A stabilized semi-implicit Fourier spectral method for nonlinear space-fractional reaction-diffusion equations

H Zhang, X Jiang, F Zeng, GE Karniadakis - Journal of Computational …, 2020 - Elsevier
The reaction-diffusion model can generate a wide variety of spatial patterns, which has been
widely applied in chemistry, biology, and physics, even used to explain self-regulated …

A plant for methanol and electricity production: Technical-economic analysis

AM Kler, EA Tyurina, AS Mednikov - Energy, 2018 - Elsevier
The paper is devoted to complex technical and economic studies of the large-scale
combined production of methanol and electricity based on brown coal. The proposed …

[HTML][HTML] Stability optimization of explicit Runge–Kutta methods with higher-order derivatives

GV Krivovichev - Algorithms, 2024 - mdpi.com
The paper is devoted to the parametric stability optimization of explicit Runge–Kutta
methods with higher-order derivatives. The key feature of these methods is the dependence …

A second-order exponential time differencing scheme for non-linear reaction-diffusion systems with dimensional splitting

EO Asante-Asamani, A Kleefeld, BA Wade - Journal of computational …, 2020 - Elsevier
A second-order L-stable exponential time-differencing (ETD) method is developed by
combining an ETD scheme with approximating the matrix exponentials by rational functions …

Stabilized explicit integrators for local parametrization in multi-rigid-body system dynamics

P Zhou, H Ren - Journal of Computational and …, 2022 - asmedigitalcollection.asme.org
In this work, stabilized explicit integrators for local parametrization are introduced to
calculate the dynamics of constrained multi-rigid-body systems, including those based on …

An implicit–explicit relaxation extrapolated Runge–Kutta and energy-preserving finite element method for Klein–Gordon–Schrödinger equations

Y Chen, L Yu, C Yao - … in Nonlinear Science and Numerical Simulation, 2024 - Elsevier
An implicit–explicit (IMEX) relaxation extrapolated Runge–Kutta (RERK) and energy-
preserving finite element method is designed for Klein–Gordon–Schrödinger (KGS) …

Improved runge–kutta–chebyshev methods

X Tang, A Xiao - Mathematics and Computers in Simulation, 2020 - Elsevier
This study proposes a class of improved Runge–Kutta–Chebyshev (RKC) methods for the
stiff systems arising from the spatial discretization of partial differential equations. We can …

Genetic Algorithm-Accelerated Optimization for Runge-Kutta Scheme Derivation in High-Dimensional Problems with Hard Constraints

G Goodship, S O'Sullivan, L Miralles-Pechuán - IEEE Access, 2024 - ieeexplore.ieee.org
The numerical derivation of high-order Extended Stability Runge-Kutta (ERSK) integration
schemes presents significant challenges due to the high-dimensional, non-convex, non …

[HTML][HTML] ESERK5: a fifth-order extrapolated stabilized explicit Runge–Kutta method

J Martín-Vaquero, A Kleefeld - Journal of computational and applied …, 2019 - Elsevier
A new algorithm is developed and analyzed for multi-dimensional non-linear parabolic
partial differential equations (PDEs) which are semi-discretized in the spatial variables …

Optimized low-dispersion and low-dissipation two-derivative Runge–Kutta method for wave equations

GV Krivovichev - Journal of Applied Mathematics and Computing, 2020 - Springer
The paper is devoted to the optimization of the explicit two-derivative sixth-order Runge–
Kutta method in order to obtain low dissipation and dispersion errors. The method is …