An iterative algorithm for sparse and constrained recovery with applications to divergence-free current reconstructions in magneto-encephalography

Ignace Loris, Caroline Verhoeven. An iterative algorithm for sparse and constrained recovery with applications to divergence-free current reconstructions in magneto-encephalography. Comp. Opt. and Appl., 54(2):399-416, 2013. [doi]

@article{LorisV13,
  title = {An iterative algorithm for sparse and constrained recovery with applications to divergence-free current reconstructions in magneto-encephalography},
  author = {Ignace Loris and Caroline Verhoeven},
  year = {2013},
  doi = {10.1007/s10589-012-9482-y},
  url = {http://dx.doi.org/10.1007/s10589-012-9482-y},
  researchr = {https://researchr.org/publication/LorisV13},
  cites = {0},
  citedby = {0},
  journal = {Comp. Opt. and Appl.},
  volume = {54},
  number = {2},
  pages = {399-416},
}