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Technical Paper

A Functional Monte Carlo Method for k-Eigenvalue Problems

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Pages 107-126 | Published online: 10 Apr 2017

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Read on this site (10)

Anurag Gupta & R. S. Modak. (2020) Monte Carlo Solution of k-Eigenvalue Problem Using Subspace Iteration Method. Nuclear Science and Engineering 194:2, pages 87-103.
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D. A. Knoll, H. Park & C. Newman. (2011) Acceleration of k-Eigenvalue/Criticality Calculations Using the Jacobian-Free Newton-Krylov Method. Nuclear Science and Engineering 167:2, pages 133-140.
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Anil K. Prinja. (2015) Effect of spatio-temporal noise in the Eddington factor on the scalar flux. Annals of Nuclear Energy 86, pages 116-122.
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Jeffrey Willert, C. T. Kelley, D. A. Knoll & H. Park. (2013) Hybrid Deterministic/Monte Carlo Neutronics. SIAM Journal on Scientific Computing 35:5, pages S62-S83.
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William R. Martin. (2012) CHALLENGES AND PROSPECTS FOR WHOLE-CORE MONTE CARLO ANALYSIS. Nuclear Engineering and Technology 44:2, pages 151-160.
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Sunghwan Yun & Nam Zin Cho. (2010) Acceleration of source convergence in Monte Carlo k-eigenvalue problems via anchoring with a p-CMFD deterministic method. Annals of Nuclear Energy 37:12, pages 1649-1658.
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Anil K. Prinja & Edward W. Larsen. 2010. Handbook of Nuclear Engineering. Handbook of Nuclear Engineering 427 542 .

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