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JWE Project Ideas: Difference between revisions
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Octave currently skips structural zeros for most (all?) sparse matrix operations. Matlab returns a sparse matrix filled with NaNs for something like "sprand (5, 5, 0.1) .^ NaN". Should we go for full compatibility? Mathematical correctness? Traditional behavior of sparse matrix libraries? It seems no one really agrees on what is correct or best. Maybe compatibility should win? | Octave currently skips structural zeros for most (all?) sparse matrix operations. Matlab returns a sparse matrix filled with NaNs for something like "sprand (5, 5, 0.1) .^ NaN". Should we go for full compatibility? Mathematical correctness? Traditional behavior of sparse matrix libraries? It seems no one really agrees on what is correct or best. Maybe compatibility should win? | ||
==== Indexed assignment ==== | ==== Indexed assignment ==== | ||
In an assignment like Sparse_object(idx) = GrB_object(idx), Octave does not attempt to apply a conversion operator to transform the RHS type to the LHS type. Is this also a problem for assignments of objects with conversion operators to full matrix objects? | In an assignment like Sparse_object(idx) = GrB_object(idx), Octave does not attempt to apply a conversion operator to transform the RHS type to the LHS type. Is this also a problem for assignments of objects with conversion operators to full matrix objects? | ||
==== graph and digraph ==== | ==== graph and digraph ==== | ||