抄録
A hybrid algorithm for lattice fermions is examined. The fermion determinant is evaluated by a replacement of a matrix inversion with a stochastic iteration procedure. An advantage is that the computation time increases linearly with the increase of spatial system size. Efficiency and convergence in Hubbard-type models are investigated in various cases and temperatures.