[BOOK][B] Iterative splitting methods for differential equations
J Geiser - 2011 - books.google.com
This work explains how to solve evolution equations via novel iterative-based splitting
methods that efficiently use computational and memory resources. It focuses on systems of …
methods that efficiently use computational and memory resources. It focuses on systems of …
Adaptive decomposition finite difference methods for solving singular problems—A review
Q Sheng - Frontiers of Mathematics in China, 2009 - Springer
Decomposition, or splitting, finite difference methods have been playing an important role in
the numerical solution of nonsingular differential equation problems due to their remarkable …
the numerical solution of nonsingular differential equation problems due to their remarkable …
[HTML][HTML] Iterative operator-splitting methods with higher-order time integration methods and applications for parabolic partial differential equations
J Geiser - Journal of Computational and Applied Mathematics, 2008 - Elsevier
In this paper we design higher-order time integrators for systems of stiff ordinary differential
equations. We combine implicit Runge–Kutta and BDF methods with iterative operator …
equations. We combine implicit Runge–Kutta and BDF methods with iterative operator …
[HTML][HTML] A modified iterated operator splitting method
I Faragó - Applied mathematical modelling, 2008 - Elsevier
In this paper we give a short overview of some traditional operator splitting methods.
Furthermore, we introduce two recently developed methods, namely the additive splitting …
Furthermore, we introduce two recently developed methods, namely the additive splitting …
Iterative operator‐splitting methods for nonlinear differential equations and applications
J Geiser - Numerical Methods for Partial Differential Equations, 2011 - Wiley Online Library
In this article, we consider iterative operator‐splitting methods for nonlinear differential
equations with bounded and unbounded operators. The main feature of the proposed idea …
equations with bounded and unbounded operators. The main feature of the proposed idea …
An active learning approach for improving the performance of equilibrium based chemical simulations
M Savino, C Lévy-Leduc, M Leconte… - Computational …, 2022 - Springer
In this paper, we propose a novel sequential data-driven method for dealing with equilibrium
based chemical simulations, which can be seen as a specific machine learning approach …
based chemical simulations, which can be seen as a specific machine learning approach …
Recent advances in splitting methods for multiphysics and multiscale: theory and applications
J Geiser - Journal of Algorithms & Computational …, 2015 - journals.sagepub.com
In this paper are presented some recent advances in multiscale splitting methods, based on
additive and iterative schemes and applied to deterministic and stochastic differential …
additive and iterative schemes and applied to deterministic and stochastic differential …
Adaptive operator splitting finite element method for Allen–Cahn equation
In this paper, a new numerical method is proposed and analyzed for the Allen–Cahn (AC)
equation. We divide the AC equation into linear section and nonlinear section based on the …
equation. We divide the AC equation into linear section and nonlinear section based on the …
[HTML][HTML] Additive and iterative operator splitting methods and their numerical investigation
As an alternative to the classical splitting methods, two new splitting schemes have been
developed recently: the additive and the iterative splitting. In this paper we discuss the most …
developed recently: the additive and the iterative splitting. In this paper we discuss the most …
Fourth-Order Splitting Methods for Time-DependantDifferential Equations
J Geiser - 2008 - edoc.hu-berlin.de
This study was suggested by previous work on the simulation of evolution equations with
scale-dependent processes, eg, wave-propagation or heat-transfer, that are modeled by …
scale-dependent processes, eg, wave-propagation or heat-transfer, that are modeled by …