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This paper presents a robust technique, based on Krylov-subspace method, for the reduction of large-scale state-space models arising in many electromagnetic applications in fusion machines. The proposed approach, built on the Arnoldi algorithm, aims at reducing the number of states of the system and lowering the computational effort, with a negligible loss of accuracy in the numerical solution. A...
This work presents a robust technique, based on the Krylov subspace method, for the reduction of large-scale state-space models arising in many electromagnetic problems in fusion machines. The proposed approach aims at reducing the number of states of the system and lowering the computational effort, with a negligible loss of accuracy in the numerical solution. It is built on the Arnoldi algorithm,...
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