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I am not sure wether this is a LLSModels issue or SparseMatricesCOO issue.
using SparseArrays using LLSModels # 0.3.2 A = sparse(Matrix(1.0I, 3, 3)) b = ones(3) LLSModel(A, b)
returns
ERROR: MethodError: no method matching SparseMatricesCOO.SparseMatrixCOO(::Int64, ::Int64, ::Vector{Int64}, ::Vector{Int64}, ::Matrix{Float64}) Closest candidates are: SparseMatricesCOO.SparseMatrixCOO(::Integer, ::Integer, ::Vector, ::Vector, ::Vector) at .julia\packages\SparseMatricesCOO\z5uST\src\coo_types.jl:51 Stacktrace: [1] LLSModel(A::SparseMatrixCSC{Float64, Int64}, b::Vector{Float64}) @ LLSModels .julia\packages\LLSModels\yz8jF\src\lls_model.jl:34 [2] top-level scope @ REPL[31]:1
The text was updated successfully, but these errors were encountered:
Merge pull request #70 from tmigot/typed-meta-tol
403ade7
Convert to toltype in meta
fixes JuliaSmoothOptimizers#30
80656bc
49b205e
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I am not sure wether this is a LLSModels issue or SparseMatricesCOO issue.
returns
The text was updated successfully, but these errors were encountered: