Re: [eigen] HELP : SVD too slow

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The maximum dimension is 8 x 6, if bordered matrix approach can improve speed, I am very much interested

On Fri, Jun 29, 2012 at 1:55 PM, Helmut Jarausch <jarausch@xxxxxxxxxxxxxxxxxxx> wrote:
On 06/29/2012 10:21:25 AM, Gaurav Gupta wrote:
I opted for eigen3 to improve speed of my program than on MATLAB, but it is
taking more time than MATLAB.
I am using JacobiSVD for calculating nullspace, which is taking most of the
time, any suggestions for improving speed,
or any way to implement SVD faster.

What dimension will the nullspace have?

If not too large you could consider using a bordered matrix approach.
If you're interested I'll be happy to give to some references an even a Scilab implementation
of this.


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