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Proper convex function

Known as: Proper concave function, Proper convex 
In mathematical analysis (in particular convex analysis) and optimization, a proper convex function is a convex function f taking values in the… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Copositivity of tensors plays an important role in vacuum stability of a general scalar potential, polynomial optimization… Expand
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Highly Cited
2013
Highly Cited
2013
Consider the classical state feedback design in the linear system ẋ = Ax + Bu subject to performance specifications with an… Expand
Highly Cited
2013
Highly Cited
2013
The nuclear norm is widely used to induce low-rank solutions for many optimization problems with matrix variables. Recently, it… Expand
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Highly Cited
2012
Highly Cited
2012
We study the problem of estimating high-dimensional regression models regularized by a structured sparsity-inducing penalty that… Expand
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2012
2012
Abstract In this paper, we characterize approximate Benson-proper solutions of a constrained vector optimization problem with… Expand
Highly Cited
2005
Highly Cited
2005
Abstract The DC programming and its DC algorithm (DCA) address the problem of minimizing a function f=g−h (with g,h being lower… Expand
Highly Cited
2002
Highly Cited
2002
I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract In this paper, we use the implicit resolvent operator technique to study the sensitivity analysis for strongly nonlinear… Expand
Highly Cited
1996
Highly Cited
1996
Abstract Bundle methods for Nondifferentiable Optimization are widely recognized as one of the best choices for the solution of… Expand
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Highly Cited
1966
Highly Cited
1966
Each lower semi-continuous proper convex function / on a Banach space E defines a certain multivalued mapping df from E to E… Expand