A Bayesian Level-set Approach for Geometric 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：enlic

【摘要】

：

　　We discuss a computational Bayesian framework for the solution of PDE-constrained inverse problems where the unknown is a geometric feature of the underlyin

【作者】

：

Iglesias Marco Stuart Andrew Lu Yulong

【机构】

：

Univ.of Nottingham

【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 discuss a computational Bayesian framework for the solution of PDE-constrained inverse problems where the unknown is a geometric feature of the underlying PDE forward model.Geometric features are parameterised by means of a level-set function.

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A Bayesian Level-set Approach for Geometric Inverse Problems

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