In view of the minimization of a nonsmooth nonconvex function f, we prove an abstract convergence result for descent methods satisfying a sufficient-decrease assumption, and …
AD Ioffe - Springer Monographs in Mathematics. Springer, Cham, 2017 - Springer
Variational Analysis of Regular Mappings Page 1 Springer Monographs in Mathematics Variational Analysis of Regular Mappings Alexander D. Ioffe Theory and Applications Page 2 …
G Li, TK Pong - Foundations of computational mathematics, 2018 - Springer
In this paper, we study the Kurdyka–Łojasiewicz (KL) exponent, an important quantity for analyzing the convergence rate of first-order methods. Specifically, we develop various …
H Attouch, J Bolte, P Redont… - … of operations research, 2010 - pubsonline.informs.org
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L (x, y)= f (x)+ Q (x, y)+ g (y), where f and g are …
T Jiang, W Yu - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
This paper investigates the interference nulling capability of reconfigurable intelligent surface (RIS) in a multiuser environment where multiple single-antenna transceivers …
H Asi, JC Duchi - SIAM Journal on Optimization, 2019 - SIAM
We develop model-based methods for solving stochastic convex optimization problems, introducing the approximate-proximal point, or aProx, family, which includes the stochastic …
P Frankel, G Garrigos, J Peypouquet - Journal of Optimization Theory and …, 2015 - Springer
We study the convergence of general descent methods applied to a lower semi-continuous and nonconvex function, which satisfies the Kurdyka–Łojasiewicz inequality in a Hilbert …
D Leventhal, AS Lewis - Mathematics of Operations …, 2010 - pubsonline.informs.org
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding on a …
M Wagner, Y Park, P Gerstoft - IEEE transactions on signal …, 2021 - ieeexplore.ieee.org
Gridless direction of arrival (DOA) estimation is addressed for a 1-D non-uniform array (NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …