scholarly journals Graph Merriman--Bence--Osher as a SemiDiscrete Implicit Euler Scheme for Graph Allen--Cahn Flow

2020 ◽  
Vol 52 (5) ◽  
pp. 4101-4139
Author(s):  
Jeremy Budd ◽  
Yves Van Gennip
2021 ◽  
pp. 1-10
Author(s):  
Nejmeddine Chorfi

The aim of this work is to highlight that the adaptivity of the time step when combined with the adaptivity of the spectral mesh is optimal for a semi-linear parabolic equation discretized by an implicit Euler scheme in time and spectral elements method in space. The numerical results confirm the optimality of the order of convergence. The later is similar to the order of the error indicators.


2015 ◽  
Vol 784 ◽  
pp. 292-299 ◽  
Author(s):  
Stephan Wulfinghoff ◽  
Marek Fassin ◽  
Stefanie Reese

In this work, two time integration algorithms for the anisotropic damage model proposed by Lemaitre et al. (2000) are compared. Specifically, the standard implicit Euler scheme is compared to an algorithm which implicitly solves the elasto-plastic evolution equations and explicitly computes the damage update. To this end, a three dimensional bending example is solved using the finite element method and the results of the two algorithms are compared for different time step sizes.


2011 ◽  
Vol 47 (8) ◽  
pp. 1130-1138 ◽  
Author(s):  
R. Z. Dautov ◽  
A. I. Mikheeva

Author(s):  
Łukasz Nowak ◽  
Monika Pasławska-Południak ◽  
Krystyna Twardowska

On the convergence of the wavelet-Galerkin method for nonlinear filteringThe aim of the paper is to examine the wavelet-Galerkin method for the solution of filtering equations. We use a wavelet biorthogonal basis with compact support for approximations of the solution. Then we compute the Zakai equation for our filtering problem and consider the implicit Euler scheme in time and the Galerkin scheme in space for the solution of the Zakai equation. We give theorems on convergence and its rate. The method is numerically much more efficient than the classical Galerkin method.


2006 ◽  
Vol 44 (3) ◽  
pp. 1172-1190 ◽  
Author(s):  
Lars Diening ◽  
Andreas Prohl ◽  
Michael Růžička

Sign in / Sign up

Export Citation Format

Share Document