I encourage you to persist in this effort.  J is suitable
for testing sorting ideas, for the same reasons that
it is suited for testing other programming ideas:
interactive environment, conciseness, expressiveness,
etc.  One of the first uses of APL (the predecessor of J) 
was in sorting; see Chapter 6 of Ken Iverson's 
"A Programming Language".
http://www.jsoftware.com/jwiki/Doc/A_Programming_Language

There are a few existing essays on sorting:
http://www.jsoftware.com/jwiki/Essays/Quicksort
http://www.jsoftware.com/jwiki/Essays/Sorting_versus_Grading
http://www.jsoftware.com/jwiki/Essays/Order_Statistics

You do have to be careful when you are comparing times.
Two algorithms may be the same order but the fact
may be obscured by the large constants involved.



----- Original Message -----
From: Yuvaraj Athur Raghuvir <[email protected]>
Date: Thursday, April 9, 2009 8:54
Subject: Re: [Jprogramming] Efficient Quick Sort?
To: Programming forum <[email protected]>

> Hello,
> 
> Maybe I should add some more context on why I am doing this - I am
> (re-)reading up on algorithms and thought I shall use J to 
> experiment. Am I
> doing the right thing by choosing J to implement and test these 
> rather low
> level algorithms? Maybe for full control on memory and accesses, 
> I should
> choose C++ instead.
> Comments?
> 
> Regards,
> Yuva
> 
> p.s: Not sure if this is programming or chat. For now I am 
> continuing this
> thread.
> 
> On Tue, Apr 7, 2009 at 12:25 PM, Yuvaraj Athur Raghuvir <
> [email protected]> wrote:
> 
> > Hello,
> >
> > Inspired by the quicksort defined at
> > http://jsoftware.com/help/dictionary/d212.htm as:
> > quicksortr=: (($:@(<#[) , (=#[) , $:@(>#[)) ({~ ?...@#)) ^: 
> (1<#) NB. random
> > pivot
> >
> > I wrote a selection sort as so:
> > selectsort =: ((<./),$:@(]-. <./))^: (1<#)
> >
> > Yes, I know that grade(/:)  is the J way of doing 
> sorting. I am just trying
> > this out.
> >
> > To eliminate the random pivot selection, I did the following:
> > quicksort=: (($:@(<#[) , (=#[) , $:@(>#[)) (0{])) ^: (1<#)
> >
> >
> > To test, I created these simple verbs:
> > cmd =: 'ts ''n1=.selectsort a''';'ts ''n0=.(/:a){a''';'a =. 
> (10 ? 10) { 22+
> > i. 10'
> > cmd =: ('ts ''n3=.quicksort a''';'ts ''n2=.quicksortr a'''),cmd
> > cmd =: ('n3-:n2';'n2-:n1';'n1-:n0'),cmd
> >
> > test=: 4 : ',. > ". L:0 (x # ,. <y)' NB. Am I doing too 
> much work here?
> >
> >     b =.100000 test cmd
> >    (+/ % #) ;"1 (3 4 5 6 {"1  b)
> > 3.01884e_5 3590.4 3.35261e_5 3589.82 2.14828e_5 4744.79 
> 6.48059e_6 1384.96
> >
> > The data shows that quicksort is faster than quicksortr but is 
> slower than
> > the selectsort on the average.
> >
> > This is expected since the quicksort does a full scan to 
> choose the items
> > lesser/greater than the pivot element.
> >
> > Is it possible to implement a quicksort faster than the 
> selection sort that
> > is proposed here?
> >
> > Regards,
> > Yuva
> >
> > p.s: Interestingly, I see that irrespective of the number of 
> trials, I
> > loose the first three match results. So, I have
> >    +/;3&{."1 b
> > 299997
> >    +/;3&{."1 (100 test cmd)
> > 297
> >    +/;3&{."1 (10 test cmd)
> > 27
> >
> > What could be wrong?
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