Results 31 to 40 of about 17,312,778 (333)
A novel method for the 3D inhomogeneous percolation on the Lattice with its application
Results in Physics, 2023 This article anticipates the puzzle of acquiring a three-dimensional inhomogeneous site percolation on an irregular Bethe Lattice (TDIBL). In this work, we explore a TDIBL with the intent to realize the right tradeoff among different percolating variates,
Muhammad Imran Shahid +2 more
doaj +1 more source
Discrete Variational Optimal Control [PDF]
Journal of Nonlinear Science, 2012 30 pages, 6 ...
Fernando Jiménez +2 more
openaire +2 more sources
Effect of mint juice on nitrite in pickled cabbage
Shanghai yufang yixue, 2023 ObjectiveTo explore the effect of mint juice on the nitrite content in pickled cabbage， and to determine the best concentration of mint juice through comprehensive sensory evaluation.MethodsThe control variates method was used to conduct this single ...
HE Yifei, LI Wenhui
doaj +1 more source
Sensors, 2021 Aimed at the problems in which the performance of filters derived from a hypothetical model will decline or the cost of time of the filters derived from a posterior model will increase when prior knowledge and second-order statistics of noise are ...
Lin Cao +6 more
doaj +1 more source
A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates [PDF]
SIAM Journal on Scientific Computing, 2020 This work develops a new multifidelity ensemble Kalman filter (MFEnKF) algorithm based on linear control variate framework. The approach allows for rigorous multifidelity extensions of the EnKF, where the uncertainty in coarser fidelities in the ...
A. Popov +3 more
semanticscholar +1 more source
Vector-Valued Control Variates [PDF]
, 2023 Control variates are variance reduction tools for Monte Carlo estimators. They can provide significant variance reduction, but usually require a large number of samples, which can be prohibitive when sampling or evaluating the integrand is ...
Briol, FX, Barp, A, Sun, Z
core
CoRR, 2016 In this paper we introduce a new unsupervised reinforcement learning method for discovering the set of intrinsic options available to an agent. This set is learned by maximizing the number of different states an agent can reliably reach, as measured by the mutual information between the set of options and option termination states.
Karol Gregor +2 more
openaire +3 more sources
Controlling variation in the comet assay [PDF]
Frontiers in Genetics, 2014 Variability of the comet assay is a serious issue, whether it occurs from experiment to experiment in the same laboratory, or between different laboratories analysing identical samples. Do we have to live with high variability, just because the comet assay is a biological assay rather than analytical chemistry? Numerous attempts have been made to limit
Collins, Andrew Richard +5 more
openaire +6 more sources
On the optimization of approximate control variates with parametrically defined estimators [PDF]
Journal of Computational Physics, 2020 Multi-model Monte Carlo methods, such as multi-level Monte Carlo (MLMC) and multifidelity Monte Carlo (MFMC), allow for efficient estimation of the expectation of a quantity of interest given a set of models of varying fidelities.
G. F. Bomarito +3 more
semanticscholar +1 more source
Monitoring Reliability for Three-Parameter Frechet Distribution Using Control Charts
IEEE Access, 2020 Control Charts for attributes have been widely adopted for examining the fraction non-conforming or non-conformities in a process. However, Shewhart control charts may face some practical problems when the process fraction of non-conformities is very low.
Youlong Wu +4 more
doaj +1 more source