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19932026
most citedInferring population history with DIYABC: a user-friendly approach to Approximate Bayesian Computation

688 citations

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Showing 2019 · math.APShow all

14 papers · 2 filters

math.AP2019★ 60 cited

On the Optimal Control of Variational-Hemivariational Inequalities

Yi-bin Xiao, Mircea Sofonea

The present paper represents a continuation of our previous one. There, a continuous dependence result for the solution of an elliptic variational-hemivariational inequality was ob…

math.AP2019★ 2 cited

Convergence and Optimization Results for a History-dependent Variational Problem

Mircea Sofonea, Andaluzia Matei

We consider a mixed variational problem in real Hilbert spaces, defined on on the unbounded interval of time and governed by a history-dependent operator. We state the unique solva…

math.AP2019

Modulated Free Energy and Mean Field Limit

Didier Bresch, Pierre-Emmanuel Jabin, Zhenfu Wang

This is the document corresponding to the talk the first author gave at IH{É}S for the Laurent Schwartz seminar on November 19, 2019. It concerns our recent introduction of a modul…

math.AP2019★ 8 cited

Quantitative estimates of the threshold phenomena for propagation in reaction-diffusion equations

Matthieu Alfaro, Arnaud Ducrot, Gregory Faye

We focus on the (sharp) threshold phenomena arising in some reaction-diffusion equations supplemented with some compactly supported initial data. In the so-called ignition and bist…

math.AP2019★ 5 cited

Existence of infinite-energy and discretely self-similar global weak solutions for 3D MHD equations

Pedro Gabriel Fernández-Dalgo, Oscar Jarrín

This paper deals with the existence of global weak solutions for 3D MHD equations when the initial data belong to the weighted spaces , with and $…

math.AP2019★ 10 cited

Concentration estimates in a multi-host epidemiological model structured by phenotypic traits

Jean-Baptiste Burie, Arnaud Ducrot, Quentin Griette +1

In this work we consider an epidemic system modelling the evolution of a spore-producing pathogen within a multi-host population of plants. Here we focus our analysis on the study…