This paper shows how to exploit structural symmetry in determining the nonzero structures of
the lower and upper triangular factors L and U of an unsymmetric sparse matrix A. Two
symmetric reductions of the graphs of L and U are introduced and used to formulate
symbolic factorization algorithms. Experimental results demonstrate the effectiveness of
these algorithms versus other schemes in the literature.