Exponential convergence with adaptive Monte Carlo
Journal Article
·
· Transactions of the American Nuclear Society
OSTI ID:552457
- Los Alamos National Lab., NM (United States)
Nonadaptive Monte Carlo errors converge to zero as the square root of the computer time. {open_quotes}Exponential convergence{close_quotes} refers to cases where the error is decreasing exponentially with computer time t (i.e., e{sup -{alpha}t}). For more than a decade, it has been known that exponential convergence on discrete transport problems was possible using adaptive Monte Carlo techniques. Now, exponential convergence has been empirically demonstrated on a spatially continuous problem.
- OSTI ID:
- 552457
- Report Number(s):
- CONF-971125--
- Journal Information:
- Transactions of the American Nuclear Society, Journal Name: Transactions of the American Nuclear Society Vol. 77; ISSN 0003-018X; ISSN TANSAO
- Country of Publication:
- United States
- Language:
- English
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