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A linear heuristic for multiple importance sampling
Multiple importance sampling combines the probability density functions of several sampling techniques into an importance function. The combination...
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Effective Error Floor Estimation Based on Importance Sampling with the Uniform Distribution
A key problem of low-density parity-check (LDPC) codes analysis is estimation of an extremely low error floor that occurs at a high level of the...
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A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling
This article describes a new adaptive Kriging method combined with adaptive importance sampling approximating the optimal auxiliary by iteratively...
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Reliability and global sensitivity analysis based on importance directional sampling and adaptive Kriging model
This paper adopts importance directional sampling (IDS) and adaptive Kriging model for reliability and global sensitivity analysis. IDS is the...
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Reliability-based structural optimization using adaptive neural network multisphere importance sampling
An innovative adaptive neural network multisphere importance sampling (ANNM-IS) is proposed and integrated with symbiotic organism search (SOS) to...
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Reliability updating with equality information using adaptive kriging-based importance sampling
Reliability updating can be interpreted by the process of reevaluating structural reliability with data stemming from structural health monitoring...
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On efficient time-dependent reliability analysis method through most probable point-oriented Kriging model combined with importance sampling
Time-dependent reliability analysis (TRA) has attracted widespread attention due to its viability in evaluating the reliability of structures during...
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Importance Sampling Over Monte Carlo Technique to Estimate Wireless Infrared On-Chip Communication
Optical code division multiple access (OCDMA) represents the development of optical communication. The advantages of OCDMA such as, asynchronous...
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A novel single-loop meta-model importance sampling with adaptive Kriging for time-dependent failure probability function
To learn the effect of interested distribution parameter, also the design variable of random input vector, on time-dependent failure probability, and...
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Novel reliability evaluation method combining active learning kriging and adaptive weighted importance sampling
To ensure the reliability of complex structures, a novel reliability assessment method combining an active learning kriging (ALK) model with adaptive...
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Moving-zone renewal strategy combining adaptive Kriging and truncated importance sampling for rare event analysis
In practice, a vital challenge problem is how to accurately evaluate the failure probability of rare events with a minimum of samples. Although...
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A Kriging-assisted two-stage adaptive radial-based importance sampling method for random-interval hybrid reliability analysis
For uncertain structures with the coexisting random and interval inputs, effectively estimating the lower and upper bounds of failure probability is...
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Importance sampling-based algorithms for efficiently estimating failure chance index under two-fold random uncertainty
Under condition of two-fold random uncertainty, a key for evaluating failure chance index (FCI) of structure system is estimating failure probability...
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Vector-angle geometric map**-based directional importance sampling method for reliability analysis
In reliability analysis, the probability density function (PDF) of the directional importance sampling method is based on a multi-dimensional vector...
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A coupled adaptive radial-based importance sampling and single-loop Kriging surrogate model for time-dependent reliability analysis
To efficiently analyze the time-dependent reliability is still a challenge today for many applications. This paper aims at modifying the original...
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Application of an improved sequential importance sampling for structural reliability analysis of aeronautical hydraulic pipeline with multiple stochastic responses
Estimating the failure probabilities of multiple failure modes is a challenging task in structural reliability analysis. The conventional sequential...
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Alternative Sampling Approaches for Integrated Safety Analysis: Latin Hypercube Versus Deterministic Sampling
Integrated safety analysis combines both deterministic and probabilistic safety analysis, which brings several advantages including improved modeling...
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Time-variant reliability analysis using moment-based equivalent Gaussian process and importance sampling
Time-variant reliability analysis (TRA) has drawn tremendous interest of engineers attributable to its ability in assessing the probability that a...
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Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations
Multiscale simulations are a well-accepted way to bridge the length and time scales required for scientific studies with the solution accuracy...
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Sampling
Sampling is one of the main processes in an analog-to-digital converter. The sampling theory is examined and the crucial elements are extensively...