PreprintCC BY 4.0HAL
Notes on the discretization of TV-NORM regularized inverse potential problems
Abstract
We describe a method to discretize optimization problems arising in the regularization of linear inverse problem having compact forward operator defined on 3-D valued measures, compactly supported on a fixed set. The criterion is a quadratic residual attached to the data, with an additive penalization of the total variation of the measure.
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BibTeX
@misc{baratchart2026notes,
title = {{Notes on the discretization of TV-NORM regularized inverse potential problems}},
author = {L Baratchart and D P Hardin and Cristóbal Villalobos Guillén},
howpublished = {HAL},
year = {2026},
month = oct,
eprint = {2505.00710},
archivePrefix = {arXiv},
url = {https://hal.science/hal-05008293v2},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Notes on the discretization of TV-NORM regularized inverse potential problems
AU - L Baratchart
AU - D P Hardin
AU - Cristóbal Villalobos Guillén
PY - 2026
DA - 2026/10/02
PB - HAL
UR - https://hal.science/hal-05008293v2
AB - We describe a method to discretize optimization problems arising in the regularization of linear inverse problem having compact forward operator defined on 3-D valued measures, compactly supported on a fixed set. The criterion is a quadratic residual attached to the data, with an additive penalization of the total variation of the measure.
ER -