A Stochastic Collocation Method Combined With a Reduced Basis Method to Compute Uncertainties in Numerical Dosimetry

被引：15

作者：

Drissaoui, Mohammed Amine ^{[1
,2
]}

Lanteri, Stephane ^{[3
]}

Leveque, Philippe ^{[4
]}

Musy, Francois ^{[2
]}

Nicolas, Laurent ^{[1
]}

Perrussel, Ronan ^{[5
]}

Voyer, Damien ^{[1
]}

机构：

[1] Univ Lyon, CNRS, Lab Ampere, Ecole Cent Lyon, F-69134 Ecully, France

[2] Univ Lyon, CNRS, Inst Camille Jordan, Ecole Cent Lyon, F-69134 Ecully, France

[3] INRIA, Team NACHOS, F-06902 Sophia Antipolis, France

[4] Univ Limoges, CNRS, XLIM, F-87060 Limoges, France

[5] Univ Toulouse, CNRS, LAPLACE, F-31071 Toulouse, France

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2012年 / 48卷 / 02期

关键词：

Dosimetry; finite-element methods; numerical analysis; MODELS; HEAD; SAR;

D O I：

10.1109/TMAG.2011.2174347

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A reduced basis method is introduced to deal with a stochastic problem in a numerical dosimetry application in which the field solutions are computed using an iterative solver. More precisely, the computations already performed are used to build an initial guess for the iterative solver. It is shown that this approach significantly reduces the computational cost.

引用

页码：563 / 566

页数：4

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