arXiv · 1507.01416
A forward-backward dynamical approach to the minimization of the sum of a nonsmooth convex with a smooth nonconvex function
Abstract
We address the minimization of the sum of a proper, convex and lower semicontinuous with a (possibly nonconvex) smooth function from the perspective of an implicit dynamical system of forward-backward type. The latter is formulated by means of the gradient of the smooth function and of the proximal point operator of the nonsmooth one. The trajectory generated by the dynamical system is proved to asymptotically converge to a critical point of the objective, provided a regularization of the latter satisfies the Kurdyka-\L{}ojasiewicz property. Convergence rates for the trajectory in terms of the \L{}ojasiewicz exponent of the regularized objective function are also provided.
Explore related subjects
Keep this discovery
Radu Ioan Bot, Ernö Robert Csetnek. 2015-07-06. A forward-backward dynamical approach to the minimization of the sum of a nonsmooth convex with a smooth nonconvex function. https://arxiv.org/abs/1507.01416
Cite the original work for its findings. Save a collection to share your selection of sources.