Hybrid CG-Tikhonov is a filtration of the CG Lanczos vectors
Daniel Gerth, Kirk M. Soodhalter

TL;DR
This paper introduces a new interpretation of hybrid CG-Tikhonov regularization as a filtration of Lanczos vectors, revealing how the Tikhonov parameter influences the decay of filters and the contribution of iterative components.
Contribution
It provides a novel representation of CGT iterates as filtered sums of Lanczos vectors, linking the Tikhonov parameter to filter decay and offering insights for parameter selection.
Findings
Lanczos filters decay faster as the Tikhonov parameter increases.
Filtering out later CG terms improves regularization effectiveness.
Numerical experiments confirm the impact of parameter choices on filtering behavior.
Abstract
We consider iterative methods for solving linear ill-posed problems with compact operator and right-hand side only available via noise-polluted measurements. Conjugate gradients (CG) applied to the normal equations with an appropriate stopping rule and CG applied to the system solving for a Tikhonov-regularized solution (CGT) are closely related regularization methods that build iterates from the same Krylov subspaces. In this work, we show that the CGT iterate can be expressed as where are functions of the Tikhonov parameter and is the -th CG iterate. We call these functions Lanczos filters, and they can be shown to have decay properties as…
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Taxonomy
TopicsMathematical Analysis and Transform Methods
