Title of article :
A Subgradient Method for Unconstrained Nonconvex Nonsmooth Optimization
Author/Authors :
Maleknia, M University of Isfahan
Abstract :
We propose an iterative method that solves an uncon-strained nonconvex nonsmooth optimization problem. The proposed
method is a descent method that uses subgradients at each iteration and contains very simple procedures for finding descent directions and
for solving line search subproblems. The convergence of the algorithms
is studied.
Keywords :
Nonsmooth optimization , Subgradient method
Journal title :
Astroparticle Physics