A generalized optimization of Monte Carlo particle transport schemes
1993
Formulations and algorithms for optimizing biased random walk problems in radiation transport are described. A matrix-integral equation is constructed by coupling the second moment and its derivative with respect to the biasing parameter. The optimization is based on estimation of the second moment around the score and the Monte Carlo perturbation algorithm to treat the variation in the biasing parameter.
Keywords:
- Monte Carlo method for photon transport
- Dynamic Monte Carlo method
- Particle physics
- Mathematical optimization
- Monte Carlo molecular modeling
- Physics
- Quantum Monte Carlo
- Statistical physics
- Hybrid Monte Carlo
- Metropolis light transport
- Monte Carlo method
- Monte Carlo method in statistical physics
- Quasi-Monte Carlo method
- Monte Carlo integration
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