If you run out stack in Scheme the code is not properly tail recursive. Who
care when it blows?

On Thu, Dec 1, 2011 at 12:09 PM, john.holland <jbholl...@gmail.com> wrote:

> I was studying clojure for a while, and took a break to work on SICP in
> scheme. I found that they do numerous things that are against advice in
> Clojure having to do with the tail recursion.
> I got to thinking about that Clojure recur/loop stuff and wondered how you
> would do a quicksort with it. So I went to rosetta code and looked at what
> they had for scheme and for clojure.
>
>
> In scheme I can do a quicksort which makes two calls to itself and it can
> scale pretty high before running out of RAM.  I went up to 10000 sorting
> from worst (reversed) order to forward order. I do get
> stack overflows beyond that though.
>
> In clojure, the same algorithm produces the dreaded StackOverflow after
> 1000 values.
> I tried giving the JVM a gig of RAM, no help.
>
> Below are the (trvial) procedures.
>
> I understand that the advice in clojure is to use loop/recur etc, however,
> a big part of the charm for me of something like scheme is that I can write
> code that is a straightforward statement of a mathematical approach to the
> problem.
>
>
> Although quicksort is really simple, the idea of doing it with loop/recur
> baffles me.
>
> After a while with the scheme stuff clojure seems very complex and this,
> which seems like a fundamental issue, is not going well for it.
>
> Can anyone post a quicksort that doesn't give stack overflows in clojure?
>
> John
>
> ====scheme quicksort============================================
>
>  (define (quicksort l)
> (if (null? l)
>     '()
>     (append (quicksort (filter (lambda (x) (> (car l) x)) (cdr l)) )
>             (list (car l))
>             (quicksort (filter (lambda (x) (< (car l) x)) (cdr l)) ))))
>
> =================scheme utility to make data sets================
> (define (nums x) (if (< x 0) '() (cons x (nums (- x 1)))))
>
> ======================scheme call=================
> (quicksort  (nums 10000))
>
> ===============================clojure quicksort====================
>  (defn qsort [[pivot & xs]]
>   (when pivot
>  (let [smaller #(< % pivot)]
>  (lazy-cat (qsort (filter smaller xs))
>   [pivot]
>     (qsort (remove smaller xs))))))
>
> =================clojure utility to make data sets================
> (def nums (fn [lim] (loop [limx lim acc []] (if (< limx 0) acc (recur (-
> limx 1) (cons limx acc)) ))))
>
> ====clojure call==================================================
> (quicksort  (nums 10000))
>
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