Generalized minimal residual method - PDFSEARCH.IO - Document Search Engine

Generalized minimal residual method
Results: 60

#	Item
1	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Sparse Preconditioning for Model Predictive Control Knyazev, A.; Malyshev, A. TR2016-046 Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-07 12:22:34 Numerical linear algebra Mathematics Preconditioner Mathematical analysis Iterative method Generalized minimal residual method Optimal control Computational science
2	PARALLEL KRYLOV SOLVERS FOR THE POLYNOMIAL EIGENVALUE PROBLEM IN SLEPc∗ CARMEN CAMPOS† AND JOSE E. ROMAN† Abstract. Polynomial eigenvalue problems are often found in scientific computing applications. When the coef Add to Reading List Source URL: users.dsic.upv.es Language: English - Date: 2015-05-20 08:54:40 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory Spectral theory SLEPc Eigenvalues and eigenvectors Arnoldi iteration Nonlinear eigenproblem Generalized minimal residual method Matrix
3	OT109_OLearyFM-A:OT109_OLearyFM-A.qxd Add to Reading List Source URL: www.siam.org Language: English - Date: 2009-08-21 09:21:06 Algebra Mathematics Linear algebra Numerical linear algebra Iterative method Generalized minimal residual method Multigrid method Singular value decomposition Numerical analysis Krylov subspace Matrix Finite element method
4	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 Add to Reading List Source URL: icl.cs.utk.edu Language: English - Date: 2016-04-04 12:47:33 Numerical 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
5	Comparison of parallel preconditioners for a Newton-Krylov flow solver Jason E. Hicken, Michal Osusky, and David W. Zingg 1 Introduction Analysis of the results from the AIAA Drag Prediction workshops (Mavriplis et al, Add to Reading List Source URL: homepages.rpi.edu Language: English - Date: 2012-07-05 17:13:07 Numerical linear algebra Incomplete LU factorization Preconditioner Computational fluid dynamics Iterative method Lis NewtonKrylov method Schur complement Matrix Generalized minimal residual method SLEPc
6	Universality in Numerical Computations with Random Data. Case Studies. Percy Deift∗, Govind Menon†, Sheehan Olver‡and Thomas Trogdon∗ July 16, 2014 Abstract Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Numerical linear algebra Mathematical physics Matrix theory Linear algebra QR algorithm Eigenvalues and eigenvectors Matrix Determinant Generalized minimal residual method Random matrix Rotation matrix Eigenvalue algorithm
7	Math 515, Numerical Analysis Fall 2014 ProfessorOfficeOffice hours ... Add to Reading List Source URL: www.mathcs.emory.edu Language: English - Date: 2014-08-21 18:45:30 Numerical linear algebra Matrix theory Linear algebra Mathematical physics Numerical analysis Generalized minimal residual method Lloyd N. Trefethen Matrix decomposition Singular value decomposition Matrix Iterative method Eigenvalues and eigenvectors
8	Universality in numerical computations with random data Percy A. Deifta,1, Govind Menonb, Sheehan Olverc, and Thomas Trogdona a Courant Institute, New York University, New York, NY 10012; bDivision of Applied Mathematics Add to Reading List Source URL: www.dam.brown.edu Language: English - Date: 2014-09-24 16:00:09 Algebra Mathematics Linear algebra Mathematical physics Matrices Matrix theory Numerical linear algebra Matrix Rotation matrix Generalized minimal residual method Determinant Random matrix
9	Flexible and multi-shift induced dimension reduction algorithms for solving large sparse linear systems Add to Reading List Source URL: www.ewi.tudelft.nl Language: English - Date: 2011-11-24 05:39:56 Numerical linear algebra Abstract algebra Matrices Functional analysis Generalized minimal residual method Krylov subspace Projection Hessenberg matrix Rank Algebra Mathematics Linear algebra
10	DELFT UNIVERSITY OF TECHNOLOGY REPORTExploiting BiCGstab(ℓ) strategies to induce dimension reduction Gerard L.G. Sleijpen and Martin B. van Gijzen Add to Reading List Source URL: www.ewi.tudelft.nl Language: English - Date: 2011-05-11 08:17:09 Numerical linear algebra Abstract algebra Operator theory Matrix theory Krylov subspace Generalized minimal residual method Biconjugate gradient stabilized method Lp space Vector space Algebra Mathematics Linear algebra

UPDATE