use_sparse_jacobians [ad]
— Loadable Function: val = use_sparse_jacobians ()
— Loadable Function: val = use_sparse_jacobians (new_val)

Query or set the storage mode for AD. If nonzero, gradients will try to store partial derivatives as a sparse matrix