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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… 
2014
2014
In this work, we apply techniques in variational optimization to image segmentation. We study three di erent segmentation models… 
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… 
2007
2007
Results concerning extensions of monotone operators have a long history dating back to a classical paper by Debrunner and Flor… 
2006
2006
This paper deals with the design of state observers for a class of systems with set-valued right-hand-sides. Two main classes of… 
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… 
1971
1971
Abstract : Convex analysis can be useful in integer programming as a means of generating information about the integer…