function with 1 method)

julia> init(2,Float32)
2×2 Matrix{Float32}:
 0.0  0.0
 0.0  0.0

julia> init(2,Float64)
2×2 Matrix{Float64}:
 0.0  0.0
 0.0  0.0

It is more typical, though, that the types are derived from the type of input data being used, defined by some initial value somewhere else. For example, if you were to do a matrix-vector multiplication, where your vector is the input and the other is a random matrix of the same type, you could do:

julia> function f(x::AbstractVector)
           m = rand(eltype(x),length(x),length(x))
           return m*x
       end
f (generic function with 1 method)

julia> f(Float64[1.,2.,3.])
3-element Vector{Float64}:
 4.905931069551787
 3.091571412189738
 2.391551994266473

julia> f(Float32[1.,2.,3.])
3-element Vector{Float32}:
 3.374429
 3.7870452
 3.1641507
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