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5. Adaptive Model Reduction for Large-scale Inverse Problems with High Dimensional Unknowns

Adaptive Model Reduction for Large-scale Inverse Problems with High Dimensional Unknowns

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：ksxxccna

【摘 要】

：

Algorithmic scalability to high dimensional parameters and computationalefficiency of numerical solvers are two significant challenges in largescale,PDE-constrained inverse problems.

【作 者】

：

Cui Tiangang Marzouk Youssef Willcox Karen 

【机 构】

：

MIT Massachusetts Inst. of Tech.

【出 处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年5期

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论文部分内容阅读

　　Algorithmic scalability to high dimensional parameters and computationalefficiency of numerical solvers are two significant challenges in largescale,PDE-constrained inverse problems.

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