A batched randomized-Halton variant of the iterative quasi-Monte Carlo method removes fixed-seed ray-effect bias in k-eigenvalue neutron transport while preserving O(1/N) convergence.
On the distribution of points in a cube and the approximate evaluation of integrals
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A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence
A batched randomized-Halton variant of the iterative quasi-Monte Carlo method removes fixed-seed ray-effect bias in k-eigenvalue neutron transport while preserving O(1/N) convergence.