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math.NA2023
Estimating the error in CG-like algorithms for least-squares and least-norm problems
Jan Papež, Petr Tichý
In [Meurant, Papež, Tichý; Numerical Algorithms 88, 2021], we presented an adaptive estimate for the energy norm of the error in the conjugate gradient (CG) method. In this paper,…
math.NA2021
Accurate error estimation in CG
Gérard Meurant, Jan Papež, Petr Tichý
In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear algebraic equations with a re…
math.NA2020
Accelerating linear system solvers for time domain component separation of cosmic microwave background data
J. Papež, L. Grigori, R. Stompor
Component separation is one of the key stages of any modern, cosmic microwave background (CMB) data analysis pipeline. It is an inherently non-linear procedure and typically involv…