Relaxing the Kaczmarz algorithm stabilizes noisy reconstructions from stationary sequences, removes corruption from noise in H^∞(D) or subspaces of H²(D), and stabilizes Fourier series expansions in L²(μ) for singular μ.
115, Cambridge University Press, Cambridge, 1998, With two appendices by V
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.FA 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Stability of the Kaczmarz Reconstruction for Stationary Sequences
Relaxing the Kaczmarz algorithm stabilizes noisy reconstructions from stationary sequences, removes corruption from noise in H^∞(D) or subspaces of H²(D), and stabilizes Fourier series expansions in L²(μ) for singular μ.