Reference

cons_coord(nlp, x)

Computes the constraint vector and the Jacobian in coordinate format. Usage:

c, jrow, jcol, jval = cons_coord(nlp, x)

• nlp: [IN] CUTEstModel
• x: [IN] Vector{T}
• c: [OUT] Vector{T}
• jrow: [OUT] Vector{Cint}
• jcol: [OUT] Vector{Cint}
• jval: [OUT] Vector{T}

cons_coord!(nlp, x, c, rows, cols, vals)

Computes the constraint vector and the Jacobian in coordinate format. Usage:

cons_coord!(nlp, x, c, rows, cols, vals)

• nlp: [IN] CUTEstModel
• x: [IN] Vector{T}
• c: [OUT] Vector{T}
• jrow: [OUT] Vector{Cint}
• jcol: [OUT] Vector{Cint}
• jval: [OUT] Vector{T}

consjac(nlp, x)

Computes the constraint vector and the Jacobian in internal sparse format. Usage:

c, J = consjac(nlp, x)

• nlp: [IN] CUTEstModel
• x: [IN] Vector{T}
• c: [OUT] Vector{T}
• J: [OUT] Base.SparseMatrix.SparseMatrixCSC{T,Cint}