activity
20182023
most citedTime Reversal for elastic scatterer location from Acoustic Recording

3 citations · 6 across the 13 of their papers we have counts for

collaborators

14 papers

math.NA2023

An optimal first-order Taylor-like formula with a minimized remainder

Joël Chaskalovic, Franck Assous

In this paper, we derive an optimal first-order Taylor-like formula. In a seminal paper [14], we introduced a new first-order Taylor-like formula that yields a reduced remainder co…

math.NA2023★ 1 cited

Improved -interpolation error estimates in : Application to finite element method

Joel Chaskalovic, Franck Assous

Based on a new Taylor-like formula, we derived an improved interpolation error estimate in . We compare it with the classical error estimates based on the standard Taylor…

math.NA2023

Enhancing Interpolation and Approximation Error Estimates Using a Novel Taylor-like Formula

Joel Chaskalovic, Franck Assous

In this paper, we present an approach to enhance interpolation and approximation error estimates. Based on a previously derived first-order Taylor-like formula, we demonstrate its…

math.NA2023

A new second order Taylor-like theorem with an optimized reduced remainder

J. Chaskalovic, F. Assous

In this paper, we derive a variant of the Taylor theorem to obtain a new minimized remainder. For a given function defined on the interval , this formula is derived by i…

math.NA2022★ 1 cited

A refined first-order expansion formula in Rn: Application to interpolation and finite element error estimates

Joel Chaskalovic, Franck Assous

The aim of this paper is to derive a refined first-order expansion formula in Rn, the goal being to get an optimal reduced remainder, compared to the one obtained by usual Taylor's…

math.NA2020

Generalized Beta Prime Distribution Applied to Finite Element Error Approximation

Joel Chaskalovic, Franck Assous

In this paper we propose a new generation of probability laws based on the generalized Beta prime distribution to estimate the relative accuracy between two Lagrange finite element…

math.NA2020

Numerical validation of probabilistic laws to evaluate finite element error estimates

Joel Chaskalovic, Franck Assous

We propose a numerical validation of a probabilistic approach applied to estimate the relative accuracy between two Lagrange finite elements and . In particular,…

math.NA2020★ 3 cited

Time Reversal for elastic scatterer location from Acoustic Recording

Franck Assous, Moshe Lin

The aim of this paper is to study the feasibility of time-reversal methods in a non homogeneous elastic medium, from data recorded in an acoustic medium. We aim to determine, from…

math.NA2020

A hierarchy of reduced models to approximate Vlasov-Maxwell equations for slow time variations

Franck Assous, Yevgeni Furman

We introduce a new family of paraxial asymptotic models that approximate the Vlasov-Maxwell equations in non-relativistic cases. This formulation is -th order accurate in a para…

math.NA2019★ 1 cited

Numerical solution to the 3D Static Maxwell equations in axisymmetric singular domains with arbitrary data

Franck Assous, Irina Raichik

We propose a numerical method to solve the three-dimensional static Maxwell equations in a singular axisymmetric domain, generated by the rotation of a singular polygon around one…

math.NA2019

On generalized binomial laws to evaluate finite element accuracy: toward applications for adaptive mesh refinement

Joel Chaskalovic, Franck Assous

The aim of this paper is to provide new perspectives on the relative finite elements accuracy. Starting from a geometrical interpretation of the error estimate which can be deduced…

math.NA2019

Explicit k-dependency for finite elements in error estimates: application to probabilistic laws for accuracy analysis

Joel Chaskalovic, Franck Assous

We derive an explicit dependence in error estimates for Lagrange finite elements. Two laws of probability are established to measure the relative accuracy betwe…

math.NA2018

A new mixed functional-probabilistic approach for finite element accuracy

Joël Chaskalovic, Franck Assous

The aim of this paper is to provide a new perspective on finite element accuracy. Starting from a geometrical reading of the Bramble-Hilbert lemma, we recall the two probabilistic…

math.NA2018

A new probabilistic interpretation of Bramble-Hilbert lemma

Joël Chaskalovic, Franck Assous

The aim of this paper is to provide new perspectives on relative finite element accuracy which is usually based on the asymptotic speed of convergence comparison when the mesh size…