A Posteriori Estimates for the Stochastic Total Variation Flow

Banas L, Wilke A (2022)
SIAM Journal on Numerical Analysis 60(5): 2657-2680.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
We derive a posteriori error estimates for a fully discrete time-implicit finite element approximation of the stochastic total variaton flow (STVF) with additive space time noise. The estimates are first derived for an implementable fully discrete approximation of a regularized STVF. We then show that the derived a posteriori estimates remain valid for the unregularized flow up to a perturbation term that can be controlled by the regularization parameter. Based on the derived a posteriori estimates we propose a pathwise algorithm for the adaptive space-time refinement and perform numerical simulation for the regularized STVF to demonstrate the behavior of the proposed algorithm.
Stichworte
stochastic total variation flow; finite element approximation; a; posteriori estimates
Erscheinungsjahr
2022
Zeitschriftentitel
SIAM Journal on Numerical Analysis
Band
60
Ausgabe
5
Seite(n)
2657-2680
ISSN
0036-1429
eISSN
1095-7170
Page URI
https://pub.uni-bielefeld.de/record/2984062

Zitieren

Banas L, Wilke A. A Posteriori Estimates for the Stochastic Total Variation Flow. SIAM Journal on Numerical Analysis . 2022;60(5):2657-2680.
Banas, L., & Wilke, A. (2022). A Posteriori Estimates for the Stochastic Total Variation Flow. SIAM Journal on Numerical Analysis , 60(5), 2657-2680. https://doi.org/10.1137/21M1447982
Banas, Lubomir, and Wilke, Andre. 2022. “A Posteriori Estimates for the Stochastic Total Variation Flow”. SIAM Journal on Numerical Analysis 60 (5): 2657-2680.
Banas, L., and Wilke, A. (2022). A Posteriori Estimates for the Stochastic Total Variation Flow. SIAM Journal on Numerical Analysis 60, 2657-2680.
Banas, L., & Wilke, A., 2022. A Posteriori Estimates for the Stochastic Total Variation Flow. SIAM Journal on Numerical Analysis , 60(5), p 2657-2680.
L. Banas and A. Wilke, “A Posteriori Estimates for the Stochastic Total Variation Flow”, SIAM Journal on Numerical Analysis , vol. 60, 2022, pp. 2657-2680.
Banas, L., Wilke, A.: A Posteriori Estimates for the Stochastic Total Variation Flow. SIAM Journal on Numerical Analysis . 60, 2657-2680 (2022).
Banas, Lubomir, and Wilke, Andre. “A Posteriori Estimates for the Stochastic Total Variation Flow”. SIAM Journal on Numerical Analysis 60.5 (2022): 2657-2680.
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