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julia> A = sprandn(2, 10, 0.4); julia> constraints_list(Zonotope(rand(2), view(A, :, :))) ERROR: MethodError: no method matching svdvals!(::SparseMatrixCSC{Float64,Int64}) Closest candidates are:
The text was updated successfully, but these errors were encountered:
LinearAlgebra.rank(M::SubArray{N, 2, <:SparseMatrixCSC}) where {N} = rank(qr(M))
does not fix the problem:
ERROR: MethodError: no method matching qr!(::SparseMatrixCSC{Float64,Int64})
By converting the matrix, we could do:
LinearAlgebra.rank(M::SubArray{N, 2, <:SparseMatrixCSC}) where {N} = rank(sparse(M))
Sorry, something went wrong.
#1497 - Define rank for sparse Submatrix (#1498)
5535df6
* define rank for sparse submatrix * unit test for rank
schillic
Successfully merging a pull request may close this issue.
The text was updated successfully, but these errors were encountered: