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We should think of a complete integration of SparseMatricesCOO. NLPModels could return sparse Jacobians and Hessians in COO format. Then we need to update methods to update the elements of those matrices. After that, I'm not sure if jprod!(nlp, rows, cols, vals, v, Jv), etc., still make much sense.
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