International audienceDiffusive representation is an operator theory elaborated during the last years. It is devoted to time-nonlocal problems, allowing significant simplifications for analysis and numerical realization of integral time operators encountered in many physical situations. Namely, most of the shortcomings induced by time-nonlocal formulations are by-passed by use of suitable time-local state realizations deduced from diffusive representation and whose numerical approximations are straightforward, thanks to nice properties of diffusion equations. In this paper, we introduce the notion of diffusive representation and its dual one: the diffusive symbol, and we briefly describe the associated mathematical framework and numerical t...
The results which concern to existence of diffusive processes with the given local characteristics (...
Abstract. We consider integrodifferential equations of the abstract form H(∂t)Φ = G(∇)Φ+ f where H(∂...
AbstractUnder the general condition of the initial data, we will derive the crucial estimates which ...
International audienceDiffusive representation is an operator theory elaborated during the last year...
The concept of ''diffusive representation'' was previously introduced in the aim of transforming non...
International audienceIn this paper we deal with the derivation of state-realizations of linear oper...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
Bridging the gap between an abstract definition of pseudo-differential operators, such as (-\Delta)^...
The aim of this discussion is to give a broad view of the links between fractional differential equa...
formulation and identification of implicit Volterra models by means of diffusive representatio
International audienceThe concept of Diffusive Representation is used in this paper for modeling pur...
International audienceWe present a time-continuous identification method for nonlinear dynamic Volte...
Abstract The concept of diusive representation was previously intro duced in the aim of transformi...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
Diffusive systems respecting the fluctuation-dissipation theorem with multiplicative noise have been...
The results which concern to existence of diffusive processes with the given local characteristics (...
Abstract. We consider integrodifferential equations of the abstract form H(∂t)Φ = G(∇)Φ+ f where H(∂...
AbstractUnder the general condition of the initial data, we will derive the crucial estimates which ...
International audienceDiffusive representation is an operator theory elaborated during the last year...
The concept of ''diffusive representation'' was previously introduced in the aim of transforming non...
International audienceIn this paper we deal with the derivation of state-realizations of linear oper...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
Bridging the gap between an abstract definition of pseudo-differential operators, such as (-\Delta)^...
The aim of this discussion is to give a broad view of the links between fractional differential equa...
formulation and identification of implicit Volterra models by means of diffusive representatio
International audienceThe concept of Diffusive Representation is used in this paper for modeling pur...
International audienceWe present a time-continuous identification method for nonlinear dynamic Volte...
Abstract The concept of diusive representation was previously intro duced in the aim of transformi...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
Diffusive systems respecting the fluctuation-dissipation theorem with multiplicative noise have been...
The results which concern to existence of diffusive processes with the given local characteristics (...
Abstract. We consider integrodifferential equations of the abstract form H(∂t)Φ = G(∇)Φ+ f where H(∂...
AbstractUnder the general condition of the initial data, we will derive the crucial estimates which ...