[Haskell-beginners] tutorials on space complexity?

[Dimitri DeFigueiredo]

Thanks Bob.

Following your previous comment on this list, I read chapter 2 and 
really liked it, but I feel it was only scratching the surface. The 
example bug of implementing 'sum' using 'foldl' was insightful, but I'm 
sure 'foldl (+)' is not the only circumstance where laziness builds up 
large data structures unnecessarily and I'm afraid of recursion now.
Are there more insights peppered throughout the book? Or other good 
pointers you know?

Thanks again!

Dimitri


Em 09/06/14 23:21, Bob Ippolito escreveu:
> I found the beginning of Parallel and Concurrent Programming in 
> Haskell particularly enlightening:
> http://chimera.labs.oreilly.com/books/1230000000929/ch02.html#sec_par-eval-whnf
>
> After reading that, Haskell's evaluation strategy finally clicked for 
> me. Now I can much more easily spot and fix these sorts of errors 
> before even running them for the most part.
>
>
> On Mon, Jun 9, 2014 at 10:01 PM, Dimitri DeFigueiredo 
> <defigueiredo at ucdavis.edu <mailto:defigueiredo at ucdavis.edu>> wrote:
>
>     Are there any good tutorials on understanding space complexity for
>     haskell programs?
>
>     My current approach of "waiting for it to crash" by being out of
>     memory, doesn't really seem like good engineering practice.
>     However, I have not found a source that gives me any proactive
>     insight into what should be avoided. Most of what I have read only
>     helps to solve the problem "after the fact". How do we design
>     programs that avoid those problems from the beginning? Any pointers?
>
>     Thanks,
>
>     Dimitri
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