Regularization of ill-posed problems with non-negative solutions
Numerical Analysis
2018-05-07 v1 Optimization and Control
Abstract
This survey reviews variational and iterative methods for reconstructing non-negative solutions of ill-posed problems in infinite-dimensional spaces. We focus on two classes of methods: variational methods based on entropy-minimization or constraints, and iterative methods involving projections or non-negativity-preserving multiplicative updates. We summarize known results and point out some open problems.
Cite
@article{arxiv.1805.01722,
title = {Regularization of ill-posed problems with non-negative solutions},
author = {Christian Clason and Barbara Kaltenbacher and Elena Resmerita},
journal= {arXiv preprint arXiv:1805.01722},
year = {2018}
}
Comments
survey article