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Convex analysis

Convex analysis is the branch of mathematics devoted to the study of properties of convex functions and convex sets, often with applications in… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
A bivariate perspective on density functional theory is proposed, privileging neither potential nor density {\it a priori}. For a… 
2015
2015
In the proof of Theorem 2.2 of [1], the authors would like to replace the text: “Bauschke andWang [2, Theorem 5.7] proved that… 
2015
2015
Derivative-Free optimization (DFO) focuses on designing methods to solve optimization problems without the analytical knowledge… 
2014
2014
In this paper, we study the cooperative set tracking problem for a group of Lagrangian systems. Each system observes a convex set… 
2014
2014
Dierent imaging modalities produce nowadays images on smooth surfaces, represented by images painted on meshes or point clouds… 
2012
2012
Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many… 
2010
2010
The presence of abrupt changes, such as impulsive disturbances and load disturbances, make state estimation considerably more… 
2001
2001
Thin film deposition is an industrially-important process to which control theory has not historically been applied. The need for… 
1990
1990
In an optimization problem that depends on parameters, an important issue is the effect that perturbations of the parameters can… 
1990
1990
Intended for a wide range of readers, this book covers the main ideas of convex analysis and approximation theory. The author…