New algorithms for second order model reduction based on Krylov projections

机译：基于Krylov投影的二阶模型约简的新算法

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We consider structure preserving dimension reduction of second order dynamical systems. Two new Krylov projection based algorithms are proposed which work good and fast in experiments. Both algorithms are suitable for large scale settings. They have some numerical advantages as well compared to existing algorithms in terms of time cost and eliminant of some ill-conditioning.

机译：我们考虑了二阶动力学系统的保结构降维。提出了两种新的基于Krylov投影的算法，它们在实验中效果良好且快速。两种算法均适用于大规模设置。与现有算法相比，它们在时间成本和消除某些不良状况方面也具有一些数值优势。

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《2011 International Conference on Electric Information and Control Engineering》|2011年|p.2383-2386|共4页
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Cong Teng; Xia Li;
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中图分类自动化技术及设备;
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New algorithms for second order model reduction based on Krylov projections

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