You probably want a return or break statement in that second loop?

Thanks,

-- 
Raul



On Wed, Mar 5, 2014 at 7:13 PM, Roger Hui <rogerhui.can...@gmail.com> wrote:

> > it avoids any branching in the loop.  And no "comparisons".
>
>     I1 b[M];
>     memset(b,0x00,sizeof(b));
>     for(i=0;i<n;++i)b[*x++]=1;
>     for(i=0;i<M;++i)if(b[i])min=i;
>
> Well, there is branching and there is comparison, but it's in the M loop
> rather than the n loop.  M is small and fixed (65536 for 2-bytes) whereas n
> can be millions, billions.  The J models are:
>
>     1 i.~ 1 x}M$0  NB. minimum
>     1 i:~ 1 x}M$0  NB. maximum
>
>
>
>
>
> On Wed, Mar 5, 2014 at 4:05 PM, Roger Hui <rogerhui.can...@gmail.com>
> wrote:
>
> > Zehr gut.  It's not just that it's O(n) (the conventional
> if(min>*x)min=*x
> > is also O(n)) but it avoids any branching in the loop.  And no
> > "comparisons".
> >
> > Bonus question:  Suppose M is really large and the cost of setting count
> > to 0 is prohibitive.  How can you avoid that cost?  (Not saying it's
> > related to finding the min or the max).
> >
> >
> >
> >
> > On Wed, Mar 5, 2014 at 3:27 PM, Peter B. Kessler <
> > peter.b.kess...@oracle.com> wrote:
> >
> >> For the minimum in a small universe, use your "broken" sorting code (:-)
> >>
> >>
> >>     I4 count[M];
> >>     memset(count,0x00,sizeof(count));
> >>     for(i=0;i<n;++i)count[*x++]=1;
> >>
> >> (O(n)) and then look for the first (lowest) 1 in count (also O(n)).
> >>
> >>                         ... peter
> >>
> >>
> >> On 03/05/14 14:19, Roger Hui wrote:
> >>
> >>> Good answers.  For /:~x vs. g{x, the explanations are:
> >>>
> >>>     - Indexing must check for index error.  Sorting does not.
> >>>     - Indexing uses random read access over a large chunk of memory
> (i.e.
> >>>
> >>>     x).  Sort does not.
> >>>
> >>> A more detailed explanation:  To sort over a small known universe (and
> >>> characters definitely qualify), you basically compute #/.~x (the
> ordering
> >>> is wrong, but you get the idea).  In C:
> >>>
> >>> I4 count[M];
> >>> memset(count,0x00,sizeof(count));
> >>> for(i=0;i<n;++i)count[*x++]=1;
> >>>
> >>>
> >>> This is lightning fast on modern CPUs: sequential read access and no
> >>> branch
> >>> prediction fails.  (And the ordering is correct.)  Once having the
> >>> counts,
> >>> as Henry said, you can do count#a. or in C:
> >>>
> >>> for(i=0;i<M;++i){m=count[j]; for(j=0;j<m;++j)*z++=i;}
> >>>
> >>>
> >>> Also lightning fast with very localized reads.
> >>>
> >>> It's ironic that in school sorting is an application with heavy
> emphasis
> >>> on
> >>> comparisons, counting # of comparisons, etc.  In the method above,
> there
> >>> is
> >>> not a single comparison involving x.  I once told someone that I can
> sort
> >>> 4-byte integers and 8-byte IEEE floats in linear time.  He looked at me
> >>> like I was crazy, presumably remembering from school that sorting was
> >>> PROVEN to take n log n comparisons.
> >>>
> >>> As for why sorting is faster than grading, see
> >>> http://www.jsoftware.com/jwiki/Essays/Sorting_versus_Grading
> >>>
> >>> Now, for those of you who know C (or other scalar language), is there a
> >>> faster way to find the minimum of a vector of small integers x (2-byte
> >>> integers, say) than the following:
> >>>
> >>> min=-32768;
> >>> for(i=0;i<n;++i){if(min>*x)min=*x; ++x;}
> >>>
> >>>
> >>> I know an alternative which is 70% faster.  No fancy SSE instructions.
> >>>  No
> >>> multicore.  No loop unrolling.
> >>> ----------------------------------------------------------------------
> >>> For information about J forums see http://www.jsoftware.com/forums.htm
> >>>
> >>>  ----------------------------------------------------------------------
> >> For information about J forums see http://www.jsoftware.com/forums.htm
> >>
> >
> >
> ----------------------------------------------------------------------
> For information about J forums see http://www.jsoftware.com/forums.htm
>
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