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机译:通过不精确的低秩牛顿-ADI方法有效求解与指数2 DAE相关的大规模代数Riccati方程
Research Group Computational Methods in Systems and Control Theory (CSC) Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Sandtorstr. 1 39106 Magdeburg Germany Institut fur Analysis und Numerik Fakultaet fuer Mathematik Otto-von-Guericke Universitaet Magdeburg Universitaetsplatz 2 39106 Magdeburg Germany;
Department of Computational and Applied Mathematics (CAAM) Rice University MS-134 6100 Main Street Houston TX 77005-1892 USA;
Research Group Computational Methods in Systems and Control Theory (CSC) Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Sandtorstr. 1 39106 Magdeburg Germany;
The Mathworks Ltd. Matrix House Cambridge Business Park CB4 OHH Cambridge United Kingdom;
Riccati equation; Kleinman-Newton; Stokes; Navier-Stokes; Low-rank ADI methods;
机译:大规模代数Riccati方程的不精确低秩Newton-ADI方法
机译:大型非对称代数Riccati方程的低阶Newton-ADI方法
机译:线性搜索的不精确Kleinman-Newton-ADI方法求解大型代数Riccati方程
机译:求解离散代数Riccati方程的不精确牛顿方法
机译:大规模线性矩阵方程的低秩求解方法。
机译:RADI:低阶ADI型算法用于大规模代数Riccati方程
机译:高尺寸代数Riccati方程的高效解与Index-2 Daes相关的大规模代数方程通过不精确的低级牛顿-ADI方法