@Article{IJNAM-6-3,
author = {},
title = {Numerical Methods for Non-Smooth $L^1$ Optimization: Applications to Free Surface Flows and Image Denoising},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2009},
volume = {6},
number = {3},
pages = {355--374},
abstract = {<p style="text-align: justify;">Non-smooth optimization problems based on $L^1$ norms are investigated
for smoothing of signals with noise or functions with sharp gradients.
The use of $L^1$ norms allows to reduce the blurring introduced by methods based
on $L^2$ norms. Numerical methods based on over-relaxation and augmented Lagrangian
algorithms are proposed. Applications to free surface flows and image
denoising are presented.</p>},
issn = {2617-8710},
doi = {https://doi.org/2009-IJNAM-772},
url = {https://global-sci.com/article/83653/numerical-methods-for-non-smooth-l1-optimization-applications-to-free-surface-flows-and-image-denoising}
}