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E. Mikusová

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Open access Sep 2026

Fast Flexible LSQR with a Hybrid Variant for Efficient Large-Scale Regularization

Abstract. A wide range of applications necessitates solving large-scale ill-posed problems contaminated by noise, which are commonly formulated as linear approximation problems (possibly overdetermined or underdetermined). Krylov subspace regularization methods are particularly advantageous in this context, as they re...

E. Mikusová, I. Hnětynková · 0 citations

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