DOIAbstract
This chapter surveys key concepts in convex duality theory and their application to the analysis and numerical solution of problem archetypes in imaging
This chapter surveys key concepts in convex duality theory and their application to the analysis and numerical solution of problem archetypes in imaging
AbstractA completely symmetric duality theory is derived for convex integral functionals. As an exam...
Revised 04-07-09Our Goals for the Week A brief introduction to some key ideas from optimization that...
In this paper we present two approaches to duality in multiple objective linear programming. The fir...
This chapter surveys key concepts in convex duality theory and their application to the analysis and...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
Fundamentals of Convex Analysis offers an in-depth look at some of the fundamental themes covered wi...
Thesis. 1977. Ph.D.--Massachusetts Institute of Technology. Dept. of Mathematics.MICROFICHE COPY AVA...
textabstractThe aim of this paper is to make a contribution to the investigation of the roots and es...
Summary. The number of computational or theoretical applications of nonlinear duality theory is smal...
6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theo...
AbstractA duality theory is derived for minimizing the maximum of a finite set of convex functions s...
textabstractThis paper presents a unified study of duality properties for the problem of minimizing ...
We study geometric duality for convex vector optimization problems. For a primal problem with a $q$-...
Optimization methods are at the core of many problems in signal/image processing, computer vision, a...
AbstractA completely symmetric duality theory is derived for convex integral functionals. As an exam...
Revised 04-07-09Our Goals for the Week A brief introduction to some key ideas from optimization that...
In this paper we present two approaches to duality in multiple objective linear programming. The fir...
This chapter surveys key concepts in convex duality theory and their application to the analysis and...
Problems of minimizing a convex function or maximizing a concave function over a convex set are call...
The duality principle provides that optimization problems may be viewed from either of two perspecti...
Fundamentals of Convex Analysis offers an in-depth look at some of the fundamental themes covered wi...
Thesis. 1977. Ph.D.--Massachusetts Institute of Technology. Dept. of Mathematics.MICROFICHE COPY AVA...
textabstractThe aim of this paper is to make a contribution to the investigation of the roots and es...
Summary. The number of computational or theoretical applications of nonlinear duality theory is smal...
6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theo...
AbstractA duality theory is derived for minimizing the maximum of a finite set of convex functions s...
textabstractThis paper presents a unified study of duality properties for the problem of minimizing ...
We study geometric duality for convex vector optimization problems. For a primal problem with a $q$-...
Optimization methods are at the core of many problems in signal/image processing, computer vision, a...
AbstractA completely symmetric duality theory is derived for convex integral functionals. As an exam...
Revised 04-07-09Our Goals for the Week A brief introduction to some key ideas from optimization that...
In this paper we present two approaches to duality in multiple objective linear programming. The fir...
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