Paper Citation Record · LEDGER

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.10864.

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2607.10864 v1

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Outbound references

Observation 5029aeb6-6aaf-4491-a784-fa79215ded76 · outbound

This paper cites SIAM, Philadelphia (2006).

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM, Philadelphia (2006)

Reference 1

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This paper cites Mathematics and Its Applications.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Mathematics and Its Applications

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This paper cites Institute of Physics Publishing, Bristol (1998).

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Institute of Physics Publishing, Bristol (1998)

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This paper cites SIAM journal on imaging sciences 2(1), 183–202 (2009) 32.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM journal on imaging sciences 2(1), 183–202 (2009) 32

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This paper cites Multiscale Model.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Multiscale Model

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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This paper cites Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Reference 13

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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This paper cites IEEE Trans.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring IEEE Trans

Reference 21

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

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This paper cites Inverse Problems and Imaging 7(3), 717–736 (2013) https://doi.org/10.3934/ipi.2013.7.717.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Inverse Problems and Imaging 7(3), 717–736 (2013) https://doi.org/10.3934/ipi.2013.7.717

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This paper cites Journal of S cientiﬁc Computing 103(3), 85 (2025) https://doi.org/10.1007/s10915-025-02863-8.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Journal of S cientiﬁc Computing 103(3), 85 (2025) https://doi.org/10.1007/s10915-025-02863-8

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This paper cites Computational Optimization and Applications 91, 357–395 (2024) https://doi.org/10.1007/s10589-024-00613-4.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Computational Optimization and Applications 91, 357–395 (2024) https://doi.org/10.1007/s10589-024-00613-4

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This paper cites In: ICASSP 2023 - 2023 IEEE International Co nfer- ence on Acoustics, Speech and Signal Processing (ICASSP), pp.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring In: ICASSP 2023 - 2023 IEEE International Co nfer- ence on Acoustics, Speech and Signal Processing (ICASSP), pp

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Electron

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring ap plication to image restoration

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This paper cites Numerical linear algebra with applications 12(8), 715–729 (2005).

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Numerical linear algebra with applications 12(8), 715–729 (2005)

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This paper cites SIAM Journal on Scientiﬁc Computing 27(6), 2053–2076 (2006).

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM Journal on Scientiﬁc Computing 27(6), 2053–2076 (2006)

Reference 30

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM Journal on Imaging Sciences 1(1), 51–74 (2008)

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM Journal on Scientiﬁc Computing 32(2), 1043–1063 (2010)

Reference 32

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Princeton Mathematical Ser ies

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This paper cites Bu l- letin de la Soci´ et´ e Math´ ematique de France 93, 273–299 (1965) https://doi.org/10.24033/bsmf.1625.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Bu l- letin de la Soci´ et´ e Math´ ematique de France 93, 273–299 (1965) https://doi.org/10.24033/bsmf.1625

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This paper cites Communications o n Pure and Applied Mathematics: A Journal Issued by the Courant Institute o f Mathematical Sciences 57(11), 1413–1457 (2004).

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Communications o n Pure and Applied Mathematics: A Journal Issued by the Courant Institute o f Mathematical Sciences 57(11), 1413–1457 (2004)

Reference 35

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Math- ematics and Its Applications, vol

Reference 36

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This paper cites Computational Optimiz ation and Applications 84, 1–39 (2022) https://doi.org/10.1007/s10589-022-00410-x.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Computational Optimiz ation and Applications 84, 1–39 (2022) https://doi.org/10.1007/s10589-022-00410-x

Reference 37

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This paper cites SIAM Journal on Optimization 22(2), 557–580 (2012) https://doi.org/10.1137/100818327.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM Journal on Optimization 22(2), 557–580 (2012) https://doi.org/10.1137/100818327

Reference 38

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This paper cites SIAM Journal on Optimization 25, 2408–2433 (2015) https://doi.org/10.1137/140994964.

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring SIAM Journal on Optimization 25, 2408–2433 (2015) https://doi.org/10.1137/140994964

Reference 39

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Unresolved cited work

Reference 40

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Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Numerical Algorit hms 81 (2019) https://doi.org/10.1007/s11075-018-0570-7

Reference 41

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This paper cites Applied and Computational Harmonic Analysis 24(2), 131–149 (2008) 35 A Framelets Let W denote the tight frame associated with linear B-splines [ 42].

Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring Applied and Computational Harmonic Analysis 24(2), 131–149 (2008) 35 A Framelets Let W denote the tight frame associated with linear B-splines [ 42]

Reference 42

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