[scilab-Users] [SPAM] Four questions about Sparse matrix and qpsolve

[Adrien Vogt-Schilb]

and also, since det(V) = 0, can I use qp_solve, or should i use the 
quapro toolbox?

On 06/09/2011 00:10, Adrien Vogt-Schilb wrote:
>
> Hi everybody
>
> I have a 20k x 20k inferior triangular matrix, that I use in a QPsolve
>
> V = -2* TIS(n,n) + (n-1) * eye(n;n)
>
> This is V= [ (n-1) 0.....................0
>                    2     (n-1) 0..............0
>                     2      2    (n-1) 0......0
>                  ....
>                 ]
> -Is there any way to get a TI matrix from scilab, without using loops?
>
> I would like to use V as a "cost function" for qpsolve (minimize X'.V.X)
> -Is qpsolve smart enough to change the basis, or should i do it myself?
>
> -Should I use sparse matrices? Can I make a sparse trinagular matrix 
> quickly?
>
> Some student have implemented faster code for sparse matrices in 2004 
> (http://www.iecn.u-nancy.fr/~pincon/scilab/expose_taiwan.pdf).
> -Is this implemented in Scilab?
>
>
> -- 
>
> *Adrien Vogt-Schilb*
> Research Fellow
> vogt at centre-cired.fr
> Tel: (+33) 1 43 94 73 96
> Fax: (+33) 1 43 94 73 70
>
> CIRED
>
> 	
>
> 45 bis, Av de la Belle Gabrielle
> F-94736 Nogent-sur-Marne
> http://www.centre-cired.fr/
>


-- 

*Adrien Vogt-Schilb*
Research Fellow
vogt at centre-cired.fr
Tel: (+33) 1 43 94 73 96
Fax: (+33) 1 43 94 73 70

CIRED

	

45 bis, Av de la Belle Gabrielle
F-94736 Nogent-sur-Marne
http://www.centre-cired.fr/

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