I don’t find PDL’s matrix handling to be screwy.  There’s a necessary wart 
between column-major addressing and row-major addressing, sure — but that’s 
endemic to all languages.  The question is whether you want matrices to 
_naturally_render_ the way they would appear in mathematical notation, or 
whether you want them to _naturally index_ the way they would appear in 
mathematical notation.   Some languages (e.g., IDL) chose the latter; others 
(e.g., PDL) chose the former.  You can’t have both without breaking the way 
arrays are rendered on-screen (so that, e.g., “$a = pdl(1,2,3)” would render as 
a column vector, taking 5 lines of text.

As it stands now, “print ($vec=pdl([1,5]))” yields “[1 5]”, which is nice for 
more general contexts than just matrix operations.  Also, “print 
($m=pdl([1,1],[0,1])” yields
    [
     [1 1]
     [0 1]
    ]
which is also nice: items are rendered in the most natural way.  That choice 
forces row-major ordering, which is the opposite of the convention the 
mathematics community chose.  (Can’t blame ‘em — even Ben Franklin screwed up 
the sign convention for electric charge…)  The wart is that, if you want to hit 
a column vector with $m, you have to say “$m_vec = $m x ($vec->(*1))” to 
explicitly make $vec a column vector — the 0 dim works along a row, not a 
column.  

I don’t see a clean way around the dichotomy between natural array rendering 
and use (which is row-major) and matrix notation (which is column-major).  A 
transpose has to happen somewhere — either in the way arrays are rendered 
(column-major specification, which makes matrices work great but screws up 
other applications) or in the way that they are created (row-major 
specification, which makes column vectors more cumbersome to use but makes 
other applications more convenient).

Sorry if this rambles, I wrote this before dashing off to a meeting.

Best,
Craig



> On Jun 4, 2017, at 3:36 PM, Chris Marshall <[email protected]> wrote:
> 
> But...
> 
> If you look at the dimension ordering in slicing
> where dim(0) is the left-most index, then PDL is
> actually using the same memory ordering as with
> fortan: dim0 iterates first, then dim1 increases, 
> then dim2....
> 
> In fact sequence(3,4) is in memory in this
> order: (0,0), (1,0), (2,0), (0,1), (1,1), (2,1),
> (0,2), (1,2), (2,2), (0,3), (1,3), (2,3) which
> is exactly the memory order of a(3,4) in fortran.
> 
> It seems the issue is that *displaying* the
> data uses C ordering.  If we were to display
> the data as if transposed, then PDL would seem
> to me to be a column major storage system.
> 
> I wonder what would happen if matrix operations
> used the natural dimension order rather than
> the imposed C ordering?  It would get rid of
> all the nasty transposes in the matrix multiplication
> and things the tensor sums would compose naturally.
> 
> Am I the only one who thinks PDL for matrix ops is
> a bit screwy---but for no good reason?
> 
> --Chris
> 
> On 6/4/2017 16:27, Grégory Vanuxem wrote:
>> Hi here,
>>  
>> https://docs.oracle.com/cd/E19957-01/805-4940/z400091044d0/index.html 
>> <https://docs.oracle.com/cd/E19957-01/805-4940/z400091044d0/index.html>
>>  
>> Just for information.
>>  
>> Now, an other thing to know.
>> Imagine I have a 2x2 matrix.
>>  
>> If I write in the computer memory 4 integer’s (1-2-3-4) in one time, in C 
>> this will be in matrix representation :
>>  
>> 1  2
>> 3  4
>>  
>> But in Fortran, like in mathematics :
>>  
>> 1  3
>> 2  4
>>  
>> So operations on these two representations are completely differents.
>>  
>> Generaly computations on matrices are done on a very low level and use 
>> directly the memory areas (no aware of indexing scheme).
>>  
>> Hope that helps
>> __
>> Greg
>>  
>> De : Luis Mochan <mailto:[email protected]>
>> Envoyé le :jeudi 1 juin 2017 20:06
>> À : [email protected] 
>> <mailto:[email protected]>
>> Objet :Re: [Pdl-general] SVD
>>  
>> Still confusing:
>> On Wed, May 31, 2017 at 03:36:33PM +1000, Karl Glazebrook wrote:
>> > column-major all the way down, as image processing came before matrix ops 
>> > and i in A(i,j) is naturally the x-axis.
>> but the x axis displays horizontally, as row, and when matrices are
>> multiplied i is interpreted as column index, i.e., as index along row.  
>> > i.e. A[0,1] is followed by A[1,0] in memory
>> You mean A[0,0] is followed by A[1,0] in memory, right?
>> So memory is arranged as in fortran arrays (first index fastest), but
>> the interpretation as row and column indices is different.
>> Regards,
>> Luis
>>  
>>  
>>  
>> >
>> >
>> > Karl
>> >
>> >
>> >
>> > > On 22 May 2017, at 6:32 am, Chris Marshall <[email protected]> 
>> > > <mailto:[email protected]> wrote:
>> > >
>> > > Please ignore the following.  Just mark me confused...
>> > >
>> > > --Chris
>> > >
>> > > On 5/21/2017 15:51, Chris Marshall wrote:
>> > >> The row-major and col-major for PDL has always
>> > >> confused me since, AFAICT the PDL dimensions and
>> > >> slicing syntax actually are column major in
>> > >> memory but we print them out in row-major.
>> > >>
>> > >> Maybe one of the original PDL developers could
>> > >> give an explanation (of the history at least!).
>> > >>
>> > >
>> > >
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