FF=: [`({.@[)`]}

Or something using multiple and add with some bit valued intermediate results.

Thanks,

-- 
Raul

On Mon, Jan 13, 2014 at 12:39 AM, km <k...@math.uh.edu> wrote:
> Here is a simpler question.  Is there a tacit version of ff below?
>
>    u =: 2 3 0
>    v =: i. 3 3
>    ff =: 4 : 'x ({. x)} y'
>    u ff v
> 0 1 2
> 3 4 5
> 2 3 0
>
> --Kip Murray
>
> Sent from my iPad
>
>> On Jan 12, 2014, at 10:41 PM, Raul Miller <rauldmil...@gmail.com> wrote:
>>
>> Sometimes it helps to inspect intermediate results. With recursion,
>> though, it can be a bit tricky for a casual observer to see the
>> intermediate results. With that in mind, here's what I am seeing for
>> your example:
>>
>> a1=: (calcU calcL) saveAA
>> a2=: (calcU calcL) a1
>> a3=: (calcU calcL) a2
>>
>> A4=: ((({.@[ ,: ]) ,&.:(|."1) a3"_) calcL) a2
>> A5=: ((({.@[ ,: ]) ,&.:(|."1) A4"_) calcL) a1
>> A6=: ((({.@[ ,: ]) ,&.:(|."1) A5"_) calcL) saveAA
>>
>> a1, a2 and a3  are progressively smaller square matrices (2x2, 1x1, 0x0)
>>
>> A4, A5 and A6 are progressively larger matrices which are twice as
>> tall as wide. If you could compute them in reverse order it might have
>> made sense to make it twice as wide as tall (with intermediate lu side
>> by side instead of interleave stacked)?
>>
>> A6 is the same as lumain saveAA
>>
>> I should go back and re-read km's implementation. But I will note that
>> you can cut code size slightly using some cross hooks:
>>
>>   lumain =: (((,:~ {.)~ ,&.:(|."1) $:@calcU) calcL)^:(*@#)
>>   lu =: [: (,:~ |:)/  1 0 2 |:  _2 ]\ lumain
>>
>> Anyways, I think your O(n^3) space is largely because all intermediate
>> values from what I have characterized as a (calcU calcL) hook are
>> "pre"-computed and placed on the stack before proceeding with further
>> computations.
>>
>> Thanks,
>>
>> --
>> Raul
>>
>>> On Sun, Jan 12, 2014 at 10:10 PM, Henry Rich <henryhr...@nc.rr.com> wrote:
>>>   calcL =: (% {.)@:({."1)
>>>   calcU =: (}.@[ - {.@[ *"1 0 ])&:(}."1)
>>>   lumain =: ((({.@[ ,: ]) ,&.:(|."1) $:@calcU) calcL)^:(*@#)
>>>   lu =: [: (|:@] ,: [)/  1 0 2 |:  _2 ]\ lumain
>>> NB. Half this code is handling joining ragged lists.
>>> NB. Is there a better way?
>>>
>>>   saveAA =: 3 3 $ 2 1 4 _4 _1 _11 2 4 _2
>>>   lu saveAA
>>>
>>> 1 0  0
>>> _2 1  0
>>> 1 3  1
>>>
>>> 2 1  4
>>> 0 1 _3
>>> 0 0  3
>>>
>>> I suspect that a vectorized explicit version is a better way to go. This
>>> version has memory requirements of O(n^3).
>>>
>>> Henry Rich
>>>
>>>
>>>> On 1/12/2014 9:00 PM, km wrote:
>>>>
>>>> Verb LU below produces the matrices L and U of the LU decomposition of a
>>>> square matrix A.  L is lower triangular, U is upper triangular, and A is L
>>>> +/ . * U .
>>>>
>>>> Should one attempt a tacit version?
>>>>
>>>> eye =: =@i.@]  NB. eye 3 is a 3 by 3 identity matrix
>>>>
>>>> rop =: 3 : 0  NB. row op: subtract c times row i0 from row i1
>>>> :
>>>> 'i1 c i0' =. x
>>>> ( (i1 { y) - c * i0 { y ) i1 } y
>>>> )
>>>>
>>>> LU =: 3 : 0  NB. square matrices L and U for y -: L +/ . * U
>>>>   m =. # y
>>>>   L =. eye(m)
>>>>   U =. y
>>>> for_j. i. <: m do.
>>>>   p =. (< j , j) { U
>>>>   for_i. j + >: i. <: m - j do.
>>>>      c =. p %~ (< i , j) { U
>>>>      L =. c (< i , j) } L
>>>>      U =. (i, c, j) rop U
>>>>   end.
>>>> end.
>>>>   L ,: U
>>>> )
>>>>
>>>>    saveAA
>>>>  2  1   4
>>>> _4 _1 _11
>>>>  2  4  _2
>>>>
>>>>    LU saveAA
>>>>  1 0  0
>>>> _2 1  0
>>>>  1 3  1
>>>>
>>>>  2 1  4
>>>>  0 1 _3
>>>>  0 0  3
>>>>
>>>>    saveAA -: +/ . */ LU saveAA
>>>> 1
>>>>
>>>> --Kip Murray
>>>>
>>>> Sent from my iPad
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