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}) > >