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5. Using Krylov-type Parametric Model Reduction to Accelerate Uncertainty Quantification of Electro-The

Using Krylov-type Parametric Model Reduction to Accelerate Uncertainty Quantification of Electro-The

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：anlisha521

【摘 要】

：

Uncertainty quantification for high-order electro-thermal models of power-MOS devices is computationally expensive.To reduce the computational cost,we employ a Krylov-type parametric model reduction m

【作 者】

：

Yue Yao Feng Lihong Meuris Peter Schoenmaker Wim Benner Peter 

【机 构】

：

MPI-Magdeburg Max Planck Inst.for Dynamics of Com

【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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　　Uncertainty quantification for high-order electro-thermal models of power-MOS devices is computationally expensive.To reduce the computational cost,we employ a Krylov-type parametric model reduction method,which builds a reduced model of high accuracy for parameter values within a certain range.

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