Descent gradient methods for nonsmooth minimization problems in ill-posed problems. Muoi, P. Q., Hào, D. N., Maass, P., & Pidcock, M. J. Computational Applied Mathematics, 298:105-122, 2016.
Descent gradient methods for nonsmooth minimization problems in ill-posed problems. [link]Link  Descent gradient methods for nonsmooth minimization problems in ill-posed problems. [link]Paper  bibtex   
@article{journals/jcam/MuoiHMP16,
  added-at = {2016-01-25T00:00:00.000+0100},
  author = {Muoi, Pham Quy and Hào, Dinh Nho and Maass, Peter and Pidcock, Michael},
  biburl = {http://www.bibsonomy.org/bibtex/2fc90462eb62296225e61890edca0df3f/dblp},
  ee = {http://dx.doi.org/10.1016/j.cam.2015.11.039},
  interhash = {5ed01bc1cf773f3e80c9ee75e7a6155f},
  intrahash = {fc90462eb62296225e61890edca0df3f},
  journal = {J. Computational Applied Mathematics},
  keywords = {dblp},
  pages = {105-122},
  timestamp = {2016-01-26T11:36:35.000+0100},
  title = {Descent gradient methods for nonsmooth minimization problems in ill-posed problems.},
  url = {http://dblp.uni-trier.de/db/journals/jcam/jcam298.html#MuoiHMP16},
  volume = 298,
  year = 2016
}

Downloads: 0