International audienceIn this paper, we study entropy maximisation problems in order to reconstruct functions or measures subject to very general integral constraints. Our work has a twofold purpose. We first make a global synthesis of entropy maximisation problems in the case of a single reconstruction (measure or function) from the convex analysis point of view, as well as in the framework of the embedding into the Maximum Entropy on the Mean (MEM) setting. We further propose an extension of the entropy methods for a multidimensional case
16 pagesWe tackle the inverse problem of reconstructing an unknown finite measure $\mu$ from a noisy...
Maximum entropy spectral density estimation is a technique for reconstructing an unknown density fun...
The maximum entropy (MaxEnt) method is a relatively new technique especially suitable for reconstruc...
International audienceIn this paper, we study entropy maximisation problems in order to reconstruct ...
There are two entropy-based methods to deal with linear inverse problems, which we shall call the or...
International audienceWe consider the linear inverse problem of reconstructing an unknown finite mea...
AbstractWe consider the linear inverse problem of reconstructing an unknown finite measure μ from a ...
We discuss informally two approaches to solving convex and nonconvex feasibility problems – via entr...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
To handle with inverse problems, two probabilistic approaches have been proposed: the maximum entrop...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
International audienceThis paper focuses on $\phi$-entropy functionals derived from a MaxEnt inverse...
and the generalized inverse problem Entropie maximale et problème inverse généralis
Here, we consider the following inverse problem: Determination of an increasing continuous function ...
this paper [10], we began with a constrained optimization problem of type (P ) and transformed it to...
16 pagesWe tackle the inverse problem of reconstructing an unknown finite measure $\mu$ from a noisy...
Maximum entropy spectral density estimation is a technique for reconstructing an unknown density fun...
The maximum entropy (MaxEnt) method is a relatively new technique especially suitable for reconstruc...
International audienceIn this paper, we study entropy maximisation problems in order to reconstruct ...
There are two entropy-based methods to deal with linear inverse problems, which we shall call the or...
International audienceWe consider the linear inverse problem of reconstructing an unknown finite mea...
AbstractWe consider the linear inverse problem of reconstructing an unknown finite measure μ from a ...
We discuss informally two approaches to solving convex and nonconvex feasibility problems – via entr...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
To handle with inverse problems, two probabilistic approaches have been proposed: the maximum entrop...
International audienceWe consider the maximum entropy problems associated with Rényi $Q$-entropy, su...
International audienceThis paper focuses on $\phi$-entropy functionals derived from a MaxEnt inverse...
and the generalized inverse problem Entropie maximale et problème inverse généralis
Here, we consider the following inverse problem: Determination of an increasing continuous function ...
this paper [10], we began with a constrained optimization problem of type (P ) and transformed it to...
16 pagesWe tackle the inverse problem of reconstructing an unknown finite measure $\mu$ from a noisy...
Maximum entropy spectral density estimation is a technique for reconstructing an unknown density fun...
The maximum entropy (MaxEnt) method is a relatively new technique especially suitable for reconstruc...