Nice post, this is definitely important material to know for technical 
computing.

I feel so sad when I think about the amount of time spent when people that 
do not know this material try to write iterative solvers for complicated 
problems. 

Ivar

kl. 02:52:43 UTC+1 søndag 23. februar 2014 skrev Jason Merrill følgende:
>
> I'm working on a series of blog posts that highlight some basic aspects of 
> floating point arithmetic with examples in Julia. The first one, on 
> bisecting floating point numbers, is available at
>
>   http://squishythinking.com/2014/02/22/bisecting-floats/
>
> The intended audience is basically a version of me several years ago, 
> early in physics grad. school. I wrote a fair amount of basic numerical 
> code then, both for problem sets and for research, but no one ever sat me 
> down and explained the nuts and bolts of how computers represent numbers. I 
> thought that floating point numbers were basically rounded off real numbers 
> that didn't quite work right all the time, but were usually fine.
>
> In the intervening years, I've had the chance to work on a few algorithms 
> that leverage the detailed structure of floats, and I'd like to share some 
> of the lessons I picked up along the way, in case there's anyone else 
> reading who is now where I was then.
>
> Some of the material is drawn from a talk I gave at the Bay Area Julia 
> Users meetup in January, on the motivations behind PowerSeries.jl
>

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