It probably would be useful to have a linspace-ish interface for constructing FloatRanges: I wrote a quick one for KernelDensity.jl: https://github.com/JuliaStats/KernelDensity.jl/blob/master/src/univariate.jl#L60 but there's probably a better way to do this.
On Thursday, 24 April 2014 19:05:51 UTC+1, Hans W Borchers wrote: > > There is a strange difference in results between Matlab and Julia that > could be the reason why [0:pi/100:pi] ends up differently: > > matlab> x = ones(100, 1) * (pi/100); > matlab> sum(x) - pi > ans = > -4.4409e-15 > > > julia> x = ones(100)*(pi/100); > julia> sum(x) - pi > 1.3322676295501878e-15 > > > So it appears that summing pi/100 100-times is smaller than pi in Matlab > and larger than pi in Julia. > > > On Thursday, April 24, 2014 5:47:34 PM UTC+2, Stefan Karpinski wrote: >> >> On Thu, Apr 24, 2014 at 11:43 AM, andrew cooke <[email protected]> wrote: >> >>> >>> sorry, rational is a stupid suggestion for irrational numbers... >>> >>> what i am trying to say is that there is no perfect solution to this >>> problem (that i know of). if matlab works better then it is either luck or >>> because they are actually fudging things. fudging things is appealing but >>> usually bites you somewhere down the line. >>> >> >> This is exactly how I feel about it. I still think it may be possible to >> improve our FloatRange behavior even further, but I'd like to avoid >> "fudging it". >> >
