I now get
*CHOLMOD warning: not positive definiteERROR: `-` has no method matching
-(::(Array{Complex{Float64},1},Array{Complex{Float64},2},Int64,Int64,Int64,Array{Complex{Float64},1}),
::Float64)*
I must probably mention that I generate my sparse matrix using this
constructor: *sparse(I,J,V)*, with
* I = Array(Int64,N) J = Array(Int64,N) V =
Array(Complex{Float64},N)*
On Thursday, April 9, 2015 at 7:53:32 PM UTC+2, Alex wrote:
>
> Try
>
> eigs(A, nev=1, which=:SM)
>
> You might want to look into the docs to see the other keywords, for
> example if you need the eigenvector(s) as well.
>
> Best,
>
> Alex.
>
> On Thursday, 9 April 2015 19:34:40 UTC+2, Andrei Berceanu wrote:
> > How can I get the minimum eigenvalue of a sparse matrix?
> > I found eigmin(A), but it only seems to work on dense matrices.
> > ERROR: `eigmin` has no method matching
> eigmin(::SparseMatrixCSC{Complex{Float64},Int64})
>
>
