An adaptive variance reduction algorithm based on RMC code for solving deep penetration problems
• Innovation: a new and different method for local variance reduction. • Universality: can be easily applied by kinds of Monte Carlo codes. • Feasibility: tested by a single-material problem and a multi-material problem. • Significance: improve the computational efficiency greatly.
Gespeichert in:
| Autor*in: |
Pan, Qingquan [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Commentary: The Autonomy/Safety Dilemma in Cardiac Surgical Training - Cohen, Robbin G. ELSEVIER, 2021, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:128 ; year:2019 ; pages:171-180 ; extent:10 |
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| DOI / URN: |
10.1016/j.anucene.2019.01.009 |
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• Innovation: a new and different method for local variance reduction. • Universality: can be easily applied by kinds of Monte Carlo codes. • Feasibility: tested by a single-material problem and a multi-material problem. • Significance: improve the computational efficiency greatly. |
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