Re: [eigen] Eigen2 in Avogadro

[jacob@xxxxxxxxxxxxxxx]

Quoting Gael Guennebaud <gael.guennebaud@xxxxxxxxx>:

> On Tue, Aug 26, 2008 at 11:35 AM, Daniel Gómez <dgomezferro@xxxxxxxxx> wrote:
> > They also use some wrapper classes around std::vector and plain C arrays
> > (gmm::array1D_reference for instance). Should these be made VectorXd ?
>
> if the purpose is to warp std::vectors, then I would say:
> Map<VectorXd>(&v[0], v.size())

Little explanation: the solution proposed by Gael is if you want to  
keep std::vector for storage, but use Eigen do the computations.  
Eigen::Map<VectorXd> takes a memory area and makes a Eigen expression  
that behaves exactly like a VectorXd, wrapping around this memory area  
as the array of coefficients.

But, in many cases (don't know if it's the case for Step) people  
indeed use std::vector<double> when they could really use VectorXd. In  
this case, it's just easier to completely convert to VectorXd, it  
spares the hassle of using Eigen::Map's.

That needs to be seen with Vladimir and Aliona.

> > I hope you'll be around to answer questions, otherwise I'll be stuck
> > forever :P
>
> yes, sure no problem !

Me too: no problem! Just because I don't have time to develop new  
features doesn't mean I don't have time to answer questions.

Benoit

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