{ "id": "1406.0724", "version": "v1", "published": "2014-06-03T14:31:17.000Z", "updated": "2014-06-03T14:31:17.000Z", "title": "An inertial Tseng's type proximal algorithm for nonsmooth and nonconvex optimization problems", "authors": [ "Radu Ioan Bot", "Ernö Robert Csetnek" ], "categories": [ "math.OC", "math.NA" ], "abstract": "We investigate the convergence of a forward-backward-forward proximal-type algorithm with inertial and memory effects when minimizing the sum of a nonsmooth function with a smooth one in the absence of convexity. The convergence is obtained provided an appropriate regularization of the objective satisfies the Kurdyka-\\L{}ojasiewicz inequality, which is for instance fulfilled for semi-algebraic functions.", "revisions": [ { "version": "v1", "updated": "2014-06-03T14:31:17.000Z" } ], "analyses": { "subjects": [ "90C26", "90C30", "65K10" ], "keywords": [ "inertial tsengs type proximal algorithm", "nonconvex optimization problems", "semi-algebraic functions", "appropriate regularization", "forward-backward-forward proximal-type algorithm" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2014arXiv1406.0724I" } } }