Nuclear Science and Engineering / Volume 100 / Number 3 / November 1988 / Pages 248-254
Technical Paper / dx.doi.org/10.13182/NSE88-A29037
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A Monte Carlo learning and biasing technique that does its learning and biasing in the random number space rather than in the physical phase-space has been implemented in the Monte Carlo computer code MCNP. The technique was successfully applied on a simple penetration problem, and the results are given. The technique was also applied to a streaming problem with only marginal success.