@article{ad952ae46c2e4c1092cdb9dc08c5796c,
title = "A note on the convergence of an inertial version of a diagonal hybrid projection-point algorithm.",
abstract = "In this note, an inertial and relaxed version of a diagonal hybrid projectionproximal point algorithm is considered, in order to find the minimum of a function f approximated by a sequence of functions (in general, smoother than f or taking into account some constraints of the problem). Two convergence theorems are proved under different kind of assumptions, which allows to apply the method in various cases.",
keywords = "Diagonal iteration, Global convergence, Hybrid method, Inertial term, Parametric approximation, Proximal point, Relaxation",
author = "Miguel Carrasco and Karine Pichard",
note = "Funding Information: M. Carrasco was partially supported by FONDECYT grant 3080037. K. Pichard was supported by ECOS/CONICYT. The authors wish to thank the Centro de Modelamiento Matem{\'a}tico where part of this research was carried out.",
year = "2010",
month = may,
doi = "10.1080/02331930801951389",
language = "English",
volume = "59",
pages = "561--574",
journal = "Optimization",
issn = "0233-1934",
publisher = "Taylor and Francis Ltd.",
number = "4",
}