We consider on reduction of computational cost for solving both real and complex linear systems. In general, the cost of complex operations needs several times larger than that of real operations. Therefore, we multiply the imaginary unit of i to the original linear systems. Through numerical experiments, we examine that the proposed technique of implementation is very effective in order to solve efficiently both real and complex linear systems.
