A proximal bundle-based algorithm for nonsmooth constrained multiobjective optimization problems with inexact data
Sign Up to like & getrecommendations! Published in 2021 at "Numerical Algorithms"
DOI: 10.1007/s11075-021-01128-3
Abstract: In this paper, a proximal bundle-based method for solving nonsmooth nonconvex constrained multiobjective optimization problems with inexact information is proposed and analyzed. In this method, each objective function is treated individually without employing any scalarization.… read more here.
Keywords: proximal; proximal bundle; bundle based; multiobjective optimization ... See more keywords
Local Kernels That Approximate Bayesian Regularization and Proximal Operators
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2893071
Abstract: In this paper, we broadly connect kernel-based filtering (e.g., approaches such as the bilateral filter and non-local means, but also many more) with general variational formulations of Bayesian regularized least squares and the related concept… read more here.
Keywords: proximal; kernels approximate; proximal operators; local kernels ... See more keywords