activity
20162023
most citedReverse approximation of gradient flows as Minimizing Movements: a conjecture by De Giorgi

1 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

math.AP2023★ 1 cited

A Kernel-Density-Estimator Minimizing Movement Scheme for Diffusion Equations

Florentine Fleißner

The mathematical theory of a novel variational approximation scheme for general second and fourth order partial differential equations \begin{equation}\label{eq: A} \partial_t u -…

math.AP2020

A note on the differentiability of the Hellinger-Kantorovich distances

Florentine Fleißner

This paper will deal with differentiability properties of the class of Hellinger-Kantorovich distances which was recently introduced on the space of finite nonnegative Radon measur…

math.AP2020

A Minimizing Movement approach to a class of scalar reaction-diffusion equations

Florentine Catharina Fleißner

The purpose of this paper is to introduce a Minimizing Movement approach to a class of scalar reaction-diffusion equations, which is built on their gradient-flow-like structure in…

math.CA2017★ 1 cited

Reverse approximation of gradient flows as Minimizing Movements: a conjecture by De Giorgi

Florentine Fleißner, Giuseppe Savaré

We consider the Cauchy problem for the gradient flow \begin{equation} \label{eq:81} \tag{} u'(t)=-\nablaϕ(u(t)),\quad t\ge 0;\quad u(0)=u_0, \end{equation} generated by a co…

math.AP2017

Minimal solutions to generalized Lambda-semiflows and gradient flows in metric spaces

Florentine Fleißner

Generalized Lambda-semiflows are an abstraction of semiflows with non-periodic solutions, for which there may be more than one solution corresponding to given initial data. A selec…

math.AP2016★ 1 cited

Gamma-convergence and relaxations for gradient flows in metric spaces: a minimizing movement approach

Florentine Fleißner

We present new abstract results on the interrelation between the minimizing movement scheme for gradient flows along a sequence of Gamma-converging functionals and the gradient flo…