The gradient scheme framework is based on a small number of properties and encompasses a large number of numerical methods for diffusion models. We recall these properties and develop some new generic tools associated with the gradient scheme framework. These tools enable us to prove that classical schemes are indeed gradient schemes, and allow us to perform a complete and generic study of the well-known (but rarely well-studied) mass lumping process. They also allow an easy check of the mathematical properties of new schemes, by developing a generic process for eliminating unknowns via barycentric condensation, and by designing a concept of discrete functional analysis toolbox for schemes based on polytopal meshes
International audienceWe adapt the Gradient Discretisation Method (GDM), originally designed for ell...
International audienceThe aim of the research is the exploration of novel algorithms strategies for ...
As a counterpoint to classical stochastic particle methods for diffusion, we develop a deterministic...
The gradient scheme framework is based on a small number of properties and encompasses a large numbe...
International audienceThe gradient scheme framework is based on a small number of properties and enc...
The gradient scheme framework provides a unified analysis setting for many different families of num...
A wide range of diffusion equations can be interpreted as gradient flow with respect to Wasserstein ...
Cf file "changelog_hal.pdf"International audienceThis monograph is dedicated to the presentation of ...
We study the numerical behaviour of a particle method for gradient flows involving linear and nonlin...
Abstract. We study the numerical behaviour of a particle method for gradient flows involving linear ...
This thesis is dedicated to the variational and numerical study of a particular class of continuity ...
International audienceWe point out a simple 2D formula to reconstruct the discrete gradient on a pol...
We present a framework enabling variational data assimilation for gradient flows in general metric s...
Classical gradient systems have a linear relation between rates and driving forces. In generalized g...
We present two generalizations of the popular diffusion maps algorithm. The first generalization rep...
International audienceWe adapt the Gradient Discretisation Method (GDM), originally designed for ell...
International audienceThe aim of the research is the exploration of novel algorithms strategies for ...
As a counterpoint to classical stochastic particle methods for diffusion, we develop a deterministic...
The gradient scheme framework is based on a small number of properties and encompasses a large numbe...
International audienceThe gradient scheme framework is based on a small number of properties and enc...
The gradient scheme framework provides a unified analysis setting for many different families of num...
A wide range of diffusion equations can be interpreted as gradient flow with respect to Wasserstein ...
Cf file "changelog_hal.pdf"International audienceThis monograph is dedicated to the presentation of ...
We study the numerical behaviour of a particle method for gradient flows involving linear and nonlin...
Abstract. We study the numerical behaviour of a particle method for gradient flows involving linear ...
This thesis is dedicated to the variational and numerical study of a particular class of continuity ...
International audienceWe point out a simple 2D formula to reconstruct the discrete gradient on a pol...
We present a framework enabling variational data assimilation for gradient flows in general metric s...
Classical gradient systems have a linear relation between rates and driving forces. In generalized g...
We present two generalizations of the popular diffusion maps algorithm. The first generalization rep...
International audienceWe adapt the Gradient Discretisation Method (GDM), originally designed for ell...
International audienceThe aim of the research is the exploration of novel algorithms strategies for ...
As a counterpoint to classical stochastic particle methods for diffusion, we develop a deterministic...