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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
Derivative-Free optimization (DFO) focuses on designing methods to solve optimization problems without the analytical knowledge… 
2014
2014
In this work, we apply techniques in variational optimization to image segmentation. We study three di erent segmentation models… 
2011
2011
Image segmentation is an essential preprocessing tread in a complicated and composite image dealing out algorithm. In segmenting… 
2008
2008
For some natural classes of topological vector spaces, we show the absolute nonmeasurability of Minkowski’s sum of certain two… 
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… 
Review
1996
Review
1996
Modern tools for local analysis of optimization problems are based on interplay between convexity, order and nonstandard models… 
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…