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 Date: 2016-04-04 12:47:33Numerical linear algebra Krylov subspace Generalized minimal residual method Iterative method Biconjugate gradient stabilized method Preconditioner Matrix Lis Sparse matrix Conjugate gradient method IML++ Arnoldi iteration |
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Efficiency of general Krylov methods on GPUs – An experimental study Hartwig Anzt, Jack Dongarra University of Tennessee Knoxville, TN, USA {hanzt,dongarra}@icl.utk.edu![13 Numerical Linear Algebra We consider here the numerical side of linear algebra, the symbolic side being described in Chapter 8. The linear algebra numerical analysis and methods are discussed in [TBI97, Sch02]. The b](https://www.pdfsearch.io/img/f034dcadbc3c813c3f924be8d663a81e.jpg "13 Numerical Linear Algebra We consider here the numerical side of linear algebra, the symbolic side being described in Chapter 8. The linear algebra numerical analysis and methods are discussed in [TBI97, Sch02]. The b")
![NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Numer. Linear Algebra Appl. 2001; 00:1–6 Prepared using nlaauth.cls [Version: v1.0] Preconditioning KKT systems](https://www.pdfsearch.io/img/573d39c5db9b2bdf4425d7dbdaa322cb.jpg "NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Numer. Linear Algebra Appl. 2001; 00:1–6 Prepared using nlaauth.cls [Version: v1.0] Preconditioning KKT systems")
