An Auto-Importance Sampling Method for Deep Penetration Problems
نویسندگان
چکیده
منابع مشابه
AN ADAPTIVE IMPORTANCE SAMPLING-BASED ALGORITHM USING THE FIRST-ORDER METHOD FOR STRUCTURAL RELIABILITY
Monte Carlo simulation (MCS) is a useful tool for computation of probability of failure in reliability analysis. However, the large number of samples, often required for acceptable accuracy, makes it time-consuming. Importance sampling is a method on the basis of MCS which has been proposed to reduce the computational time of MCS. In this paper, a new adaptive importance sampling-based algorith...
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ژورنال
عنوان ژورنال: Progress in Nuclear Science and Technology
سال: 2011
ISSN: 2185-4823
DOI: 10.15669/pnst.2.732