Paper to appear.International audienceThis paper first proposes another proof of the necessary and sufficient conditions of solution uniqueness in 1-norm minimization given recently by H. Zhang, W. Yin, and L. Cheng. The analysis avoids the need of the surjectivity assumption made by these authors and should be mainly appealing by its short length (it can therefore be proposed to students exercising in convex optimization). In the second part of the paper, the previous existence and uniqueness characterization is extended to the recovery problem where the ℓ 1 norm is substituted by a polyhedral gauge. In addition to present interest for a number of practical problems, this extension clarifies the geometrical aspect of the previous uniquenes...
Consider an over-determined linear system A'x = b and an under-determined linear system By = c. Give...
AbstractA number of characterizations are given which are both necessary and sufficient for the uniq...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
Paper to appear.International audienceThis paper first proposes another proof of the necessary and s...
In this paper, we study the solution uniqueness of an individual feasible vector of a class of conve...
This paper shows that the solutions to various convex l1 minimization problems are unique if and onl...
Sparse recovery finds numerous applications in different areas, for example, engineering, computer s...
International audienceIn this paper, we show the important roles of sharp minima and strong minima f...
The polyhedral approach is one of the most powerful techniques available for solving hard combinator...
Combinatorial optimization problems appear in many disciplines ranging from management and logistics...
The polyhedral approach is one of the most powerful techniques available for solving hard combinator...
In this paper we study the case of equalities in some comparison results for L(1)-norm or L(infinity...
A number of characterizations are given which are both necessary and sufficient for the uniqueness o...
Abstract. Gauge functions significantly generalize the notion of a norm, and gauge optimization, as ...
International audienceDuring the talk we will give a necessary and sufficient condition for the uniq...
Consider an over-determined linear system A'x = b and an under-determined linear system By = c. Give...
AbstractA number of characterizations are given which are both necessary and sufficient for the uniq...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...
Paper to appear.International audienceThis paper first proposes another proof of the necessary and s...
In this paper, we study the solution uniqueness of an individual feasible vector of a class of conve...
This paper shows that the solutions to various convex l1 minimization problems are unique if and onl...
Sparse recovery finds numerous applications in different areas, for example, engineering, computer s...
International audienceIn this paper, we show the important roles of sharp minima and strong minima f...
The polyhedral approach is one of the most powerful techniques available for solving hard combinator...
Combinatorial optimization problems appear in many disciplines ranging from management and logistics...
The polyhedral approach is one of the most powerful techniques available for solving hard combinator...
In this paper we study the case of equalities in some comparison results for L(1)-norm or L(infinity...
A number of characterizations are given which are both necessary and sufficient for the uniqueness o...
Abstract. Gauge functions significantly generalize the notion of a norm, and gauge optimization, as ...
International audienceDuring the talk we will give a necessary and sufficient condition for the uniq...
Consider an over-determined linear system A'x = b and an under-determined linear system By = c. Give...
AbstractA number of characterizations are given which are both necessary and sufficient for the uniq...
A system of linear inequality and equality constraints determines a convex polyhedral set of feasibl...