Standard preconditioners, like incomplete factorizations, perform well when
the coefficient matrix is diagonally dominant, but often fail on general s
parse matrices. We experiment with nonsymmetric permutations and scalings a
imed at placing large entries on the diagonal in the context of preconditio
ning for general sparse matrices. The permutations and scalings are those d
eveloped by Olschowka and Neumaier [Linear Algebra Appl., 240 (1996), pp. 1
31-151] and by Duff and Koster [SIAM J. Matrix Anal. Appl., 20 (1999), pp.
889-901; Tech report Ral-Tr-99-030, Rutherford Appleton Laboratory, Chilton
, UK, 1999]. We target highly indefinite, nonsymmetric problems that cause
difficulties for preconditioned iterative solvers. Our numerical experiment
s indicate that the reliability and performance of preconditioned iterative
solvers are greatly enhanced by such preprocessing.