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Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods

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Pierquin, Antoine | Henneron, Thomas | Clenet, Stéphane | Brisset, Stephane

Edité par HAL CCSD ; IEEE

The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms of computation time and precision.

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