A new class of approximate inverse arrow-type matrix techniques based on th
e concept of sparse approximate LU-type factorization procedures is introdu
ced for computing explicitly approximate inverses without inverting the dec
omposition factors. Isomorphic methods in conjunction with explicit precond
itioned schemes based on approximate inverse matrix techniques are presente
d for the efficient solution of arrow-type linear systems. Applications of
the proposed method on linear systems is discussed and numerical results ar
e given.