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.
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Masatoshi Imada (1988) studied this question.
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