@article{9e0fb8b6ff304c8094f930058775eb8a,
title = "A fast dual proximal gradient algorithm for convex minimization and applications",
abstract = "We consider the convex composite problem of minimizing the sum of a strongly convex function and a general extended valued convex function. We present a dual-based proximal gradient scheme for solving this problem. We show that although the rate of convergence of the dual objective function sequence converges to the optimal value with the rate O(1/k2), the rate of convergence of the primal sequence is of the order O(1/k).",
keywords = "Convex optimization, Dual-based methods, Fast gradient methods, Rate of convergence",
author = "Amir Beck and Marc Teboulle",
note = "Funding Information: The work of Amir Beck partially supported by ISF grant #25312 and the work of Marc Teboulle was partially supported by ISF grant #99812 .",
year = "2014",
doi = "10.1016/j.orl.2013.10.007",
language = "אנגלית",
volume = "42",
pages = "1--6",
journal = "Operations Research Letters",
issn = "0167-6377",
publisher = "Elsevier",
number = "1",
}