Efficient SAV Algorithms for Curvature Minimization Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3217586
Abstract: The curvature regularization method is well-known for its good geometric interpretability and strong priors in the continuity of edges, which has been applied to various image processing tasks. However, due to the non-convex, non-smooth, and… read more here.
Keywords: curvature minimization; efficient sav; minimization problems; curvature ... See more keywords
A proximal gradient method with double inertial steps for minimization problems involving demicontractive mappings
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Inequalities and Applications"
DOI: 10.1186/s13660-024-03145-x
Abstract: In this article, we present a novel proximal gradient method based on double inertial steps for solving fixed points of demicontractive mapping and minimization problems. We also establish a weak convergence theorem by applying this… read more here.
Keywords: minimization problems; method; gradient method; proximal gradient ... See more keywords
Strong convergence of an inertial extrapolation method for a split system of minimization problems
Sign Up to like & getrecommendations! Published in 2020 at "Demonstratio Mathematica"
DOI: 10.1515/dema-2020-0025
Abstract: In this article, we propose an inertial extrapolation-type algorithm for solving split system of minimization problems: finding a common minimizer point of a finite family of proper, lower semicontinuous convex functions and whose image under… read more here.
Keywords: split system; system minimization; strong convergence; minimization problems ... See more keywords
An Algorithm for Solving Common Points of Convex Minimization Problems with Applications
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DOI: 10.3390/sym15010007
Abstract: In algorithm development, symmetry plays a vital part in managing optimization problems in scientific models. The aim of this work is to propose a new accelerated method for finding a common point of convex minimization… read more here.
Keywords: common points; algorithm solving; solving common; minimization problems ... See more keywords
On bargaining norms as solutions to cost–minimization problems
Sign Up to like & getrecommendations! Published in 2024 at "Theoretical Economics"
DOI: 10.3982/te4451
Abstract: This paper studies bargaining outcomes in economies in which agents may be able to impose outcomes that deviate from the relevant social norms but incur costs when they do so. It characterizes bargaining outcomes that… read more here.
Keywords: bargaining norms; solutions cost; solution; cost minimization ... See more keywords