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5. Model Order Reduction for Uncertainty Quantification in Inverse Problems

Model Order Reduction for Uncertainty Quantification in Inverse Problems

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：hcjw248

【摘 要】

：

　　We present a computational reduction framework for efficient and accurate solution of Bayesian inverse problems on high-or infinitedimensional parameter spa

【作 者】

：

Chen Peng 

【机 构】

：

ETH Zurich(Swiss Federal Inst.of Tech.in Zurich)

【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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论文部分内容阅读

　　We present a computational reduction framework for efficient and accurate solution of Bayesian inverse problems on high-or infinitedimensional parameter spaces that commonly face the curse of dimensionality and large-scale computation.

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