Matrix op problem

[IainNZ]

julia> using JuMP

julia> m=Model()
Feasibility problem with:
 * 0 linear constraints
 * 0 variables
Solver set to Default

julia> @defVar(m, X[1:3,1:3])
3x3 Array{JuMP.Variable,2}:
 X[1,1]  X[1,2]  X[1,3]
 X[2,1]  X[2,2]  X[2,3]
 X[3,1]  X[3,2]  X[3,3]

julia> X.*X
ERROR: MethodError: `convert` has no method matching convert(::Type{JuMP.Variable}, ::JuMP.GenericQuadExpr{Float64,JuMP.Variable})
This may have arisen from a call to the constructor JuMP.Variable(...),
since type constructors fall back to convert methods.
Closest candidates are:
  JuMP.Variable(::Any, ::Any)
  call{T}(::Type{T}, ::Any)
  convert{T}(::Type{T}, ::T)
  ...
 in _F_ at broadcast.jl:97
 in broadcast! at broadcast.jl:228
 in .* at sparse/sparsematrix.jl:906

[IainNZ]

JuliaLang/julia#12894