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A Diffusion Monte Carlo algorithm employing depth first traversal and a stack instead of a swarm
arXiv:2606.08946v1 Announce Type: cross Abstract: Diffusion Monte Carlo (DMC) and Monte Carlo for particle transport with importance sampling both involve simulations of weighted walkers that undergo birth and death processes (splitting and Russian Roulette). The established implementations of these methods are quite different: Particle simulation Monte Carlo employs a stack to handle the splitting history whereas in traditional DMC one follows a swarm of walkers. The particle simulation...