## Abstract

We consider the numerical solution of the projected nonsymmetric algebraic Riccati equations or their associated Sylvester equations via Newton's method, arising in the refinement of estimates of invariant (or deflating subspaces) for a large and sparse real matrix A (or pencil A−λB). The engine of the method is the inversion of the matrix P_{2}P_{2}^{⊤}A−γI_{n} or P_{l2}P_{l2}^{⊤}(A−γB), for some orthonormal P_{2} or P_{l2} from R^{n×(n−m)}, making use of the structures in A or A−λB and the Sherman–Morrison–Woodbury formula. Our algorithms are efficient, under appropriate assumptions, as shown in our error analysis and illustrated by numerical examples.

Original language | English |
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Pages (from-to) | 70-86 |

Number of pages | 17 |

Journal | Journal of Computational and Applied Mathematics |

Volume | 315 |

DOIs | |

Publication status | Published - 2017 May 1 |

## Keywords

- Deflating subspace
- Invariant subspace
- Large-scale problem
- Nonsymmetric algebraic Riccati equation
- Sparse matrix
- Sylvester equation

## ASJC Scopus subject areas

- Computational Mathematics
- Applied Mathematics