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CSR
2008
Springer

Additive Preconditioning for Matrix Computations

9 years 1 months ago
Additive Preconditioning for Matrix Computations
Versus the customary preconditioners, our weakly random ones are generated more readily and for a much larger class of input matrices. Furthermore our preconditioners have a wider range of applications, in particular to linear systems with rectangular and rank deficient coefficient matrices and to eigen-solving. We study the generation of such preconditioners and their impact on conditioning of the input matrix. Our analysis and experiments show the power of this approach even where we use weak randomization, with fewer random parameters, and choose sparse and structured preconditioners. 2000 Math. Subject Classification: 65F22, 65F35, 65A12 Key words: Matrix computations, Additive preconditioning, Weak randomization
Victor Y. Pan, Dmitriy Ivolgin, Brian Murphy, Rhys
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where CSR
Authors Victor Y. Pan, Dmitriy Ivolgin, Brian Murphy, Rhys Eric Rosholt, Yuqing Tang, Xiaodong Yan
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