Lianqing,
I think what you described is what I have in mind. The natural place for
the routine is inside vnl_sparse_symmetric_matrix, possibly as an overloaded
CalculateNPairs method.
We could use Strategy presumably, though currently the class doesn't hide
the interface to dnlaso for the special case.
What sort of collaboration do you propose?
Mike B.
Original Message
From: Lianqing [mailto:yulq@...]
Sent: Thursday, October 07, 2010 12:55 PM
To: Michael Bowers
Subject: Re: [Vxlmaintainers] generalized sparse symmetric eigensystem
?Michael,
Thanks for your reply. Why not to be aggressive and post a proposal to the
VXL maintainers list to start a collaboration on a generalized
implementation of vnl_sparse_symmetric_eigensystem? I am sure lots of people
need this feature very much. The choice of thirdparty code should not be an
issue as strategy pattern can be used to replace one with another. I'm
interested in this effort and would like to be involved.
Lianqing

From: "Michael Bowers" <mbowers@...>
Sent: Thursday, October 07, 2010 2:13 AM
To: "'YuLianqing'" <yulq@...>
Subject: RE: [Vxlmaintainers] generalized sparse symmetric eigensystem
>
> Lianqing,
>
> The vnl_sparse_symmetric_eigensystem class solves the special case of the
> eigenproblem
>
> A * x = lambda * x
>
> For processing I am building I need to solve the general case of the
> problem
>
> A * x = lambda * B * x
>
> The netlib code used by vnl_sparse_symmetric_eigensystem is from the LASO
> library, which doesn't solve the general case of the problem. ARPACK
> provides a solution that is robust (MATLAB uses it).
>
> Let me know what you think please.
>
> Thanks,
>
> Michael
>
>
>
> Original Message
> From: YuLianqing [mailto:yulq@...]
> Sent: Wednesday, October 06, 2010 1:15 PM
> To: mbowers@...
> Subject: RE: [Vxlmaintainers] generalized sparse symmetric eigensystem
>
>
>
> Hi, Michael,
>
> I notice that there is already a class named
> vnl_sparse_symmetric_eigensystem in vnl_algo and used this class. Does it
> meet your need? If not, could you tell me what's the limitation of this
> class or what's your particular requirement?
>
> Lianqing Yu
>
> 
>> Date: Tue, 5 Oct 2010 21:01:59 +0100
>> From: peter_vanroose@...
>> To: mbowers@...
>> CC: vxlmaintainers@...
>> Subject: Re: [Vxlmaintainers] generalized sparse symmetric eigensystem
>>
>> Michael,
>>
>> As to your questions:
>> 1) In the past, we have just added the needed routines to netlib :
>> an as minimal set as possible.
>> 2) The Fortran source programs (also stored in v3p/netlib) have been
>> "manually" converted from the .f by using f2c, in a threadsafe
>> manner. Sources have been modified to use the v3p_*.h headers.
>> Types and function names are prefixed with v3p_netlib_ .
>> See v3p/netlib/README for the detailed procedure to follow.
>> This setup documentation was written by Brad King
>> (brad.king@...),
> so please contact him for any further details regarding the conversion
> etc.
>>
>> For the step towards vnl_algo (and C++), I'd say; design a "good"
> userfriendly interface, implementing the methods in a way similar to what
> was done for the other similar vnl_algo classes.
>>
>> As far as licenses are concerned: I suppose that a BSDstyle license is
> certainly compatible with the vxl license (and its usage); but some people
> on the vxl maintainers list can be more specific on this.
>>
>>  Peter.
>>
>>
>> Michael Bowers wrote:
>>> My name is Michael Bowers and I am at Johns Hopkins's
>>> Center for Imaging Science. I've been using vxl for about
>>> 5 years now on its own and via the Insight Tool Kit.
>>> Vxl is sufficient for most of what I do and of course
>>> it's a great package.
>>>
>>> I need a generalized sparse symmetric eigensystem
>>> class. Are there plans to add one to vnl_algo in
>>> the near future? Do you think it would be a great
>>> deal of work? If there aren't resources there to
>>> do it I might be able to contribute one with a little
>>> guidance.
>>> [...]
>>> 1) ARPACK  http://www.caam.rice.edu/software/ARPACK/.
>>> ARPACK software is capable of solving large scale symmetric,
>>> nonsymmetric, and generalized eigenproblems from significant
>>> application areas.
>>> It has a C++ interface called ARPACK++. I've used ARPACK++,
>>> but it includes a lot of dependencies.
>>>
>>> 2) Lanz  Order code that solves the large, sparse,
>>> symmetric generalized eigenproblem.
>>>
>>> 3) Lanczos  Linear algebra routines with a nonGPL,
>>> nonBSD type license.
>>>
>>> What is the general approach when adding netlib code?
>>>
>>> 1) Is the whole library generally added, or just the
>>> routines necessary?
>>> 2) Is the code converted from FORTRAN to c by hand?
>>>
>>> I'd like to add the sparse, generalized, eigenproblem to
>>> vnl_algo. I'd appreciate any thoughts/guidance on the
>>> process you have for me.
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>

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>
>
>
