Re: [Help-glpk] glpk and R (using SWIG)

[glpk xypron]

Hello Nigel,

the proposed iajaar.h looks promising.

Unfortunately the referenced download site
http://www.geocities.com/nigel_galloway/IAJAAR.zip
no longer exists.

Is there an alternative site?

> Do you rely on Java's garbage collector to dispose of these or do
> you call glpk's delete function (glp_delete_prob)?
Glp_delete_prob() only deletes objecst created by GLPK. GLPK-Java
relies on garbage collection for other objects like instances
of SWIGTYPE_p_double.

Best regards

Xypron

-------- Original-Nachricht --------
> Datum: Thu, 17 Jun 2010 15:56:56 +0100
> Betreff: Re: [Help-glpk] glpk and R (using SWIG)

> 
> I assume you are creating objects in GLPK, like say a constraint matrix.
> Do you rely on Java's garbage collector to dispose of these or do you call
> glpk's delete function (glp_delete_prob)? I do the latter. I don't recall
> ever noticing R's garbage collector.
> 
> So don't use carrays. I use iajaar or sparse matrix from coin. See:
> http://www.mail-archive.com/address@hidden/msg02581.html
> 
> I always think that writing ia[x] = etc; ja[x] = etc; ar[x] = etc; is
> tedious. GLPK should have an add triplet function. Until then use iajaar.
> 
> > ----- Original Message -----
> > From: Xypron <address@hidden>
> > To: Nigel Galloway <address@hidden>
> > Cc: "Eagle, Ken" <address@hidden>, address@hidden
> > Subject: Re: [Help-glpk] glpk and R (using SWIG)
> > Date: Wed, 16 Jun 2010 00:36:54 +0200
> > 
> > 
> > Hello Nigel,
> > 
> > the SWIG documentation on
> > http://www.swig.org/Doc1.3/R.html
> > says:
> > 
> > Currently the following features are not implemented or broken:
> > * Garbage collection of created objects
> > * C Array wrappings
> > 
> > Some sort of array wrapping is needed for using GLPK.
> > 
> > Best regards
> > 
> > Xypron
> > 
> > Nigel Galloway wrote:
> > > The benefits (and drawbacks of SWIG) have been widely discussed. 
> > > Using the swig interface files discussed it is possible to 
> > > produce wrappers for all glpk api in R, and add a few usful 
> > > features.
> > >
> 
> >
> 
> 
> -- 
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