The performance of several approximate factorization methods, coupled with
a finite volume spatial discretization using Roe's approximate Riemann solv
er, are compared by means of numerical tests on a two-dimensional steady in
viscid Row past a blunt body at Mach numbers ranging from 5 to 20, The comp
arisons are carried out evaluating, by numerical experiments, the optimal C
ourant number of each method. The alternating direction implicit and the lo
wer-upper symmetric Gauss-Seidel methods result in the most efficient facto
rizations, in terms of CPU time. The former behaves smoothly with increasin
g Mach number, and its performance is not affected by the grid size, The la
tter may achieve higher efficiency but is strongly dependent on the number
of relaxation steps performed, requiring optimization in terms of Mach numb
er and grid size.