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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] sparse colwise
- From: Sameer Agarwal <sameeragarwal@xxxxxxxxxx>
- Date: Fri, 25 Jun 2010 08:54:08 -0700
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I was hoping to avoid the multiplication.
Sameer
On Fri, Jun 25, 2010 at 8:41 AM, Gael Guennebaud
<gael.guennebaud@xxxxxxxxx> wrote:
> Hi,
>
> it's not a bug, but a lack of features.The sparse module does not
> support the full dense API. Column-wise and row-wise operations do not
> seem to be of high priority, but I agree that can be convenient.
>
> Note that you can still do:
>
> RowVectorXd::Ones(5) * m2
>
> Hopefully, the compiler should be smart enough to remove the products
> by 1 (well, maybe it is not allowed to do so by default....)
>
> gael
>
> On Fri, Jun 25, 2010 at 5:14 PM, Sameer Agarwal
> <sameeragarwal@xxxxxxxxxx> wrote:
>> Hi Guys,
>>
>> On the development branch,
>>
>> #include "Eigen/Core"
>> #include "Eigen/Sparse"
>>
>> using namespace Eigen;
>> int main() {
>> Matrix<double, Dynamic, Dynamic, ColMajor> m1(5,5);
>> SparseMatrix<double, ColMajor> m2(5,5);
>> m1.colwise().sum();
>> m2.colwise().sum() // Fails to compile
>> }
>>
>> fails to compile with
>>
>> 'class Eigen::SparseMatrix<double, 0, int>' has no member named 'colwise'
>>
>> am I missing something here?
>> Sameer
>>
>>
>>
>
>
>