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Some of the next articles are maybe not open access.
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
Implementation of a restarted Krylov subspace method for the evaluation of matrix functions
Linear Algebra and Its Applications, 2008Oliver G Ernst, Stefan Güttel
exaly
Krylov-Subspace Recycling via the POD-Augmented Conjugate-Gradient Method
SIAM Journal on Matrix Analysis and Applications, 2016Kevin Carlberg
exaly
Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
Applied Numerical Mathematics, 2002Zhaojun Bai
exaly

