使委屈
发表于 2025-3-21 17:39:51
书目名称Anomaly Detection in Random Heterogeneous Media影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0158034<br><br> <br><br>书目名称Anomaly Detection in Random Heterogeneous Media读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0158034<br><br> <br><br>
无法解释
发表于 2025-3-21 22:26:15
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exorbitant
发表于 2025-3-22 04:03:25
https://doi.org/10.1007/978-3-642-58393-3ed on the first stage results is defined and the resulting posterior distribution is sampled via Markov chain Monte Carlo. We provide the theoretical foundation of the proposed method, discuss different aspects of a numerical implementation and present numerical experiments to support our findings.
有助于
发表于 2025-3-22 05:17:39
Stochastic homogenization: Theory and numericsato, Kim and Cule . From a mathematical point of view, the novelty of the proposed method lies in the fact that it is based on the aforementioned stochastic homogenization result, that is, on simulation of the underlying diffusion process rather than on the usual discretization of the so-called ..
interlude
发表于 2025-3-22 12:18:50
Statistical inversioned on the first stage results is defined and the resulting posterior distribution is sampled via Markov chain Monte Carlo. We provide the theoretical foundation of the proposed method, discuss different aspects of a numerical implementation and present numerical experiments to support our findings.
GEST
发表于 2025-3-22 12:53:26
and numerical solution of a stochastic inverse anomaly detection problem in electrical impedance tomography (EIT). Martin Simon studies the problem of detecting a parameterized anomaly in an isotropic, stationary and ergodic conductivity random field whose realizations are rapidly oscillating. For
有常识
发表于 2025-3-22 19:14:02
Barbara Ruttmann,Karl Solchenbachontrast to this well-studied situation, the underlying reflecting diffusion processes in this work are constructed via Dirichlet form theory, which has emerged as a powerful tool when it comes to studying boundary value problems with non-smooth coefficients, boundaries and data.
遍及
发表于 2025-3-22 22:33:05
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chemical-peel
发表于 2025-3-23 03:44:56
Book 2015phy (EIT). Martin Simon studies the problem of detecting a parameterized anomaly in an isotropic, stationary and ergodic conductivity random field whose realizations are rapidly oscillating. For this purpose, he derives Feynman-Kac formulae to rigorously justify stochastic homogenization in the case
Bucket
发表于 2025-3-23 08:54:38
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