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Krylov Subspace Methods with a Twist

Krylov subspace methods are widely used iterative solvers for real or complex linear systems. In this talk, I will advocate that these methods should be viewed as more than just algorithms juggling matrices and vectors. Instead, with a view towards the setting behind the linear systems, we will systematically re-derive a general residual minimizing ...
openaire   +1 more source

Recent computational developments in Krylov subspace methods for linear systems

Numerical Linear Algebra With Applications, 2007
Valeria Simoncini, Daniel B Szyld
exaly  

Krylov subspace methods for large-scale matrix problems in control

Future Generation Computer Systems, 2003
Biswa Nath Datta
exaly  

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