Uncertainty Quantification and Parameter Inference for Mesoscopic Modeling

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：cronyGT

【摘要】

：

　　We propose a method to quantify uncertainty for physical systems with high dimensional stochastic space using generalize polynomial chaos expansion.

【作者】

：

Huan Lei Yang Xiu Baker Nathan Bin Zheng Karniadakis George

【机构】

：

Pacific Northwest Natl Laboratory

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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　　We propose a method to quantify uncertainty for physical systems with high dimensional stochastic space using generalize polynomial chaos expansion.

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Uncertainty Quantification and Parameter Inference for Mesoscopic Modeling

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