Evelyn Buckwar

Orcid: 0000-0002-6441-2990

Affiliations:
  • Johannes Kepler University Linz, Austria
  • Heriot-Watt University, UK (former)


According to our database1, Evelyn Buckwar authored at least 25 papers between 2000 and 2024.

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Bibliography

2024
A Domain Decomposition Method for Stochastic Evolution Equations.
SIAM J. Numer. Anal., 2024

Numerical Approximations and Convergence Analysis of Piecewise Diffusion Markov Processes, with Application to Glioma Cell Migration.
CoRR, 2024

2022
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion.
J. Comput. Appl. Math., 2022

2021
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model.
CoRR, 2021

Correction to: Exponential mean-square stability properties of stochastic linear multistep methods.
Adv. Comput. Math., 2021

Exponential mean-square stability properties of stochastic linear multistep methods.
Adv. Comput. Math., 2021

2020
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs.
Stat. Comput., 2020

Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion.
CoRR, 2020

2018
Editorial.
Math. Comput. Simul., 2018

2017
An importance sampling technique in Monte Carlo methods for SDEs with a.s. stable and mean-square unstable equilibrium.
J. Comput. Appl. Math., 2017

2016
Splitting Integrators for the Stochastic Landau-Lifshitz Equation.
SIAM J. Sci. Comput., 2016

2015
Numerical Solution of the Neural Field Equation in the Two-Dimensional Case.
SIAM J. Sci. Comput., 2015

2014
Asymptotic and Transient Mean-Square Properties of Stochastic Systems Arising in Ecology, Fluid Dynamics, and System Control.
SIAM J. Appl. Math., 2014

2013
Corrigendum: On the use of a discrete form of the Itô formula in the article 'Almost sure asymptotic stability analysis of the -Maruyama method applied to a test system with stabilising and destabilising stochastic perturbations'.
LMS J. Comput. Math., 2013

2012
Almost sure asymptotic stability analysis of the <i>θ</i>-Maruyama method applied to a test system with stabilising and destabilising stochastic perturbations.
LMS J. Comput. Math., 2012

Non-normal drift structures and linear stability analysis of numerical methods for systems of stochastic differential equations.
Comput. Math. Appl., 2012

2011
A comparative linear mean-square stability analysis of Maruyama- and Milstein-type methods.
Math. Comput. Simul., 2011

Runge-Kutta methods for jump-diffusion differential equations.
J. Comput. Appl. Math., 2011

2010
Stochastic Runge--Kutta Methods for It[o-circumflex] SODEs with Small Noise.
SIAM J. Sci. Comput., 2010

Towards a Systematic Linear Stability Analysis of Numerical Methods for Systems of Stochastic Differential Equations.
SIAM J. Numer. Anal., 2010

2008
Weak Convergence of the Euler Scheme for Stochastic Differential Delay Equations.
LMS J. Comput. Math., 2008

2006
Multistep methods for SDEs and their application to problems with small noise.
SIAM J. Numer. Anal., 2006

Noise-Sensitivity in Machine Tool Vibrations.
Int. J. Bifurc. Chaos, 2006

2004
The ⊝-Maruyama scheme for stochastic functional differential equations with distributed memory term.
Monte Carlo Methods Appl., 2004

2000
Numerical Analysis of Explicit One-Step Methods for Stochastic Delay Differential Equations.
LMS J. Comput. Math., 2000


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