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This talk presents results of a comparitive study of iterative algorithms like minimal residue () and conjugate gradient (, , and \bicgstab) used for inverting the Dirac matrix . The tests were done on the Connection Machine CM-5 using lattices. The fermion action used is of Wilson type, both with and without the clover term. The overall conclusion is that preconditioned over-relaxed is the simplest, uses the least memory, and is comparable in performance to \bicgstab. We find these two algorithms to be equally robust, insensitive to the starting solution and to round-off errors.

生成讲解博客的中文版本

生成AI智能校验的中文版本