Statistical Learning for Model Reduction with ATLAS

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：jtyz888

【摘要】

：

　　We discuss ATLAS,a statistical learning framework for model reduction of high-dimensional dynamical systems with few intrinsic degrees of freedom.The algori

【作者】

：

MaggioniMauro[1]CrosskeyMiles[1]WeareJonathan[2]

【机构】

：

Duke Univ.

【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 ATLAS,a statistical learning framework for model reduction of high-dimensional dynamical systems with few intrinsic degrees of freedom.The algorithm is highly parallelizable and only requires short trajectories of the system(treated as a black-box),and learns from these short paths an ensemble of accurate local reduced models.

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Statistical Learning for Model Reduction with ATLAS

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