Adaptive Importance Sampling with a Rapidly Varying Importance Function-Reference-Cited by-同舟云学术

Adaptive Importance Sampling with a Rapidly Varying Importance Function

Published:2000-11 Issue:3 Volume:136 Page:399-408
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Booth Thomas E.¹

Affiliation:

1. Los Alamos National Laboratory, Mail Stop F663 Diagnostic Applications Group, X-5, Los Alamos, New Mexico 87545

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.13182/NSE00-A2168

Reference4 articles.

1. C. HAYAKAWA, R. KONG, Y. LAI, and J. SPANIER, “Methods and Algorithms for Geometric Convergence in Transport Problems,” LANL-99001, p. 30, Claremont Research Institute of Applied Mathematical Sciences/Los Alamos National Laboratory (1999).

2. Zero-Variance Solutions for Linear Monte Carlo

3. Simultaneous Monte Carlo Zero-Variance Estimates of Several Correlated Means

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