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This work aims at understanding of bold diagrammatic Monte Carlo (BDMC)methods for stochastic summation of Feynman diagrams from the angle ofstochastic iterative methods. The convergence enhancement trick of the BDMC isinvestigated from the analysis of condition number and convergence of thestochastic iterative methods. Numerical experiments are carried out for modelsystems to compare the BDMC with related stochastic iterative approaches.

Bold Diagrammatic Monte Carlo in the Lens of Stochastic Iterative Methods