I would like to compute the eigenvector of a particular eigenvalue and
according to the docs, eigvecs is up for the job.
However, I get errors. The following call should give the same output as
eigvecs(A):
julia> A = rand(3,3)
3x3 Array{Float64,2}:
0.165111 0.995671 0.393572
0.496099 0.640361 0.595876
0.632881 0.3909 0.723987
julia> v = eigvals(A)
3-element Array{Float64,1}:
1.68982
-0.230301
0.0699443
julia> eigvecs(A, v)
ERROR: MethodError: `eigfact` has no method matching
eigfact(::Array{Float64,2}, ::Array{Float64,1})
Closest candidates are:
eigfact{T}(::Union{DenseArray{T,2},SubArray{T,2,A<:DenseArray{T,N},I<:Tuple{Vararg{Union{Colon,Int64,Range{Int64}}}},LD}})
eigfact{TA,TB}(::AbstractArray{TA,2}, ::AbstractArray{TB,2})
in eigvecs at linalg/eigen.jl:70
julia> eigvecs(A, v)
I have
julia> versioninfo()
Julia Version 0.4.0
Commit 0ff703b (2015-10-08 06:20 UTC)
Platform Info:
System: Darwin (x86_64-apple-darwin14.5.0)
CPU: Intel(R) Core(TM)2 Duo CPU P7350 @ 2.00GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Penryn)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.3
