Hi Yunlei,
Is your problem constrained or not?
If it is unconstrained and your matrix is not positive definite, the minimum is
unbounded (unless you are extremely lucky and the matrix is positive
semi-definite and the vector which multiplies the unknowns is exactly
perpendicular to all the eigenvectors with 0 eigenvalues).
If the problem is constrained you may use regular optimization functions (like
optim).
Regards,
Moshe.
--- On Tue, 22/7/08, Yunlei.Hu at barclayscapital.com <Yunlei.Hu at
barclayscapital.com> wrote:
> From: Yunlei.Hu at barclayscapital.com <Yunlei.Hu at
barclayscapital.com>
> Subject: [R] Urgent
> To: r-help at r-project.org
> Received: Tuesday, 22 July, 2008, 6:12 PM
> Hi everyone
>
> I try to use the solve.QP to solve the quadratic
> programming problem.
> But the Dmat in the funciotn is non-positive definite.
>
> Can anyone tell me which R function can deal with the
> quadratic
> programming with non positive definite Dmat matrix ( in
> solve.QP)
>
> I really appreaciated.
>
> Yunlei Hu
>
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